diff --git a/.Rbuildignore b/.Rbuildignore index 9ce61f7..e9e993d 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -11,6 +11,7 @@ codemeta.json ^README_files$ ^LICENSE\.md$ ^examples$ +^\.claude$ ^\.github$ ^doc$ ^Meta$ diff --git a/.gitignore b/.gitignore index da1ad62..4063398 100644 --- a/.gitignore +++ b/.gitignore @@ -1,6 +1,9 @@ Rproj.user .Rproj.user .Rhistory +README.html +.claude/settings.local.json + # C++ .o @@ -21,4 +24,3 @@ revdep/ # Mac .DS_Store -README.html diff --git a/CRAN-SUBMISSION b/CRAN-SUBMISSION deleted file mode 100644 index 18f2611..0000000 --- a/CRAN-SUBMISSION +++ /dev/null @@ -1,3 +0,0 @@ -Version: 0.3.1 -Date: 2024-03-22 07:38:26 UTC -SHA: 26301b740b0063b5ac98dd1061d8bd11e37077b3 diff --git a/DESCRIPTION b/DESCRIPTION index ca18cd0..cfed481 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: mobsim Type: Package Title: Spatial Simulation and Scale-Dependent Analysis of Biodiversity Changes -Version: 0.3.2 +Version: 0.3.3 Authors@R: c( person("Felix", "May", email = "felix.may@fu-berlin.de", role = c("aut", "cre","cph"), @@ -9,7 +9,7 @@ Authors@R: c( person("Alban", "Sagouis", email = "alban.sagouis@idiv.de", role = "aut", comment = c(ORCID = "0000-0002-3827-1063")), - person("German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig", + person("German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig", role = "fnd", comment = c(ROR = "01jty7g66")), person("Freie Universität Berlin", role = "fnd", comment = c(ROR = "046ak2485")) @@ -24,7 +24,7 @@ Description: Simulation, analysis and sampling of spatial decay of similarity. License: GPL (>= 3) Depends: - R (>= 4.0.0) + R (>= 4.1.0) Imports: Rcpp, vegan, @@ -33,10 +33,11 @@ Imports: utils, graphics, stats, + spatstat.geom, + spatstat.explore, methods Suggests: quarto, - spatstat.geom, spatstat.random, testthat (>= 3.0.0), mockery, @@ -44,9 +45,10 @@ Suggests: LinkingTo: Rcpp Config/testthat/edition: 3 Config/testthat/parallel: false +Config/testthat/start-first: *utils*, *create_motherpoints*, *simulation*, *sampling* VignetteBuilder: quarto Roxygen: list(markdown = TRUE) -RoxygenNote: 7.3.2 +RoxygenNote: 7.3.3 Language: en-GB Encoding: UTF-8 URL: https://github.com/MoBiodiv/mobsim diff --git a/NAMESPACE b/NAMESPACE index 2274fae..0482202 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -3,20 +3,35 @@ S3method(plot,community) S3method(plot,dist_decay) S3method(plot,divar) +S3method(plot,mother_map) S3method(plot,sad) S3method(plot,spec_sample_curve) S3method(summary,community) S3method(summary,sad) +S3method(torusify,community) +S3method(torusify,data.frame) +S3method(torusify,mother_map) +S3method(torusify,numeric) export(abund_rect) export(community) +export(community2ppp) export(community_to_sad) +export(create_motherpoints) +export(create_random_ID) export(dist_decay) export(dist_decay_quadrats) export(div_rand_rect) export(div_rect) export(divar) +export(drift_x_motherpoints) +export(drift_x_species) +export(drift_y_motherpoints) +export(drift_y_species) +export(jitter_motherpoints) +export(jitter_species) export(rThomas_rcpp) export(rare_curve) +export(replace_individuals) export(sample_quadrats) export(sampling_grids) export(sampling_one_quadrat) @@ -31,7 +46,11 @@ export(sim_thomas_community) export(sim_thomas_coords) export(spec_sample) export(spec_sample_curve) +export(torusify) importFrom(Rcpp,sourceCpp) importFrom(methods,is) importFrom(sads,rsad) +importFrom(spatstat.explore,marktable) +importFrom(spatstat.geom,owin) +importFrom(spatstat.geom,ppp) useDynLib(mobsim, .registration = TRUE) diff --git a/R/Diversity_Area_Relationships.R b/R/Diversity_Area_Relationships.R index 9681a0d..e8a16d2 100644 --- a/R/Diversity_Area_Relationships.R +++ b/R/Diversity_Area_Relationships.R @@ -118,8 +118,8 @@ div_rand_rect <- function( n_rect = 100, exclude_zeros = FALSE ) { - dx_plot <- comm$x_min_max[2] - comm$x_min_max[1] - dy_plot <- comm$y_min_max[2] - comm$y_min_max[1] + dx_plot <- comm$x_min_max[[2]] - comm$x_min_max[[1]] + dy_plot <- comm$y_min_max[[2]] - comm$y_min_max[[1]] area <- dx_plot * dy_plot * prop_area square_size <- sqrt(area) @@ -139,13 +139,13 @@ div_rand_rect <- function( xpos <- stats::runif( n_rect, - min = comm$x_min_max[1], - max = comm$x_min_max[2] - dx_rect + min = comm$x_min_max[[1]], + max = comm$x_min_max[[2]] - dx_rect ) ypos <- stats::runif( n_rect, - min = comm$y_min_max[1], - max = comm$y_min_max[2] - dy_rect + min = comm$y_min_max[[1]], + max = comm$y_min_max[[2]] - dy_rect ) div_plots <- mapply( @@ -154,7 +154,7 @@ div_rand_rect <- function( ypos, MoreArgs = list(xsize = dx_rect, ysize = dy_rect, comm = comm) ) - if (exclude_zeros == TRUE) + if (isTRUE(exclude_zeros)) div_plots <- div_plots[, div_plots["n_species", ] > 0] return(c( @@ -220,8 +220,8 @@ divar <- function( stop("DiVAR requires a community object as input. See ?community.") n_scales <- length(prop_area) - dx_plot <- comm$x_min_max[2] - comm$x_min_max[1] - dy_plot <- comm$y_min_max[2] - comm$y_min_max[1] + dx_plot <- comm$x_min_max[[2]] - comm$x_min_max[[1]] + dy_plot <- comm$y_min_max[[2]] - comm$y_min_max[[1]] div_area <- sapply( prop_area, @@ -314,11 +314,11 @@ abund_rect <- function(x0, y0, xsize, ysize, comm) { x <- comm$census$x y <- comm$census$y - # logical vector which trees are in the sampling rectangle - in_rect <- (x >= x0 & x < (x0 + xsize) & y >= y0 & y < (y0 + ysize)) + # logical vector which trees are in the sampling rectangle + in_rect <- (x >= x0 & x < (x0 + xsize) & y >= y0 & y < (y0 + ysize)) - abund <- table(comm$census$species[in_rect]) - return(abund) + abund <- table(comm$census$species[in_rect]) + return(abund) } #' Distance decay of similarity @@ -345,6 +345,7 @@ abund_rect <- function(x0, y0, xsize, ysize, comm) { #'@export #' dist_decay <- function( + comm, prop_area = 0.005, n_samples = 20, method = "bray", @@ -354,12 +355,12 @@ dist_decay <- function( if (length(prop_area) != 1L) stop("prop_area has to be of length 1") - if (!is(comm, "community")) - stop("dist_decay requires a community object as input. See ?community.") + if (!is(comm, "community")) + stop("dist_decay requires a community object as input. See ?community.") - dx_plot <- comm$x_min_max[2] - comm$x_min_max[1] - dy_plot <- comm$y_min_max[2] - comm$y_min_max[1] - area <- dx_plot * dy_plot * prop_area + dx_plot <- comm$x_min_max[[2]] - comm$x_min_max[[1]] + dy_plot <- comm$y_min_max[[2]] - comm$y_min_max[[1]] + area <- dx_plot * dy_plot * prop_area samples1 <- sample_quadrats( comm, @@ -379,12 +380,12 @@ dist_decay <- function( similarity = as.numeric(similarity) ) - # order by increasing distance - dat_out <- dat_out[order(dat_out$distance), ] + # order by increasing distance + dat_out <- dat_out[order(dat_out$distance), ] - class(dat_out) <- c("dist_decay", "data.frame") + class(dat_out) <- c("dist_decay", "data.frame") - return(dat_out) + return(dat_out) } #' Distance decay of similarity with user-defined quadrats @@ -424,12 +425,12 @@ dist_decay_quadrats <- function(samples, method = "bray", binary = FALSE) { similarity = as.numeric(similarity) ) - # order by increasing distance - dat_out <- dat_out[order(dat_out$distance), ] + # order by increasing distance + dat_out <- dat_out[order(dat_out$distance), ] - class(dat_out) <- c("dist_decay", "data.frame") + class(dat_out) <- c("dist_decay", "data.frame") - return(dat_out) + return(dat_out) } @@ -503,4 +504,3 @@ plot.dist_decay <- function(x, ...) { # # return(abund.plots[,1]) # } -# diff --git a/R/Sample_quadrats.R b/R/Sample_quadrats.R index ff2b145..a6189a1 100644 --- a/R/Sample_quadrats.R +++ b/R/Sample_quadrats.R @@ -57,18 +57,18 @@ sample_quadrats <- function( quadrat_size <- sqrt(quadrat_area) - community_size <- (comm$x_min_max[2] - comm$x_min_max[1]) * - (comm$y_min_max[2] - comm$y_min_max[1]) + community_size <- (comm$x_min_max[[2]] - comm$x_min_max[[1]]) * + (comm$y_min_max[[2]] - comm$y_min_max[[1]]) if (quadrat_size < community_size) { # This works as long as we use square quadrats if (n_quadrats == 1L) { xy_dat <- sampling_one_quadrat( - xmin = comm$x_min_max[1], - xmax = comm$x_min_max[2] - quadrat_size, - ymin = comm$y_min_max[1], - ymax = comm$y_min_max[2] - quadrat_size, + xmin = comm$x_min_max[[1]], + xmax = comm$x_min_max[[2]] - quadrat_size, + ymin = comm$y_min_max[[1]], + ymax = comm$y_min_max[[2]] - quadrat_size, seed = seed ) } else { @@ -80,20 +80,20 @@ sample_quadrats <- function( xy_dat <- sampling_random_spatstat( n_quadrats = n_quadrats, min_dist = min_dist, - xmin = comm$x_min_max[1], - xmax = comm$x_min_max[2] - quadrat_size, - ymin = comm$y_min_max[1], - ymax = comm$y_min_max[2] - quadrat_size, + xmin = comm$x_min_max[[1]], + xmax = comm$x_min_max[[2]] - quadrat_size, + ymin = comm$y_min_max[[1]], + ymax = comm$y_min_max[[2]] - quadrat_size, seed = seed ) } else { xy_dat <- sampling_random_bruteforce( n_quadrats = n_quadrats, min_dist = min_dist, - xmin = comm$x_min_max[1], - xmax = comm$x_min_max[2] - quadrat_size, - ymin = comm$y_min_max[1], - ymax = comm$y_min_max[2] - quadrat_size, + xmin = comm$x_min_max[[1]], + xmax = comm$x_min_max[[2]] - quadrat_size, + ymin = comm$y_min_max[[1]], + ymax = comm$y_min_max[[2]] - quadrat_size, seed = seed ) } # end of no spatstat @@ -102,10 +102,10 @@ sample_quadrats <- function( xy_dat <- sampling_random_overlap( n_quadrats = n_quadrats, min_dist = min_dist, - xmin = comm$x_min_max[1], - xmax = comm$x_min_max[2] - quadrat_size, - ymin = comm$y_min_max[1], - ymax = comm$y_min_max[2] - quadrat_size, + xmin = comm$x_min_max[[1]], + xmax = comm$x_min_max[[2]] - quadrat_size, + ymin = comm$y_min_max[[1]], + ymax = comm$y_min_max[[2]] - quadrat_size, seed = seed ) } @@ -114,10 +114,10 @@ sample_quadrats <- function( if (method == "transect") { xy_dat <- sampling_transects( n_quadrats = n_quadrats, - xmin = comm$x_min_max[1], - xmax = comm$x_min_max[2], - ymin = comm$y_min_max[1], - ymax = comm$y_min_max[2], + xmin = comm$x_min_max[[1]], + xmax = comm$x_min_max[[2]], + ymin = comm$y_min_max[[1]], + ymax = comm$y_min_max[[2]], x0 = x0, y0 = y0, delta_x = delta_x, @@ -129,10 +129,10 @@ sample_quadrats <- function( if (method == "grid") { xy_dat <- sampling_grids( n_quadrats = n_quadrats, - xmin = comm$x_min_max[1], - xmax = comm$x_min_max[2], - ymin = comm$y_min_max[1], - ymax = comm$y_min_max[2], + xmin = comm$x_min_max[[1]], + xmax = comm$x_min_max[[2]], + ymin = comm$y_min_max[[1]], + ymax = comm$y_min_max[[2]], x0 = x0, y0 = y0, delta_x = delta_x, @@ -156,8 +156,8 @@ sample_quadrats <- function( comm_tab <- table(comm$census$species) xy_dat <- data.frame( - x = comm$x_min_max[1], - y = comm$y_min_max[1] + x = comm$x_min_max[[1]], + y = comm$y_min_max[[1]] ) rownames(xy_dat) <- "site1" @@ -171,13 +171,13 @@ sample_quadrats <- function( } # plot sampling design - if (plot == TRUE) { + if (isTRUE(plot)) { plot(comm) graphics::rect( - xy_dat$x, - xy_dat$y, - xy_dat$x + quadrat_size, - xy_dat$y + quadrat_size, + xleft = xy_dat$x, + ybottom = xy_dat$y, + xright = xy_dat$x + quadrat_size, + ytop = xy_dat$y + quadrat_size, lwd = 2, col = grDevices::adjustcolor("white", alpha.f = 0.6) ) @@ -243,7 +243,7 @@ sampling_random_spatstat <- function( #' Creates coordinates (lower left corner of a quadrat) randomly distributed but without overlapping each #' other #' -#' This function works without having the \code{spatstat.random} package install. +#' This function works without having the \code{spatstat.random} package installed. #' #' @inheritParams sampling_random_spatstat #' diff --git a/R/Sim_Community.R b/R/Sim_Community.R index 5b5d0ee..497a515 100644 --- a/R/Sim_Community.R +++ b/R/Sim_Community.R @@ -266,7 +266,7 @@ sim_sad <- function( abund_local <- table(sample_vec) s_local <- sum(abund_local > 0L) - if (fix_s_sim == TRUE && s_local < s_pool) { + if (isTRUE(fix_s_sim) && s_local < s_pool) { s_diff <- s_pool - s_local abund_local[abund_local == 0L] <- 1L N <- sum(abund_local) @@ -333,6 +333,7 @@ summary.sad <- function(object, ...) { #' species abundance rank on the x-axis (descending) and species abundance on #' the y-axis (Hubbell 2001). #' +#' #' @return This function is called for its side effects and has no return value. #' #' @references @@ -655,6 +656,8 @@ sim_poisson_community <- function( yrange = c(0, 1), seed = NULL ) { + base::stopifnot("n_sim has to be >= to s_pool" = n_sim >= s_pool) + abund_vec <- sim_sad( s_pool = s_pool, n_sim = n_sim, @@ -1144,6 +1147,7 @@ sim_thomas_community <- function( yrange = c(0, 1), seed = NULL ) { + base::stopifnot("n_sim has to be >= to s_pool" = n_sim >= s_pool) abund_vec <- sim_sad( s_pool = s_pool, n_sim = n_sim, diff --git a/R/create_motherpoints.R b/R/create_motherpoints.R new file mode 100644 index 0000000..3c1943d --- /dev/null +++ b/R/create_motherpoints.R @@ -0,0 +1,137 @@ +#' Creates a random number of mother points for a given number of species +#' +#' @param s_local (integer) Species number. +#' @param n_motherpoints_range (integer vector) Vector of integer values for the number of motherpoints a species can get. +#' @param xrange (numeric vector) Extent of the community in x-direction. +#' @param yrange (numeric vector) Extent of the community in y-direction. +#' @param seed (integer) Any integer passed to \code{\link[base]{set.seed}} for reproducibility. +#' +#' @returns A named list of class \code{mother_map} with three elements: +#' \enumerate{ +#' \item \code{n_mother_points} a vector of integers giving the number of mother points per species +#' \item \code{xmother} List of length equal to the number of species. Each list element +#' is a vector of x coordinates for every mother point. If one element is \code{numeric(0)}, the +#' corresponding species has no mother point and is not clustered. +#' \item \code{ymother} List of length equal to the number of species. Each list element +#' is a vector of y coordinates for every mother point. If one element is \code{numeric(0)}, the +#' corresponding species has no mother point and is not clustered. +#' } +#' +#' @details For each species, the function first draws a random number of +#' mother points in the given \code{n_motherpoints_range}. Then the function +#' places as many mother points as needed in the window given by \code{xrange} +#' and \code{yrange}. +#' @author Alban Sagouis +#' +#' +#' @examples +#' # Default behaviour +#' mpcoords <- create_motherpoints(s_local = 10L) +#' +#' # With more variability for the number of motherpoints +#' mpcoords <- create_motherpoints(s_local = 10L, n_motherpoints_range = 1L:100L) +#' +#' # Allowing no clustering at all +#' mpcoords <- create_motherpoints(s_local = 10L, n_motherpoints_range = 0L:5L) +#' +#' # Fixing the seed +#' mpcoords <- create_motherpoints(10L, seed = 42L) +#' +#' # Integration with mobsim::sim_thomas_coords() +#' abund_vec <- 11L:100L # a community with 90 species +#' s_local <- length(abund_vec) +#' mpcoords <- create_motherpoints(s_local, seed = 42L) +#' simdat <- mobsim::sim_thomas_coords(abund_vec, +#' xmother = mpcoords$xmother, # list of vectors +#' ymother = mpcoords$ymother # list of vectors +#' ) +#' # Integration with mobsim::sim_thomas_coords() without clustering +#' abund_vec <- 20L:25L +#' s_local <- length(abund_vec) +#' mpcoords <- create_motherpoints(s_local, n_motherpoints_range = 0L:1L, seed = 42L) +#' simdat <- mobsim::sim_thomas_coords(abund_vec, +#' xmother = mpcoords$xmother, # list of vectors +#' ymother = mpcoords$ymother # list of vectors +#' ) +#' plot(simdat) +#' +#' @export + +create_motherpoints <- function( + s_local, + n_motherpoints_range = 1:4, + xrange = c(0, 1), + yrange = c(0, 1), + seed = NULL +) { + if (!is.null(seed)) set.seed(seed) + + n_mother_points <- sample( + x = n_motherpoints_range, + size = s_local, + replace = TRUE + ) + xmother <- lapply( + n_mother_points, + stats::runif, + min = xrange[[1L]], + max = xrange[[2L]] + ) + ymother <- lapply( + n_mother_points, + stats::runif, + min = yrange[[1L]], + max = yrange[[2L]] + ) + + mpcoords <- list( + n_mother_points = n_mother_points, + xmother = xmother, + ymother = ymother, + x_min_max = xrange, + y_min_max = yrange + ) + class(mpcoords) <- c("mother_map", "list") + + return(mpcoords) +} + + +#' Plot mother_map object object +#' +#' Plot positions and species identities of all mother points created by +#' \code{\link{create_motherpoints}} or \code{\link{jitter_motherpoints}}. +#' +#' @param x mother_map object +#' @param col Colour vector to mark species identities +#' @param pch Plotting character to mark species identities. +#' pch 16 is advised for large data sets. +#' @param ... Other parameters to \code{\link[graphics:plot.default]{graphics::plot}} +#' +#' @rdname create_motherpoints +#' +#' @examples +#' mpcoords <- create_motherpoints(10L) +#' plot(mpcoords) +#' +#' @export +#' +plot.mother_map <- function(x, col = NULL, pch = NULL, ...) { + nspec <- length(x$n_mother_points) + if (is.null(col)) col <- grDevices::rainbow(nspec, alpha = 1) + if (is.null(pch)) pch <- 16 + + graphics::plot( + x = unlist(x$xmother), + y = unlist(x$ymother), + xlim = x$x_min_max, + ylim = x$y_min_max, + col = rep(x = seq_along(x$n_mother_points), times = x$n_mother_points), + xlab = "X", + ylab = "Y", + pch = pch, + las = 1, + asp = 1, + ... + ) +} diff --git a/R/drift_motherpoints.R b/R/drift_motherpoints.R new file mode 100644 index 0000000..fadcca3 --- /dev/null +++ b/R/drift_motherpoints.R @@ -0,0 +1,79 @@ +#' Adds a fixed drift movement to mother points x coordinates +#' +#' @param drift (numeric) Amount of spatial drift +#' @inheritParams jitter_motherpoints +#' @rdname drift_motherpoints +#' +#' @returns A named list of class \code{mother_map} with three elements: +#' \enumerate{ +#' \item \code{n_mother_points} a vector of integers giving the number of +#' mother points per species +#' \item \code{xmother} List of length equal to the number of species. Each +#' list element is a vector of x coordinates for every mother points. If one +#' element is NA, the the corresponding species is not clustered. +#' \item \code{ymother} List of length equal to the number of species. Each +#' list element is a vector of y coordinates for every mother points. If one +#' element is NA, the the corresponding species is not clustered. +#' } +#' +#' @details The function takes a \code{mother_map} object and adds a fixed +#' drift value to either the x or y coordinates. In a 1 by 1 landscape, a drift +#' of 0.5 means moving over half the map. +#' +#' @author Alban Sagouis +#' +#' +#' @examples +#' # Default behaviour +#' mpcoords <- create_motherpoints(s_local = 10L) +#' mpcoordsD <- drift_x_motherpoints(mpcoords, 0.1) +#' par(mfrow = c(1L, 2L)) +#' plot(mpcoords) +#' plot(mpcoordsD) +#' +#' # With more distance for the movements of motherpoints +#' mpcoordsD <- mpcoords |> +#' drift_x_motherpoints(drift = 0.5) |> +#' drift_y_motherpoints(drift = 0.5) +#' +#' # Integration with mobsim::sim_thomas_coords() +#' abund_vec <- 11L:100L # a community with 90 species +#' s_local <- length(abund_vec) +#' mpcoords <- create_motherpoints(s_local, seed = 42L) +#' simdat <- mobsim::sim_thomas_coords(abund_vec, +#' xmother = mpcoords$xmother, # list of vectors +#' ymother = mpcoords$ymother # list of vectors +#' ) +#' ## computing biodiversity metrics +#' div1 <- mobsim::div_rand_rect(prop_area = 0.01, comm = simdat, +#' n_rect = 10L, exclude_zeros = TRUE) +#' +#' ## moving motherpoints slightly +#' mpcoordsD <- drift_x_motherpoints(mpcoords, 0.01) |> +#' drift_y_motherpoints(drift = 0.01) +#' simdat2 <- mobsim::sim_thomas_coords(abund_vec, +#' xmother = mpcoords$xmother, # list of vectors +#' ymother = mpcoords$ymother # list of vectors +#' ) +#' ## computing biodiversity metrics +#' div2 <- mobsim::div_rand_rect(prop_area = 0.01, comm = simdat2, +#' n_rect = 10L, exclude_zeros = TRUE) +#' +#' @export + +drift_x_motherpoints <- function(mpcoords, drift) { + mpcoords$xmother <- lapply(mpcoords$xmother, function(x) x + drift) + + return(mpcoords) +} + +#' Adds a fixed drift movement to mother points y coordinates +#' @inherit drift_x_motherpoints +#' @rdname drift_motherpoints +#' @export + +drift_y_motherpoints <- function(mpcoords, drift) { + mpcoords$ymother <- lapply(mpcoords$ymother, function(x) x + drift) + + return(mpcoords) +} diff --git a/R/drift_species.R b/R/drift_species.R new file mode 100644 index 0000000..0f92d0a --- /dev/null +++ b/R/drift_species.R @@ -0,0 +1,47 @@ +#' Adds the same fixed movement to all individuals of a species on x +#' +#' @param drift (numeric) A single value added to the x or y coordinates. +#' @inheritParams jitter_species +#' @rdname drift_species +#' +#' @returns A named list of class \code{community} as described in +#' \code{\link[mobsim]{community}} +#' +#' @details The function takes a \code{community} object and adds a fixed +#' drift value to either x or y coordinate per species. In a 1 by 1 landscape, a +#' drift of 0.5 means moving over half the map. +#' @seealso drift_motherpoints +#' @author Alban Sagouis +#' +#' +#' @examples +#' # Default behaviour +#' simdat <- mobsim::sim_thomas_community(s_pool = 5L, n_sim = 100L, +#' mother_points = 1L) +#' simdatD <- simdat |> +#' drift_x_species(0.1) |> +#' drift_y_species(-0.2) +#' par(mfrow = c(1L, 2L)) +#' plot(simdat) +#' plot(simdatD) +#' +#' @export +#' + +drift_x_species <- function(comm, drift) { + comm$census$x <- comm$census$x + drift + + return(comm) +} + +#' Adds the same fixed movement to all individuals of a species on y +#' @inherit drift_x_species +#' @rdname drift_species +#' @export +#' + +drift_y_species <- function(comm, drift) { + comm$census$y <- comm$census$y + drift + + return(comm) +} diff --git a/R/jitter_motherpoints.R b/R/jitter_motherpoints.R new file mode 100644 index 0000000..f603694 --- /dev/null +++ b/R/jitter_motherpoints.R @@ -0,0 +1,89 @@ +#' Adds a random movement to mother point coordinates +#' +#' @param mpcoords (mother_map) List of class \code{mother_map}. +#' @param sd (numeric) Standard deviation for the \code{\link[stats]{rnorm}}. +#' @inheritParams create_motherpoints +#' +#' @returns A named list of class \code{mother_map} with three elements: +#' \enumerate{ +#' \item \code{n_mother_points} a vector of integers giving the number of mother points per species +#' \item \code{xmother} List of length equal to the number of species. Each list element +#' is a vector of x coordinates for every mother points. If one element is NA, the +#' the corresponding species is not clustered. +#' \item \code{ymother} List of length equal to the number of species. Each list element +#' is a vector of y coordinates for every mother points. If one element is NA, the +#' the corresponding species is not clustered. +#' } +#' +#' @details The function takes a \code{mother_map} object and adds a random +#' jitter value to each coordinate. The jitter follows a normal probability +#' distribution of \code{mean} = 0 and \code{sd} specified by the used with +#' argument \code{sd}. +#' +#' @author Alban Sagouis +#' +#' +#' @examples +#' # Default behaviour +#' mpcoords <- create_motherpoints(s_local = 10L) +#' mpcoordsJ <- jitter_motherpoints(mpcoords) +#' par(mfrow = c(1L, 2L)) +#' plot(mpcoords) +#' plot(mpcoordsJ) +#' +#' # With more variability for the movements of motherpoints +#' mpcoordsJ <- jitter_motherpoints(mpcoords, sd = 2) +#' +#' # Fixing the seed +#' mpcoordsJ <- jitter_motherpoints(mpcoords, seed = 42L) +#' +#' # Integration with mobsim::sim_thomas_coords() +#' abund_vec <- 11L:100L # a community with 90 species +#' s_local <- length(abund_vec) +#' mpcoords <- create_motherpoints(s_local, seed = 42L) +#' simdat <- mobsim::sim_thomas_coords(abund_vec, +#' xmother = mpcoords$xmother, # list of vectors +#' ymother = mpcoords$ymother # list of vectors +#' ) +#' ## computing biodiversity metrics +#' div1 <- mobsim::div_rand_rect(prop_area = 0.01, comm = simdat, n_rect = 10L, exclude_zeros = TRUE) +#' +#' ## moving motherpoints slightly +#' mpcoordsJ <- jitter_motherpoints(mpcoords) +#' simdat2 <- mobsim::sim_thomas_coords(abund_vec, +#' xmother = mpcoords$xmother, # list of vectors +#' ymother = mpcoords$ymother # list of vectors +#' ) +#' ## computing biodiversity metrics +#' div2 <- mobsim::div_rand_rect(prop_area = 0.01, comm = simdat2, +#' n_rect = 10L, exclude_zeros = TRUE) +#' +#' @export + +jitter_motherpoints <- function(mpcoords, sd = 0.01, seed = NULL) { + if (!is.null(seed)) set.seed(seed) + + mpcoords$xmother <- lapply( + mpcoords$xmother, + function(x) + x + + stats::rnorm( + n = length(x), + mean = 0, + sd = sd + ) + ) + + mpcoords$ymother <- lapply( + mpcoords$ymother, + function(y) + y + + stats::rnorm( + n = length(y), + mean = 0, + sd = sd + ) + ) + + return(mpcoords) +} diff --git a/R/jitter_species.R b/R/jitter_species.R new file mode 100644 index 0000000..d7e106f --- /dev/null +++ b/R/jitter_species.R @@ -0,0 +1,48 @@ +#' Adds the same random movement to all individuals of a species +#' +#' @param comm (community) List of class \code{community}. +#' @inheritParams jitter_motherpoints +#' +#' @returns A named list of class \code{community} as described in +#' \code{\link[mobsim]{community}} +#' +#' @details The function takes a \code{community} object and adds a random +#' jitter value to each coordinate per species. The jitter follows a normal +#' probability distribution of \code{mean} = 0 and \code{sd} specified by the +#' used with argument \code{sd}. +#' @seealso jitter_motherpoints +#' @author Alban Sagouis +#' +#' +#' @examples +#' # Default behaviour +#' simdat <- mobsim::sim_thomas_community(s_pool = 5L, n_sim = 100L, +#' mother_points = 1L) +#' simdatJ <- jitter_species(simdat) +#' par(mfrow = c(1L, 2L)) +#' plot(simdat) +#' plot(simdatJ) +#' +#' # With more variability for the movement of individuals +#' simdatJ <- jitter_species(simdat, sd = 2) +#' +#' # Fixing the seed +#' simdatJ <- jitter_species(simdat, seed = 42L) +#' +#' @export + +jitter_species <- function(comm, sd = 0.01, seed = NULL) { + if (!is.null(seed)) set.seed(seed) + + sp <- unique(comm$census$species) + x_shift <- stats::setNames( + stats::rnorm(n = length(sp), mean = 0L, sd = sd), nm = sp + ) + y_shift <- stats::setNames( + stats::rnorm(n = length(sp), mean = 0L, sd = sd), nm = sp + ) + comm$census$x <- comm$census$x + x_shift[comm$census$species] + comm$census$y <- comm$census$y + y_shift[comm$census$species] + + return(comm) +} diff --git a/R/mobsim_package.R b/R/mobsim_package.R index dc08bc3..0810814 100644 --- a/R/mobsim_package.R +++ b/R/mobsim_package.R @@ -1,3 +1,12 @@ +## usethis namespace: start +#' @importFrom Rcpp sourceCpp +## usethis namespace: end +NULL + +#' @useDynLib mobsim, .registration = TRUE +#' @details +#' `r lifecycle::badge("stable")` +#' #' mobsim: A package for spatial analysis of scale-dependent biodiversity changes. #' #' @description @@ -5,11 +14,4 @@ #' as well as for the analysis of spatially-explicit data, where each individual #' is described by its xy-coordinates and a species identity label. #' -#' @keywords internal -#' "_PACKAGE" -NULL - -#' @useDynLib mobsim, .registration = TRUE -#' @importFrom Rcpp sourceCpp -NULL diff --git a/R/reproduction.R b/R/reproduction.R new file mode 100644 index 0000000..3338770 --- /dev/null +++ b/R/reproduction.R @@ -0,0 +1,45 @@ +#' Takes an object of class \code{\link[mobsim]{community}} and replaces +#' individual species identities based on the neighbours +#' +#' @param comm Community object +#' @importFrom spatstat.explore marktable +#' @inheritParams spatstat.explore::marktable +#' @inheritParams create_motherpoints +#' +#' @details For each individual, the function first identifies neighbours' +#' identity using the \code{\link[spatstat.explore]{marktable}} function, +#' computes relative abundances and uses these relative abundances as random +#' drawing probabilities in \code{\link[base]{sample}}. +#' The neighbourhood community of an individual is restricted by parameter N +#' (number of individual) or R (radius). +#' @author Alban Sagouis +#' +#' @examples +#' # Integrated between mobsim::sim_thomas_coords() and the analysis of +#' # biodiversity +#' simdat <- mobsim::sim_thomas_coords(11L:100L) +#' mobsim::div_rand_rect(comm = simdat, prop_area = 0.01, n_rect = 20L) +#' simdat2 <- replace_individuals(simdat, N = 10L) +#' mobsim::div_rand_rect(comm = simdat2, prop_area = 0.01, n_rect = 20L) +#' +#' @export + +replace_individuals <- function(comm, N = NULL, R = NULL, seed = NULL) { + if (is.null(N) && is.null(R)) + stop("At least one of 'N' or 'R' must be specified.") + if (!is.null(seed)) set.seed(seed) + + spatial_comm <- community2ppp(comm) + + contingency_table <- spatstat.explore::marktable(spatial_comm, N = N, R = R) + S <- ncol(contingency_table) + comm$census$species <- factor( + apply( + X = contingency_table, + MARGIN = 1L, + FUN = function(ind) + names(ind)[[sample.int(n = S, size = 1L, prob = ind / sum(ind))]] + ) + ) + return(comm) +} diff --git a/R/utils.R b/R/utils.R new file mode 100644 index 0000000..5c0f5d4 --- /dev/null +++ b/R/utils.R @@ -0,0 +1,249 @@ +# Utilities + +## torusify() ---- +#' Rounds coordinates around like on a torus +#' +#' @param mpcoords Can be either a data.frame with columns \code{xmother} and +#' \code{ymother} or an object of class \code{mother_map} or a \code{numeric} +#' vector. +#' @param ... Kept for future uses. +#' +#' @details \code{torusify()} is a generic function that calls functions adapted +#' to the class of argument \code{mapcoords}. Classes \code{data.frame}, +#' \code{numeric} and \code{mother_map} are accepted at the moment. +#' +#' \code{torusify()} takes coordinates and makes sure that all +#' coordinates actually inside the window specified +#' in \code{x_min_max} and \code{y_min_max}. +#' +#' @returns Object returned depends on the object given. For an object of class +#' \code{mother_map} as given by \code{\link{create_motherpoints}}, see +#' \code{\link{torusify.mother_map}}. For a \code{data.frame}, see +#' \code{\link{torusify.data.frame}} and for a \code{numeric} vector, see +#' \code{\link{torusify.numeric}}. +#' +#' @examples +#' # Default behaviour +#' mpcoords <- create_motherpoints(s_local = 10L) +#' mpcoordsJ <- jitter_motherpoints(mpcoords) +#' mcoordsT <- torusify(mpcoordsJ) +#' @export + +torusify <- function(mpcoords, ...) { + UseMethod("torusify", mpcoords) +} + + +#' Rounds coordinates around like on a torus +#' +#' @param mpcoords A named list of class \code{mother_map} with three elements: +#' \enumerate{ +#' \item \code{n_mother_points} a vector of integers giving the number of +#' mother points per species \item \code{xmother} List of length equal to the +#' number of species. Each list element is a vector of x coordinates for +#' every mother points. If one element is NA, the the corresponding species +#' is not clustered. +#' \item \code{ymother} List of length equal to the number of species. Each +#' list element is a vector of y coordinates for every mother points. If one +#' element is NA, the the corresponding species is not clustered. +#' } +#' @param ... Kept for future uses. +#' +#' @returns An object of class \code{mother_map} of the same dimensions as the +#' one provided to the function. +#' @details The function takes a \code{mother_map} object and makes sure that +#' all coordinates that were just jittered are actually inside the window +#' specified in the \code{x_min_max} and \code{y_min_max} elements of the +#' \code{mother_map} object. +#' +#' @author Alban Sagouis +#' +#' @examples +#' # Default behaviour +#' mpcoords <- create_motherpoints(s_local = 10L) +#' mpcoordsJ <- jitter_motherpoints(mpcoords) +#' mcoordsT <- torusify(mpcoordsJ) +#' +#' @rdname torusify +#' @export + +torusify.mother_map <- function(mpcoords, ...) { + mpcoords$xmother <- lapply( + X = mpcoords$xmother, + FUN = function(MPs) + (MPs %% diff(mpcoords$x_min_max)) + mpcoords$x_min_max[1L] + ) + mpcoords$ymother <- lapply( + X = mpcoords$ymother, + FUN = function(MPs) + (MPs %% diff(mpcoords$y_min_max)) + mpcoords$y_min_max[1L] + ) + + return(mpcoords) +} + + +#' Rounds coordinates around like on a torus +#' +#' @param mpcoords A list of class \code{\link[mobsim]{community}} +#' @param ... Kept for future uses. +#' +#' @returns A list of class \code{community} of same dimension as +#' \code{mpcoords}. +#' +#' @details The function takes a \code{community} and makes sure that all +#' individual coordinates are actually inside the window specified by the +#' \code{x_min_max} and \code{y_min_max} elements of the \code{community} +#' object. +#' +#' @author Alban Sagouis +#' +#' @examples +#' simdat <- mobsim::sim_thomas_community(10L, 100L, mother_points = 1) +#' simdatJ <- jitter_species(simdat, sd = 1) +#' simdatJ <- torusify(simdatJ) +#' +#' @rdname torusify +#' @export + +torusify.community <- function(mpcoords, ...) { + mpcoords$census$x <- mpcoords$census$x %% + diff(mpcoords$x_min_max) + + mpcoords$x_min_max[1L] + mpcoords$census$y <- mpcoords$census$y %% + diff(mpcoords$y_min_max) + + mpcoords$y_min_max[1L] + return(mpcoords) +} + + +#' Rounds coordinates around like on a torus +#' +#' @param mpcoords A data.frame with two columns \code{xmother} and \code{ymother} +#' @param x_min_max vector of 2 values describing the window on the x axis +#' @param y_min_max vector of 2 values describing the window on the y axis +#' @param ... Kept for future uses. +#' +#' @returns A \code{data.frame} of same dimension as \code{mpcoords}. +#' +#' @details The function takes a \code{data.frame} and makes sure that all +#' coordinates are actually inside the window specified +#' by the \code{x_min_max} and \code{y_min_max} arguments. +#' +#' @author Alban Sagouis +#' +#' @examples +#' x_min_max <- c(0, 1) +#' y_min_max <- c(0, 1) +#' mpcoords <- data.frame(xmother = stats::runif(100L), +#' ymother = stats::runif(100L)) +#' mcoordsT <- torusify(mpcoords, x_min_max, y_min_max) +#' +#' @rdname torusify +#' @export + +torusify.data.frame <- function(mpcoords, x_min_max, y_min_max, ...) { + if (!all(is.element(c("xmother", "ymother"), colnames(mpcoords)))) + stop("mpcoords must have columns named 'xmother' and 'ymother'") + mpcoords$xmother <- mpcoords$xmother %% diff(x_min_max) + x_min_max[1L] + mpcoords$ymother <- mpcoords$ymother %% diff(y_min_max) + y_min_max[1L] + return(mpcoords) +} + + +#' Rounds coordinates around like on a torus +#' +#' @param mpcoords A vector of class \code{numeric}. +#' @param range vector of 2 values describing the window. +#' @param ... Kept for future uses. +#' +#' @returns A \code{numeric} vector of same length as \code{mpcoords}. +#' +#' @details The function takes a \code{numeric} vector and makes sure that all +#' values are actually inside the window specified +#' by the \code{range} argument. +#' +#' @author Alban Sagouis +#' +#' @examples +#' mpcoords <- stats::runif(10L, min = -1, max = 2) +#' torusify(mpcoords, range = c(0, 1)) +#' +#' @rdname torusify +#' @export + +torusify.numeric <- function(mpcoords, range, ...) { + return(mpcoords %% diff(range) + range[1L]) +} + + +## community2ppp() ---- +#' Converts an object of class \code{\link[mobsim]{community}} into an object of +#' class \code{\link[spatstat.geom]{ppp}}. +#' +#' @param comm Community object +#' +#' @importFrom spatstat.geom ppp +#' @importFrom spatstat.geom owin +#' +#' @details Extracts x and y coordinates and species marks from \code{comm} and +#' builds a marked planar point pattern (\code{\link[spatstat.geom]{ppp}}) with +#' an observation window derived from the \code{x_min_max} and \code{y_min_max} +#' elements of the \code{community} object. +#' @author Alban Sagouis +#' +#' @examples +#' # Integrated between mobsim::sim_thomas_coords() and spatstat.explore::marktable() +#' simdat <- mobsim::sim_thomas_coords(abund_vec = 11L:100L) +#' simdat <- community2ppp(comm = simdat) +#' spatstat.explore::marktable(X = simdat, N = 10L) +#' +#' @export + +community2ppp <- function(comm) { + spatstat.geom::ppp( + x = comm$census$x, + y = comm$census$y, + marks = comm$census$species, + window = spatstat.geom::owin( + xrange = comm$x_min_max, + yrange = comm$y_min_max + ) + ) +} + +## create_random_ID() ---- +#' Creates a random string. +#' +#' @param n (integer) number of random strings to create. Default is 1. +#' @inheritParams jitter_motherpoints +#' +#' @returns A character vector of length \code{n}. Each string is composed of +#' five uppercase letters, a zero-padded four-digit integer, and one uppercase +#' letter (e.g. \code{"QEAYJ1252R"}). +#' +#' @export +#' + +create_random_ID <- function(n = 1L, seed = NULL) { + if (exists(".Random.seed", envir = .GlobalEnv, inherits = FALSE)) { + oldseed <- get(".Random.seed", envir = .GlobalEnv, inherits = FALSE) + on.exit( + assign(".Random.seed", oldseed, envir = .GlobalEnv), + add = TRUE + ) + } + if (!is.null(seed)) set.seed(seed) else set.seed(Sys.time()) + + a <- do.call( + paste0, + replicate(5L, sample(LETTERS, n, replace = TRUE), simplify = FALSE) + ) + return( + paste0( + a, + sprintf(fmt = "%04d", sample(9999L, n, replace = TRUE)), + sample(LETTERS, n, replace = TRUE) + ) + ) +} diff --git a/README.md b/README.md index a983293..4884d36 100644 --- a/README.md +++ b/README.md @@ -74,7 +74,8 @@ abundance distribution and the same total number of individuals. ``` r library(mobsim) comm_rand <- sim_poisson_community(s_pool = 30, n_sim = 300) -comm_agg <- sim_thomas_community(s_pool = 30, n_sim = 300, sigma = 0.05, mother_points = 1) +comm_agg <- sim_thomas_community(s_pool = 30, n_sim = 300, + sigma = 0.05, mother_points = 1) ``` ``` r @@ -109,7 +110,7 @@ plot(m_species ~ prop_area, data = sar_rand, type = "b", log = "xy", xlab = "Proportion of area sampled", ylab = "No. of species", ylim = c(3,30)) lines(m_species ~ prop_area, data = sar_agg, type = "b", col = 2) -legend("bottomright", c("Random","Aggregated"), col = 1:2, lwd = 2) +legend("bottomright", c("Random", "Aggregated"), col = 1:2, lwd = 2) ```
@@ -140,3 +141,32 @@ id="fig-sampling" /> Figure 3
+ +### Dynamic communities + +This is a basic example which shows you how to make a community move in +space: + +``` r +simdat <- sim_thomas_community(s_pool = 5L, n_sim = 100L, mother_points = 1L) +simdatJ <- jitter_species(simdat, sd = 0.05) |> + drift_x_species(drift = 0.01) |> + drift_y_species(drift = -0.02) |> + torusify() +par(mfrow = c(1L, 2L)) +plot(simdat, las = 1, main = "T0") +plot(simdatJ, las = 1, main = "T1") +``` + +
+ + + +Figure 4 + +
+ +And now several steps with species movement in-between each step: + +![30 steps of Community](./inst/LNFUA1284L_jittering.gif) diff --git a/README.qmd b/README.qmd index c09e821..9a91dc3 100644 --- a/README.qmd +++ b/README.qmd @@ -82,7 +82,8 @@ and the same total number of individuals. #| label: example library(mobsim) comm_rand <- sim_poisson_community(s_pool = 30, n_sim = 300) -comm_agg <- sim_thomas_community(s_pool = 30, n_sim = 300, sigma = 0.05, mother_points = 1) +comm_agg <- sim_thomas_community(s_pool = 30, n_sim = 300, + sigma = 0.05, mother_points = 1) ``` ```{r} #| label: fig-map @@ -111,7 +112,7 @@ plot(m_species ~ prop_area, data = sar_rand, type = "b", log = "xy", xlab = "Proportion of area sampled", ylab = "No. of species", ylim = c(3,30)) lines(m_species ~ prop_area, data = sar_agg, type = "b", col = 2) -legend("bottomright", c("Random","Aggregated"), col = 1:2, lwd = 2) +legend("bottomright", c("Random", "Aggregated"), col = 1:2, lwd = 2) ``` ### Sampling of communities @@ -126,3 +127,23 @@ par(mfrow = c(1,2)) samples_rand <- sample_quadrats(comm_rand, avoid_overlap = TRUE) samples_agg <- sample_quadrats(comm_agg, avoid_overlap = TRUE) ``` + +### Dynamic communities +This is a basic example which shows you how to make a community move in space: + +```{r} +#| label: fig-dynamic + +simdat <- sim_thomas_community(s_pool = 5L, n_sim = 100L, mother_points = 1L) +simdatJ <- jitter_species(simdat, sd = 0.05) |> + drift_x_species(drift = 0.01) |> + drift_y_species(drift = -0.02) |> + torusify() +par(mfrow = c(1L, 2L)) +plot(simdat, las = 1, main = "T0") +plot(simdatJ, las = 1, main = "T1") +``` + +And now several steps with species movement in-between each step: + +![30 steps of Community](./inst/LNFUA1284L_jittering.gif) diff --git a/README_files/figure-commonmark/fig-dynamic-1.png b/README_files/figure-commonmark/fig-dynamic-1.png new file mode 100644 index 0000000..1f1b40f Binary files /dev/null and b/README_files/figure-commonmark/fig-dynamic-1.png differ diff --git a/README_files/figure-commonmark/fig-map-1.png b/README_files/figure-commonmark/fig-map-1.png index b4bfef1..92177d5 100644 Binary files a/README_files/figure-commonmark/fig-map-1.png and b/README_files/figure-commonmark/fig-map-1.png differ diff --git a/README_files/figure-commonmark/fig-sampling-1.png b/README_files/figure-commonmark/fig-sampling-1.png index e806847..c9559b8 100644 Binary files a/README_files/figure-commonmark/fig-sampling-1.png and b/README_files/figure-commonmark/fig-sampling-1.png differ diff --git a/README_files/figure-commonmark/fig-sar-1.png b/README_files/figure-commonmark/fig-sar-1.png index 59835ef..0dd2e64 100644 Binary files a/README_files/figure-commonmark/fig-sar-1.png and b/README_files/figure-commonmark/fig-sar-1.png differ diff --git a/codemeta.json b/codemeta.json index 25bea7a..8fcc9de 100644 --- a/codemeta.json +++ b/codemeta.json @@ -7,13 +7,13 @@ "codeRepository": "https://github.com/MoBiodiv/mobsim", "issueTracker": "https://github.com/MoBiodiv/mobsim/issues", "license": "https://spdx.org/licenses/GPL-3.0", - "version": "0.3.2", + "version": "0.3.3", "programmingLanguage": { "@type": "ComputerLanguage", "name": "R", "url": "https://r-project.org" }, - "runtimePlatform": "R version 4.5.0 (2025-04-11)", + "runtimePlatform": "R version 4.5.2 (2025-10-31)", "provider": { "@id": "https://cran.r-project.org", "@type": "Organization", @@ -48,7 +48,7 @@ "funder": [ { "@type": "Organization", - "name": "German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig" + "name": "German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig" }, { "@type": "Organization", @@ -77,18 +77,6 @@ }, "sameAs": "https://CRAN.R-project.org/package=quarto" }, - { - "@type": "SoftwareApplication", - "identifier": "spatstat.geom", - "name": "spatstat.geom", - "provider": { - "@id": "https://cran.r-project.org", - "@type": "Organization", - "name": "Comprehensive R Archive Network (CRAN)", - "url": "https://cran.r-project.org" - }, - "sameAs": "https://CRAN.R-project.org/package=spatstat.geom" - }, { "@type": "SoftwareApplication", "identifier": "spatstat.random", @@ -144,7 +132,7 @@ "@type": "SoftwareApplication", "identifier": "R", "name": "R", - "version": ">= 4.0.0" + "version": ">= 4.1.0" }, "2": { "@type": "SoftwareApplication", @@ -204,13 +192,37 @@ "name": "stats" }, "9": { + "@type": "SoftwareApplication", + "identifier": "spatstat.geom", + "name": "spatstat.geom", + "provider": { + "@id": "https://cran.r-project.org", + "@type": "Organization", + "name": "Comprehensive R Archive Network (CRAN)", + "url": "https://cran.r-project.org" + }, + "sameAs": "https://CRAN.R-project.org/package=spatstat.geom" + }, + "10": { + "@type": "SoftwareApplication", + "identifier": "spatstat.explore", + "name": "spatstat.explore", + "provider": { + "@id": "https://cran.r-project.org", + "@type": "Organization", + "name": "Comprehensive R Archive Network (CRAN)", + "url": "https://cran.r-project.org" + }, + "sameAs": "https://CRAN.R-project.org/package=spatstat.explore" + }, + "11": { "@type": "SoftwareApplication", "identifier": "methods", "name": "methods" }, "SystemRequirements": null }, - "fileSize": "2425.796KB", + "fileSize": "3781.327KB", "citation": [ { "@type": "ScholarlyArticle", @@ -262,6 +274,5 @@ "readme": "https://github.com/MoBiodiv/mobsim/blob/master/README.md", "contIntegration": "https://github.com/MoBiodiv/mobsim/actions/workflows/R-CMD-check.yaml", "developmentStatus": "https://www.repostatus.org/", - "keywords": ["species", "simulation", "biodiversity", "macroecology", "rarefaction", "point-pattern-analysis", "species-abundance-distributions", "r", "r-package", "rstats"], - "relatedLink": "https://CRAN.R-project.org/package=mobsim" + "keywords": ["species", "simulation", "biodiversity", "macroecology", "rarefaction", "point-pattern-analysis", "species-abundance-distributions", "r", "r-package", "rstats"] } diff --git a/inst/LNFUA1284L_jittering.gif b/inst/LNFUA1284L_jittering.gif new file mode 100755 index 0000000..48f3a55 Binary files /dev/null and b/inst/LNFUA1284L_jittering.gif differ diff --git a/man/community2ppp.Rd b/man/community2ppp.Rd new file mode 100644 index 0000000..2ee5ee0 --- /dev/null +++ b/man/community2ppp.Rd @@ -0,0 +1,32 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/utils.R +\name{community2ppp} +\alias{community2ppp} +\title{Converts an object of class \code{\link[mobsim]{community}} into an object of +class \code{\link[spatstat.geom]{ppp}}.} +\usage{ +community2ppp(comm) +} +\arguments{ +\item{comm}{Community object} +} +\description{ +Converts an object of class \code{\link[mobsim]{community}} into an object of +class \code{\link[spatstat.geom]{ppp}}. +} +\details{ +Extracts x and y coordinates and species marks from \code{comm} and +builds a marked planar point pattern (\code{\link[spatstat.geom]{ppp}}) with +an observation window derived from the \code{x_min_max} and \code{y_min_max} +elements of the \code{community} object. +} +\examples{ +# Integrated between mobsim::sim_thomas_coords() and spatstat.explore::marktable() +simdat <- mobsim::sim_thomas_coords(abund_vec = 11L:100L) +simdat <- community2ppp(comm = simdat) +spatstat.explore::marktable(X = simdat, N = 10L) + +} +\author{ +Alban Sagouis +} diff --git a/man/create_motherpoints.Rd b/man/create_motherpoints.Rd new file mode 100644 index 0000000..e7180f7 --- /dev/null +++ b/man/create_motherpoints.Rd @@ -0,0 +1,97 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/create_motherpoints.R +\name{create_motherpoints} +\alias{create_motherpoints} +\alias{plot.mother_map} +\title{Creates a random number of mother points for a given number of species} +\usage{ +create_motherpoints( + s_local, + n_motherpoints_range = 1:4, + xrange = c(0, 1), + yrange = c(0, 1), + seed = NULL +) + +\method{plot}{mother_map}(x, col = NULL, pch = NULL, ...) +} +\arguments{ +\item{s_local}{(integer) Species number.} + +\item{n_motherpoints_range}{(integer vector) Vector of integer values for the number of motherpoints a species can get.} + +\item{xrange}{(numeric vector) Extent of the community in x-direction.} + +\item{yrange}{(numeric vector) Extent of the community in y-direction.} + +\item{seed}{(integer) Any integer passed to \code{\link[base]{set.seed}} for reproducibility.} + +\item{x}{mother_map object} + +\item{col}{Colour vector to mark species identities} + +\item{pch}{Plotting character to mark species identities. +pch 16 is advised for large data sets.} + +\item{...}{Other parameters to \code{\link[graphics:plot.default]{graphics::plot}}} +} +\value{ +A named list of class \code{mother_map} with three elements: +\enumerate{ +\item \code{n_mother_points} a vector of integers giving the number of mother points per species +\item \code{xmother} List of length equal to the number of species. Each list element +is a vector of x coordinates for every mother point. If one element is \code{numeric(0)}, the +corresponding species has no mother point and is not clustered. +\item \code{ymother} List of length equal to the number of species. Each list element +is a vector of y coordinates for every mother point. If one element is \code{numeric(0)}, the +corresponding species has no mother point and is not clustered. +} +} +\description{ +Plot positions and species identities of all mother points created by +\code{\link{create_motherpoints}} or \code{\link{jitter_motherpoints}}. +} +\details{ +For each species, the function first draws a random number of +mother points in the given \code{n_motherpoints_range}. Then the function +places as many mother points as needed in the window given by \code{xrange} +and \code{yrange}. +} +\examples{ +# Default behaviour +mpcoords <- create_motherpoints(s_local = 10L) + +# With more variability for the number of motherpoints +mpcoords <- create_motherpoints(s_local = 10L, n_motherpoints_range = 1L:100L) + +# Allowing no clustering at all +mpcoords <- create_motherpoints(s_local = 10L, n_motherpoints_range = 0L:5L) + +# Fixing the seed +mpcoords <- create_motherpoints(10L, seed = 42L) + +# Integration with mobsim::sim_thomas_coords() +abund_vec <- 11L:100L # a community with 90 species +s_local <- length(abund_vec) +mpcoords <- create_motherpoints(s_local, seed = 42L) +simdat <- mobsim::sim_thomas_coords(abund_vec, + xmother = mpcoords$xmother, # list of vectors + ymother = mpcoords$ymother # list of vectors +) +# Integration with mobsim::sim_thomas_coords() without clustering +abund_vec <- 20L:25L +s_local <- length(abund_vec) +mpcoords <- create_motherpoints(s_local, n_motherpoints_range = 0L:1L, seed = 42L) +simdat <- mobsim::sim_thomas_coords(abund_vec, + xmother = mpcoords$xmother, # list of vectors + ymother = mpcoords$ymother # list of vectors +) +plot(simdat) + +mpcoords <- create_motherpoints(10L) +plot(mpcoords) + +} +\author{ +Alban Sagouis +} diff --git a/man/create_random_ID.Rd b/man/create_random_ID.Rd new file mode 100644 index 0000000..15ffccf --- /dev/null +++ b/man/create_random_ID.Rd @@ -0,0 +1,21 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/utils.R +\name{create_random_ID} +\alias{create_random_ID} +\title{Creates a random string.} +\usage{ +create_random_ID(n = 1L, seed = NULL) +} +\arguments{ +\item{n}{(integer) number of random strings to create. Default is 1.} + +\item{seed}{(integer) Any integer passed to \code{\link[base]{set.seed}} for reproducibility.} +} +\value{ +A character vector of length \code{n}. Each string is composed of +five uppercase letters, a zero-padded four-digit integer, and one uppercase +letter (e.g. \code{"QEAYJ1252R"}). +} +\description{ +Creates a random string. +} diff --git a/man/drift_motherpoints.Rd b/man/drift_motherpoints.Rd new file mode 100644 index 0000000..ea22aa0 --- /dev/null +++ b/man/drift_motherpoints.Rd @@ -0,0 +1,79 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/drift_motherpoints.R +\name{drift_x_motherpoints} +\alias{drift_x_motherpoints} +\alias{drift_y_motherpoints} +\title{Adds a fixed drift movement to mother points x coordinates} +\usage{ +drift_x_motherpoints(mpcoords, drift) + +drift_y_motherpoints(mpcoords, drift) +} +\arguments{ +\item{mpcoords}{(mother_map) List of class \code{mother_map}.} + +\item{drift}{(numeric) Amount of spatial drift} +} +\value{ +A named list of class \code{mother_map} with three elements: +\enumerate{ +\item \code{n_mother_points} a vector of integers giving the number of +mother points per species +\item \code{xmother} List of length equal to the number of species. Each +list element is a vector of x coordinates for every mother points. If one +element is NA, the the corresponding species is not clustered. +\item \code{ymother} List of length equal to the number of species. Each +list element is a vector of y coordinates for every mother points. If one +element is NA, the the corresponding species is not clustered. +} +} +\description{ +Adds a fixed drift movement to mother points x coordinates + +Adds a fixed drift movement to mother points y coordinates +} +\details{ +The function takes a \code{mother_map} object and adds a fixed +drift value to either the x or y coordinates. In a 1 by 1 landscape, a drift +of 0.5 means moving over half the map. +} +\examples{ +# Default behaviour +mpcoords <- create_motherpoints(s_local = 10L) +mpcoordsD <- drift_x_motherpoints(mpcoords, 0.1) +par(mfrow = c(1L, 2L)) +plot(mpcoords) +plot(mpcoordsD) + +# With more distance for the movements of motherpoints +mpcoordsD <- mpcoords |> + drift_x_motherpoints(drift = 0.5) |> + drift_y_motherpoints(drift = 0.5) + +# Integration with mobsim::sim_thomas_coords() +abund_vec <- 11L:100L # a community with 90 species +s_local <- length(abund_vec) +mpcoords <- create_motherpoints(s_local, seed = 42L) +simdat <- mobsim::sim_thomas_coords(abund_vec, + xmother = mpcoords$xmother, # list of vectors + ymother = mpcoords$ymother # list of vectors +) +## computing biodiversity metrics +div1 <- mobsim::div_rand_rect(prop_area = 0.01, comm = simdat, + n_rect = 10L, exclude_zeros = TRUE) + +## moving motherpoints slightly +mpcoordsD <- drift_x_motherpoints(mpcoords, 0.01) |> + drift_y_motherpoints(drift = 0.01) +simdat2 <- mobsim::sim_thomas_coords(abund_vec, + xmother = mpcoords$xmother, # list of vectors + ymother = mpcoords$ymother # list of vectors +) +## computing biodiversity metrics +div2 <- mobsim::div_rand_rect(prop_area = 0.01, comm = simdat2, + n_rect = 10L, exclude_zeros = TRUE) + +} +\author{ +Alban Sagouis +} diff --git a/man/drift_species.Rd b/man/drift_species.Rd new file mode 100644 index 0000000..ec30c60 --- /dev/null +++ b/man/drift_species.Rd @@ -0,0 +1,48 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/drift_species.R +\name{drift_x_species} +\alias{drift_x_species} +\alias{drift_y_species} +\title{Adds the same fixed movement to all individuals of a species on x} +\usage{ +drift_x_species(comm, drift) + +drift_y_species(comm, drift) +} +\arguments{ +\item{comm}{(community) List of class \code{community}.} + +\item{drift}{(numeric) A single value added to the x or y coordinates.} +} +\value{ +A named list of class \code{community} as described in +\code{\link[mobsim]{community}} +} +\description{ +Adds the same fixed movement to all individuals of a species on x + +Adds the same fixed movement to all individuals of a species on y +} +\details{ +The function takes a \code{community} object and adds a fixed +drift value to either x or y coordinate per species. In a 1 by 1 landscape, a +drift of 0.5 means moving over half the map. +} +\examples{ +# Default behaviour +simdat <- mobsim::sim_thomas_community(s_pool = 5L, n_sim = 100L, + mother_points = 1L) +simdatD <- simdat |> + drift_x_species(0.1) |> + drift_y_species(-0.2) +par(mfrow = c(1L, 2L)) +plot(simdat) +plot(simdatD) + +} +\seealso{ +drift_motherpoints +} +\author{ +Alban Sagouis +} diff --git a/man/figures/README-dynamic-1.png b/man/figures/README-dynamic-1.png new file mode 100644 index 0000000..66ce950 Binary files /dev/null and b/man/figures/README-dynamic-1.png differ diff --git a/man/figures/README-example-1.png b/man/figures/README-example-1.png new file mode 100644 index 0000000..d0dd8df Binary files /dev/null and b/man/figures/README-example-1.png differ diff --git a/man/figures/README-plot_communities-1.png b/man/figures/README-plot_communities-1.png new file mode 100644 index 0000000..ae08771 Binary files /dev/null and b/man/figures/README-plot_communities-1.png differ 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at 1827aaa91ad602ec85743fc3751eda041c5374c2 · MoBiodiv/mobsim"} \ No newline at end of file diff --git a/man/jitter_motherpoints.Rd b/man/jitter_motherpoints.Rd new file mode 100644 index 0000000..4f59209 --- /dev/null +++ b/man/jitter_motherpoints.Rd @@ -0,0 +1,75 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/jitter_motherpoints.R +\name{jitter_motherpoints} +\alias{jitter_motherpoints} +\title{Adds a random movement to mother point coordinates} +\usage{ +jitter_motherpoints(mpcoords, sd = 0.01, seed = NULL) +} +\arguments{ +\item{mpcoords}{(mother_map) List of class \code{mother_map}.} + +\item{sd}{(numeric) Standard deviation for the \code{\link[stats]{rnorm}}.} + +\item{seed}{(integer) Any integer passed to \code{\link[base]{set.seed}} for reproducibility.} +} +\value{ +A named list of class \code{mother_map} with three elements: +\enumerate{ +\item \code{n_mother_points} a vector of integers giving the number of mother points per species +\item \code{xmother} List of length equal to the number of species. Each list element +is a vector of x coordinates for every mother points. If one element is NA, the +the corresponding species is not clustered. +\item \code{ymother} List of length equal to the number of species. Each list element +is a vector of y coordinates for every mother points. If one element is NA, the +the corresponding species is not clustered. +} +} +\description{ +Adds a random movement to mother point coordinates +} +\details{ +The function takes a \code{mother_map} object and adds a random +jitter value to each coordinate. The jitter follows a normal probability +distribution of \code{mean} = 0 and \code{sd} specified by the used with +argument \code{sd}. +} +\examples{ +# Default behaviour +mpcoords <- create_motherpoints(s_local = 10L) +mpcoordsJ <- jitter_motherpoints(mpcoords) +par(mfrow = c(1L, 2L)) +plot(mpcoords) +plot(mpcoordsJ) + +# With more variability for the movements of motherpoints +mpcoordsJ <- jitter_motherpoints(mpcoords, sd = 2) + +# Fixing the seed +mpcoordsJ <- jitter_motherpoints(mpcoords, seed = 42L) + +# Integration with mobsim::sim_thomas_coords() +abund_vec <- 11L:100L # a community with 90 species +s_local <- length(abund_vec) +mpcoords <- create_motherpoints(s_local, seed = 42L) +simdat <- mobsim::sim_thomas_coords(abund_vec, + xmother = mpcoords$xmother, # list of vectors + ymother = mpcoords$ymother # list of vectors +) +## computing biodiversity metrics +div1 <- mobsim::div_rand_rect(prop_area = 0.01, comm = simdat, n_rect = 10L, exclude_zeros = TRUE) + +## moving motherpoints slightly +mpcoordsJ <- jitter_motherpoints(mpcoords) +simdat2 <- mobsim::sim_thomas_coords(abund_vec, + xmother = mpcoords$xmother, # list of vectors + ymother = mpcoords$ymother # list of vectors +) +## computing biodiversity metrics +div2 <- mobsim::div_rand_rect(prop_area = 0.01, comm = simdat2, + n_rect = 10L, exclude_zeros = TRUE) + +} +\author{ +Alban Sagouis +} diff --git a/man/jitter_species.Rd b/man/jitter_species.Rd new file mode 100644 index 0000000..aa2eeb6 --- /dev/null +++ b/man/jitter_species.Rd @@ -0,0 +1,50 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/jitter_species.R +\name{jitter_species} +\alias{jitter_species} +\title{Adds the same random movement to all individuals of a species} +\usage{ +jitter_species(comm, sd = 0.01, seed = NULL) +} +\arguments{ +\item{comm}{(community) List of class \code{community}.} + +\item{sd}{(numeric) Standard deviation for the \code{\link[stats]{rnorm}}.} + +\item{seed}{(integer) Any integer passed to \code{\link[base]{set.seed}} for reproducibility.} +} +\value{ +A named list of class \code{community} as described in +\code{\link[mobsim]{community}} +} +\description{ +Adds the same random movement to all individuals of a species +} +\details{ +The function takes a \code{community} object and adds a random +jitter value to each coordinate per species. The jitter follows a normal +probability distribution of \code{mean} = 0 and \code{sd} specified by the +used with argument \code{sd}. +} +\examples{ +# Default behaviour +simdat <- mobsim::sim_thomas_community(s_pool = 5L, n_sim = 100L, + mother_points = 1L) +simdatJ <- jitter_species(simdat) +par(mfrow = c(1L, 2L)) +plot(simdat) +plot(simdatJ) + +# With more variability for the movement of individuals +simdatJ <- jitter_species(simdat, sd = 2) + +# Fixing the seed +simdatJ <- jitter_species(simdat, seed = 42L) + +} +\seealso{ +jitter_motherpoints +} +\author{ +Alban Sagouis +} diff --git a/man/mobsim-package.Rd b/man/mobsim-package.Rd index cd23f51..d2f80c4 100644 --- a/man/mobsim-package.Rd +++ b/man/mobsim-package.Rd @@ -4,12 +4,17 @@ \name{mobsim-package} \alias{mobsim} \alias{mobsim-package} -\title{mobsim: A package for spatial analysis of scale-dependent biodiversity changes.} +\title{mobsim: Spatial Simulation and Scale-Dependent Analysis of Biodiversity Changes} \description{ The package includes functions to simulate species distributions in space as well as for the analysis of spatially-explicit data, where each individual is described by its xy-coordinates and a species identity label. } +\details{ +\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#stable}{\figure{lifecycle-stable.svg}{options: alt='[Stable]'}}}{\strong{[Stable]}} + +mobsim: A package for spatial analysis of scale-dependent biodiversity changes. +} \seealso{ Useful links: \itemize{ @@ -28,9 +33,8 @@ Authors: Other contributors: \itemize{ - \item German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig (01jty7g66) [funder] - \item Freie Universität Berlin (046ak2485) [funder] + \item German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig (\href{https://ror.org/01jty7g66}{ROR}) [funder] + \item Freie Universität Berlin (\href{https://ror.org/046ak2485}{ROR}) [funder] } } -\keyword{internal} diff --git a/man/replace_individuals.Rd b/man/replace_individuals.Rd new file mode 100644 index 0000000..ca5bde6 --- /dev/null +++ b/man/replace_individuals.Rd @@ -0,0 +1,46 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/reproduction.R +\name{replace_individuals} +\alias{replace_individuals} +\title{Takes an object of class \code{\link[mobsim]{community}} and replaces +individual species identities based on the neighbours} +\usage{ +replace_individuals(comm, N = NULL, R = NULL, seed = NULL) +} +\arguments{ +\item{comm}{Community object} + +\item{N}{ + Number of neighbours of each point. Incompatible with \code{R}. + } + +\item{R}{ + Neighbourhood radius. Incompatible with \code{N}. + } + +\item{seed}{(integer) Any integer passed to \code{\link[base]{set.seed}} for reproducibility.} +} +\description{ +Takes an object of class \code{\link[mobsim]{community}} and replaces +individual species identities based on the neighbours +} +\details{ +For each individual, the function first identifies neighbours' +identity using the \code{\link[spatstat.explore]{marktable}} function, +computes relative abundances and uses these relative abundances as random +drawing probabilities in \code{\link[base]{sample}}. +The neighbourhood community of an individual is restricted by parameter N +(number of individual) or R (radius). +} +\examples{ +# Integrated between mobsim::sim_thomas_coords() and the analysis of +# biodiversity +simdat <- mobsim::sim_thomas_coords(11L:100L) +mobsim::div_rand_rect(comm = simdat, prop_area = 0.01, n_rect = 20L) +simdat2 <- replace_individuals(simdat, N = 10L) +mobsim::div_rand_rect(comm = simdat2, prop_area = 0.01, n_rect = 20L) + +} +\author{ +Alban Sagouis +} diff --git a/man/sampling_random_bruteforce.Rd b/man/sampling_random_bruteforce.Rd index 3a312c2..a798e46 100644 --- a/man/sampling_random_bruteforce.Rd +++ b/man/sampling_random_bruteforce.Rd @@ -36,5 +36,5 @@ a data.frame with 2 columns x and y giving the coordinates of the lower left corner of the square quadrats. } \description{ -This function works without having the \code{spatstat.random} package install. +This function works without having the \code{spatstat.random} package installed. } diff --git a/man/torusify.Rd b/man/torusify.Rd new file mode 100644 index 0000000..9cb3f16 --- /dev/null +++ b/man/torusify.Rd @@ -0,0 +1,113 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/utils.R +\name{torusify} +\alias{torusify} +\alias{torusify.mother_map} +\alias{torusify.community} +\alias{torusify.data.frame} +\alias{torusify.numeric} +\title{Rounds coordinates around like on a torus} +\usage{ +torusify(mpcoords, ...) + +\method{torusify}{mother_map}(mpcoords, ...) + +\method{torusify}{community}(mpcoords, ...) + +\method{torusify}{data.frame}(mpcoords, x_min_max, y_min_max, ...) + +\method{torusify}{numeric}(mpcoords, range, ...) +} +\arguments{ +\item{mpcoords}{A vector of class \code{numeric}.} + +\item{...}{Kept for future uses.} + +\item{x_min_max}{vector of 2 values describing the window on the x axis} + +\item{y_min_max}{vector of 2 values describing the window on the y axis} + +\item{range}{vector of 2 values describing the window.} +} +\value{ +Object returned depends on the object given. For an object of class +\code{mother_map} as given by \code{\link{create_motherpoints}}, see +\code{\link{torusify.mother_map}}. For a \code{data.frame}, see +\code{\link{torusify.data.frame}} and for a \code{numeric} vector, see +\code{\link{torusify.numeric}}. + +An object of class \code{mother_map} of the same dimensions as the +one provided to the function. + +A list of class \code{community} of same dimension as +\code{mpcoords}. + +A \code{data.frame} of same dimension as \code{mpcoords}. + +A \code{numeric} vector of same length as \code{mpcoords}. +} +\description{ +Rounds coordinates around like on a torus + +Rounds coordinates around like on a torus + +Rounds coordinates around like on a torus + +Rounds coordinates around like on a torus + +Rounds coordinates around like on a torus +} +\details{ +\code{torusify()} is a generic function that calls functions adapted +to the class of argument \code{mapcoords}. Classes \code{data.frame}, +\code{numeric} and \code{mother_map} are accepted at the moment. + +\code{torusify()} takes coordinates and makes sure that all +coordinates actually inside the window specified +in \code{x_min_max} and \code{y_min_max}. + +The function takes a \code{mother_map} object and makes sure that +all coordinates that were just jittered are actually inside the window +specified in the \code{x_min_max} and \code{y_min_max} elements of the +\code{mother_map} object. + +The function takes a \code{community} and makes sure that all +individual coordinates are actually inside the window specified by the +\code{x_min_max} and \code{y_min_max} elements of the \code{community} +object. + +The function takes a \code{data.frame} and makes sure that all +coordinates are actually inside the window specified +by the \code{x_min_max} and \code{y_min_max} arguments. + +The function takes a \code{numeric} vector and makes sure that all +values are actually inside the window specified +by the \code{range} argument. +} +\examples{ +# Default behaviour +mpcoords <- create_motherpoints(s_local = 10L) +mpcoordsJ <- jitter_motherpoints(mpcoords) +mcoordsT <- torusify(mpcoordsJ) +# Default behaviour +mpcoords <- create_motherpoints(s_local = 10L) +mpcoordsJ <- jitter_motherpoints(mpcoords) +mcoordsT <- torusify(mpcoordsJ) + +simdat <- mobsim::sim_thomas_community(10L, 100L, mother_points = 1) +simdatJ <- jitter_species(simdat, sd = 1) +simdatJ <- torusify(simdatJ) + +x_min_max <- c(0, 1) +y_min_max <- c(0, 1) +mpcoords <- data.frame(xmother = stats::runif(100L), + ymother = stats::runif(100L)) +mcoordsT <- torusify(mpcoords, x_min_max, y_min_max) + +mpcoords <- stats::runif(10L, min = -1, max = 2) +torusify(mpcoords, range = c(0, 1)) + +} +\author{ +Alban Sagouis +} diff --git a/mobsim.Rproj b/mobsim.Rproj index 4d263d7..07b3123 100644 --- a/mobsim.Rproj +++ b/mobsim.Rproj @@ -1,4 +1,5 @@ Version: 1.0 +ProjectId: 812660be-c7f9-4549-8ca6-c035076de98e RestoreWorkspace: Default SaveWorkspace: Default @@ -17,4 +18,5 @@ AutoAppendNewline: Yes BuildType: Package PackageUseDevtools: Yes PackageInstallArgs: --no-multiarch --with-keep.source +PackageCheckArgs: --as-cran PackageRoxygenize: rd,collate,namespace,vignette diff --git a/tests/testthat.R b/tests/testthat.R index a6e8024..1cd8cac 100644 --- a/tests/testthat.R +++ b/tests/testthat.R @@ -1,6 +1,4 @@ library(testthat) -library(mobsim) test_check("mobsim") # test_package("mobsim", reporter="summary") -# test_dir("./tests/testthat", reporter="summary") diff --git a/tests/testthat/Rplots.pdf b/tests/testthat/Rplots.pdf index 865fdf7..bb64008 100644 Binary files a/tests/testthat/Rplots.pdf and b/tests/testthat/Rplots.pdf differ diff --git a/tests/testthat/_snaps/create_motherpoints.md b/tests/testthat/_snaps/create_motherpoints.md new file mode 100644 index 0000000..821d71d --- /dev/null +++ b/tests/testthat/_snaps/create_motherpoints.md @@ -0,0 +1,1873 @@ +# snapshot test with clustering + + Code + create_motherpoints(s_local = 100L, seed = 42L) + Output + $n_mother_points + [1] 1 1 1 1 2 4 2 2 1 4 3 4 3 4 1 1 2 4 2 2 3 3 1 1 3 4 1 3 1 1 4 2 4 4 3 2 1 + [38] 2 4 2 3 3 2 2 4 4 4 2 2 1 4 1 4 2 4 2 3 4 3 1 1 2 2 2 2 2 4 3 2 1 2 3 2 2 + [75] 2 4 1 1 1 3 4 1 2 1 1 4 4 1 3 3 1 4 1 4 4 2 1 4 2 2 + + $xmother + $xmother[[1]] + [1] 0.6262453 + + $xmother[[2]] + [1] 0.2171577 + + $xmother[[3]] + [1] 0.2165673 + + $xmother[[4]] + [1] 0.388945 + + $xmother[[5]] + [1] 0.9424557 0.9626080 + + $xmother[[6]] + [1] 0.739855279 0.733245906 0.535761290 0.002272966 + + $xmother[[7]] + [1] 0.6089375 0.8368016 + + $xmother[[8]] + [1] 0.7515226 0.4527316 + + $xmother[[9]] + [1] 0.53579 + + $xmother[[10]] + [1] 0.537376695 0.001380844 0.355665954 0.612133090 + + $xmother[[11]] + [1] 0.8289421 0.3567220 0.4106351 + + $xmother[[12]] + [1] 0.5734759 0.5896783 0.7196573 0.3949730 + + $xmother[[13]] + [1] 0.9192039 0.9625703 0.2335235 + + $xmother[[14]] + [1] 0.7244976 0.9036345 0.6034741 0.6315073 + + $xmother[[15]] + [1] 0.9373858 + + $xmother[[16]] + [1] 0.8504828 + + $xmother[[17]] + [1] 0.5798209 0.8214039 + + $xmother[[18]] + [1] 0.1137186 0.7645078 0.6236135 0.1484466 + + $xmother[[19]] + [1] 0.08026447 0.46406955 + + $xmother[[20]] + [1] 0.7793682 0.7335280 + + $xmother[[21]] + [1] 0.8172304 0.1701625 0.9447203 + + $xmother[[22]] + [1] 0.2936238 0.1490721 0.7193786 + + $xmother[[23]] + [1] 0.324086 + + $xmother[[24]] + [1] 0.7788095 + + $xmother[[25]] + [1] 0.3944410 0.6785929 0.7758250 + + $xmother[[26]] + [1] 0.18786904 0.02908582 0.13571380 0.68016418 + + $xmother[[27]] + [1] 0.934823 + + $xmother[[28]] + [1] 0.5504941 0.6017662 0.1969945 + + $xmother[[29]] + [1] 0.5352366 + + $xmother[[30]] + [1] 0.1795557 + + $xmother[[31]] + [1] 0.4518865 0.3170534 0.1161747 0.1861022 + + $xmother[[32]] + [1] 0.7297301 0.4118721 + + $xmother[[33]] + [1] 0.4140497 0.4803101 0.4274945 0.1364904 + + $xmother[[34]] + [1] 0.8246794 0.5923042 0.7943970 0.7690324 + + $xmother[[35]] + [1] 0.9180564 0.8626298 0.3169752 + + $xmother[[36]] + [1] 0.2592606 0.7422665 + + $xmother[[37]] + [1] 0.7473611 + + $xmother[[38]] + [1] 0.9179040 0.7931912 + + $xmother[[39]] + [1] 0.1333296 0.2877498 0.1946761 0.7841094 + + $xmother[[40]] + [1] 0.1288722 0.1290893 + + $xmother[[41]] + [1] 0.07225311 0.05312948 0.53187444 + + $xmother[[42]] + [1] 0.1123082 0.7431877 0.7313155 + + $xmother[[43]] + [1] 0.8851177 0.5171111 + + $xmother[[44]] + [1] 0.8519310 0.4427963 + + $xmother[[45]] + [1] 0.1578801 0.4423246 0.9677337 0.4845879 + + $xmother[[46]] + [1] 0.2524584 0.2596900 0.5420159 0.6498758 + + $xmother[[47]] + [1] 0.33641913 0.06094975 0.45131085 0.83875503 + + $xmother[[48]] + [1] 0.5746373 0.3533504 + + $xmother[[49]] + [1] 0.5474261 0.8927186 + + $xmother[[50]] + [1] 0.4899906 + + $xmother[[51]] + [1] 0.1716321 0.5430310 0.9614677 0.3136838 + + $xmother[[52]] + [1] 0.8205145 + + $xmother[[53]] + [1] 0.30705440 0.18545358 0.04834678 0.24567415 + + $xmother[[54]] + [1] 0.3511069 0.1590224 + + $xmother[[55]] + [1] 0.30409800 0.01754832 0.99655268 0.80439331 + + $xmother[[56]] + [1] 0.0865806 0.8699333 + + $xmother[[57]] + [1] 0.55458586 0.42137842 0.06763682 + + $xmother[[58]] + [1] 0.56143796 0.07072189 0.21139194 0.54962041 + + $xmother[[59]] + [1] 0.4819814 0.1594699 0.1495790 + + $xmother[[60]] + [1] 0.4992729 + + $xmother[[61]] + [1] 0.9405649 + + $xmother[[62]] + [1] 0.3342313 0.1884343 + + $xmother[[63]] + [1] 0.2697162 0.5307441 + + $xmother[[64]] + [1] 0.02145023 0.79876031 + + $xmother[[65]] + [1] 0.1103351 0.5397983 + + $xmother[[66]] + [1] 0.5712339 0.6189515 + + $xmother[[67]] + [1] 0.7148537 0.1233006 0.3110496 0.9457392 + + $xmother[[68]] + [1] 0.5000251 0.1352305 0.8692578 + + $xmother[[69]] + [1] 0.2050496 0.9250459 + + $xmother[[70]] + [1] 0.8867536 + + $xmother[[71]] + [1] 0.1362958 0.7853494 + + $xmother[[72]] + [1] 0.4533034 0.1357424 0.8852210 + + $xmother[[73]] + [1] 0.3367135 0.3192741 + + $xmother[[74]] + [1] 0.4037828 0.4790773 + + $xmother[[75]] + [1] 0.3679018 0.4656906 + + $xmother[[76]] + [1] 0.04989215 0.18735671 0.98265941 0.32827407 + + $xmother[[77]] + [1] 0.1709964 + + $xmother[[78]] + [1] 0.4882549 + + $xmother[[79]] + [1] 0.01868741 + + $xmother[[80]] + [1] 0.33948508 0.02966338 0.86722866 + + $xmother[[81]] + [1] 0.7317076 0.3152608 0.3864540 0.3324460 + + $xmother[[82]] + [1] 0.08977797 + + $xmother[[83]] + [1] 0.7570556 0.6029685 + + $xmother[[84]] + [1] 0.1454 + + $xmother[[85]] + [1] 0.03251748 + + $xmother[[86]] + [1] 0.48376814 0.44456953 0.06038559 0.32750602 + + $xmother[[87]] + [1] 0.8784290 0.9306049 0.3921785 0.1588468 + + $xmother[[88]] + [1] 0.3199476 + + $xmother[[89]] + [1] 0.3069656 0.1078113 0.9793343 + + $xmother[[90]] + [1] 0.49690343 0.09307467 0.21177366 + + $xmother[[91]] + [1] 0.9305007 + + $xmother[[92]] + [1] 0.2968464 0.6532182 0.9010705 0.9907958 + + $xmother[[93]] + [1] 0.4303332 + + $xmother[[94]] + [1] 0.3937769 0.1419089 0.2798067 0.5648222 + + $xmother[[95]] + [1] 0.9351395 0.3584001 0.8420072 0.7224092 + + $xmother[[96]] + [1] 0.7507360 0.9239885 + + $xmother[[97]] + [1] 0.002378107 + + $xmother[[98]] + [1] 0.1604299 0.3992730 0.6753196 0.4803720 + + $xmother[[99]] + [1] 0.5338288 0.3169502 + + $xmother[[100]] + [1] 0.8147576 0.2922195 + + + $ymother + $ymother[[1]] + [1] 0.4091321 + + $ymother[[2]] + [1] 0.09091831 + + $ymother[[3]] + [1] 0.7985966 + + $ymother[[4]] + [1] 0.3597852 + + $ymother[[5]] + [1] 0.04048758 0.04108634 + + $ymother[[6]] + [1] 0.9544342 0.3733412 0.8064197 0.9100590 + + $ymother[[7]] + [1] 0.4400762 0.5763365 + + $ymother[[8]] + [1] 0.0736678 0.1646274 + + $ymother[[9]] + [1] 0.7398908 + + $ymother[[10]] + [1] 0.4757110 0.6855210 0.9515149 0.4974645 + + $ymother[[11]] + [1] 0.4705006 0.5601920 0.6525101 + + $ymother[[12]] + [1] 0.2795735 0.9799076 0.6438641 0.5825784 + + $ymother[[13]] + [1] 0.6158710 0.9251403 0.3900229 + + $ymother[[14]] + [1] 0.28791969 0.09073596 0.32203390 0.75827011 + + $ymother[[15]] + [1] 0.1044129 + + $ymother[[16]] + [1] 0.7102779 + + $ymother[[17]] + [1] 0.9664774 0.2014912 + + $ymother[[18]] + [1] 0.10848865 0.05540218 0.82972352 0.58119776 + + $ymother[[19]] + [1] 0.4700924 0.3650141 + + $ymother[[20]] + [1] 0.2801246 0.5997159 + + $ymother[[21]] + [1] 0.81856961 0.09783228 0.96368953 + + $ymother[[22]] + [1] 0.16873644 0.08608341 0.86121070 + + $ymother[[23]] + [1] 0.5247906 + + $ymother[[24]] + [1] 0.6568109 + + $ymother[[25]] + [1] 0.2295194 0.7212260 0.4907504 + + $ymother[[26]] + [1] 0.9652556 0.9069425 0.5512505 0.0755991 + + $ymother[[27]] + [1] 0.02270001 + + $ymother[[28]] + [1] 0.5132395 0.6307262 0.4187716 + + $ymother[[29]] + [1] 0.8792659 + + $ymother[[30]] + [1] 0.1079871 + + $ymother[[31]] + [1] 0.98027870 0.26496663 0.08427752 0.38590718 + + $ymother[[32]] + [1] 0.1248958 0.5815542 + + $ymother[[33]] + [1] 0.2401496 0.7218879 0.1459287 0.1528388 + + $ymother[[34]] + [1] 0.25922267 0.77788626 0.42646630 0.06004834 + + $ymother[[35]] + [1] 0.1148325 0.4827569 0.9791736 + + $ymother[[36]] + [1] 0.8115168 0.5429128 + + $ymother[[37]] + [1] 0.07236709 + + $ymother[[38]] + [1] 0.4664852 0.3399056 + + $ymother[[39]] + [1] 0.6899186 0.5141574 0.5149230 0.5455144 + + $ymother[[40]] + [1] 0.44745733 0.08388484 + + $ymother[[41]] + [1] 0.93013369 0.01644819 0.41409240 + + $ymother[[42]] + [1] 0.22697609 0.09964059 0.48292388 + + $ymother[[43]] + [1] 0.6501287 0.9213298 + + $ymother[[44]] + [1] 0.3626018 0.8551350 + + $ymother[[45]] + [1] 0.3009062 0.4656624 0.1427307 0.8077190 + + $ymother[[46]] + [1] 0.66580763 0.06194098 0.43092557 0.39685508 + + $ymother[[47]] + [1] 0.6969568 0.6593197 0.4073507 0.3069202 + + $ymother[[48]] + [1] 0.2551073 0.6725682 + + $ymother[[49]] + [1] 0.8943934 0.8457362 + + $ymother[[50]] + [1] 0.3929019 + + $ymother[[51]] + [1] 0.07905054 0.82842306 0.07289182 0.11476268 + + $ymother[[52]] + [1] 0.6399843 + + $ymother[[53]] + [1] 0.3205662 0.1887495 0.3938296 0.8620260 + + $ymother[[54]] + [1] 0.347911407 0.001433898 + + $ymother[[55]] + [1] 0.9112845 0.9517234 0.4909190 0.4636517 + + $ymother[[56]] + [1] 0.596472 0.906051 + + $ymother[[57]] + [1] 0.1730012 0.7858811 0.2329344 + + $ymother[[58]] + [1] 0.5770482 0.8408770 0.1322038 0.8958912 + + $ymother[[59]] + [1] 0.4501373 0.8941425 0.2485452 + + $ymother[[60]] + [1] 0.08369529 + + $ymother[[61]] + [1] 0.04864107 + + $ymother[[62]] + [1] 0.9798159 0.4841677 + + $ymother[[63]] + [1] 0.8453930 0.4162936 + + $ymother[[64]] + [1] 0.4893425 0.1832878 + + $ymother[[65]] + [1] 0.7591615 0.3051433 + + $ymother[[66]] + [1] 0.16567825 0.03280914 + + $ymother[[67]] + [1] 0.1365052 0.1771364 0.5195605 0.8111208 + + $ymother[[68]] + [1] 0.1153620 0.8934218 0.5753529 + + $ymother[[69]] + [1] 0.1465724 0.9028058 + + $ymother[[70]] + [1] 0.2530025 + + $ymother[[71]] + [1] 0.1505976 0.7685472 + + $ymother[[72]] + [1] 0.2301233 0.3053993 0.5185696 + + $ymother[[73]] + [1] 0.3345997 0.1544350 + + $ymother[[74]] + [1] 0.2663696 0.3507546 + + $ymother[[75]] + [1] 0.5784584 0.8086018 + + $ymother[[76]] + [1] 0.9332703 0.8338633 0.1270028 0.6494540 + + $ymother[[77]] + [1] 0.6903517 + + $ymother[[78]] + [1] 0.03204482 + + $ymother[[79]] + [1] 0.9204891 + + $ymother[[80]] + [1] 0.4784689 0.2665206 0.8565107 + + $ymother[[81]] + [1] 0.2291465 0.7919469 0.6467749 0.4243347 + + $ymother[[82]] + [1] 0.09506827 + + $ymother[[83]] + [1] 0.003467704 0.531133669 + + $ymother[[84]] + [1] 0.5243071 + + $ymother[[85]] + [1] 0.2131856 + + $ymother[[86]] + [1] 0.7169321 0.9613436 0.5182666 0.1745280 + + $ymother[[87]] + [1] 0.5625401 0.7592582 0.6669713 0.2248729 + + $ymother[[88]] + [1] 0.3458498 + + $ymother[[89]] + [1] 0.3198318 0.9048984 0.1991984 + + $ymother[[90]] + [1] 0.6809630 0.1375178 0.1069947 + + $ymother[[91]] + [1] 0.0928594 + + $ymother[[92]] + [1] 0.9164490 0.2770604 0.8857939 0.7728646 + + $ymother[[93]] + [1] 0.7950512 + + $ymother[[94]] + [1] 0.20567359 0.04819332 0.03881593 0.28457413 + + $ymother[[95]] + [1] 0.3488098 0.7374533 0.2516636 0.5174370 + + $ymother[[96]] + [1] 0.7594447 0.6360845 + + $ymother[[97]] + [1] 0.2039407 + + $ymother[[98]] + [1] 0.9930452821 0.0004050434 0.2065700251 0.6340280906 + + $ymother[[99]] + [1] 0.01729183 0.02673547 + + $ymother[[100]] + [1] 0.6078406 0.5705414 + + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "mother_map" "list" + +# snapshot test with clustering - no range + + Code + create_motherpoints(s_local = 100L, n_motherpoints_range = 1L, seed = 42L) + Output + $n_mother_points + [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 + [38] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 + [75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 + + $xmother + $xmother[[1]] + [1] 0.6262453 + + $xmother[[2]] + [1] 0.2171577 + + $xmother[[3]] + [1] 0.2165673 + + $xmother[[4]] + [1] 0.388945 + + $xmother[[5]] + [1] 0.9424557 + + $xmother[[6]] + [1] 0.962608 + + $xmother[[7]] + [1] 0.7398553 + + $xmother[[8]] + [1] 0.7332459 + + $xmother[[9]] + [1] 0.5357613 + + $xmother[[10]] + [1] 0.002272966 + + $xmother[[11]] + [1] 0.6089375 + + $xmother[[12]] + [1] 0.8368016 + + $xmother[[13]] + [1] 0.7515226 + + $xmother[[14]] + [1] 0.4527316 + + $xmother[[15]] + [1] 0.53579 + + $xmother[[16]] + [1] 0.5373767 + + $xmother[[17]] + [1] 0.001380844 + + $xmother[[18]] + [1] 0.355666 + + $xmother[[19]] + [1] 0.6121331 + + $xmother[[20]] + [1] 0.8289421 + + $xmother[[21]] + [1] 0.356722 + + $xmother[[22]] + [1] 0.4106351 + + $xmother[[23]] + [1] 0.5734759 + + $xmother[[24]] + [1] 0.5896783 + + $xmother[[25]] + [1] 0.7196573 + + $xmother[[26]] + [1] 0.394973 + + $xmother[[27]] + [1] 0.9192039 + + $xmother[[28]] + [1] 0.9625703 + + $xmother[[29]] + [1] 0.2335235 + + $xmother[[30]] + [1] 0.7244976 + + $xmother[[31]] + [1] 0.9036345 + + $xmother[[32]] + [1] 0.6034741 + + $xmother[[33]] + [1] 0.6315073 + + $xmother[[34]] + [1] 0.9373858 + + $xmother[[35]] + [1] 0.8504828 + + $xmother[[36]] + [1] 0.5798209 + + $xmother[[37]] + [1] 0.8214039 + + $xmother[[38]] + [1] 0.1137186 + + $xmother[[39]] + [1] 0.7645078 + + $xmother[[40]] + [1] 0.6236135 + + $xmother[[41]] + [1] 0.1484466 + + $xmother[[42]] + [1] 0.08026447 + + $xmother[[43]] + [1] 0.4640696 + + $xmother[[44]] + [1] 0.7793682 + + $xmother[[45]] + [1] 0.733528 + + $xmother[[46]] + [1] 0.8172304 + + $xmother[[47]] + [1] 0.1701625 + + $xmother[[48]] + [1] 0.9447203 + + $xmother[[49]] + [1] 0.2936238 + + $xmother[[50]] + [1] 0.1490721 + + $xmother[[51]] + [1] 0.7193786 + + $xmother[[52]] + [1] 0.324086 + + $xmother[[53]] + [1] 0.7788095 + + $xmother[[54]] + [1] 0.394441 + + $xmother[[55]] + [1] 0.6785929 + + $xmother[[56]] + [1] 0.775825 + + $xmother[[57]] + [1] 0.187869 + + $xmother[[58]] + [1] 0.02908582 + + $xmother[[59]] + [1] 0.1357138 + + $xmother[[60]] + [1] 0.6801642 + + $xmother[[61]] + [1] 0.934823 + + $xmother[[62]] + [1] 0.5504941 + + $xmother[[63]] + [1] 0.6017662 + + $xmother[[64]] + [1] 0.1969945 + + $xmother[[65]] + [1] 0.5352366 + + $xmother[[66]] + [1] 0.1795557 + + $xmother[[67]] + [1] 0.4518865 + + $xmother[[68]] + [1] 0.3170534 + + $xmother[[69]] + [1] 0.1161747 + + $xmother[[70]] + [1] 0.1861022 + + $xmother[[71]] + [1] 0.7297301 + + $xmother[[72]] + [1] 0.4118721 + + $xmother[[73]] + [1] 0.4140497 + + $xmother[[74]] + [1] 0.4803101 + + $xmother[[75]] + [1] 0.4274945 + + $xmother[[76]] + [1] 0.1364904 + + $xmother[[77]] + [1] 0.8246794 + + $xmother[[78]] + [1] 0.5923042 + + $xmother[[79]] + [1] 0.794397 + + $xmother[[80]] + [1] 0.7690324 + + $xmother[[81]] + [1] 0.9180564 + + $xmother[[82]] + [1] 0.8626298 + + $xmother[[83]] + [1] 0.3169752 + + $xmother[[84]] + [1] 0.2592606 + + $xmother[[85]] + [1] 0.7422665 + + $xmother[[86]] + [1] 0.7473611 + + $xmother[[87]] + [1] 0.917904 + + $xmother[[88]] + [1] 0.7931912 + + $xmother[[89]] + [1] 0.1333296 + + $xmother[[90]] + [1] 0.2877498 + + $xmother[[91]] + [1] 0.1946761 + + $xmother[[92]] + [1] 0.7841094 + + $xmother[[93]] + [1] 0.1288722 + + $xmother[[94]] + [1] 0.1290893 + + $xmother[[95]] + [1] 0.07225311 + + $xmother[[96]] + [1] 0.05312948 + + $xmother[[97]] + [1] 0.5318744 + + $xmother[[98]] + [1] 0.1123082 + + $xmother[[99]] + [1] 0.7431877 + + $xmother[[100]] + [1] 0.7313155 + + + $ymother + $ymother[[1]] + [1] 0.8851177 + + $ymother[[2]] + [1] 0.5171111 + + $ymother[[3]] + [1] 0.851931 + + $ymother[[4]] + [1] 0.4427963 + + $ymother[[5]] + [1] 0.1578801 + + $ymother[[6]] + [1] 0.4423246 + + $ymother[[7]] + [1] 0.9677337 + + $ymother[[8]] + [1] 0.4845879 + + $ymother[[9]] + [1] 0.2524584 + + $ymother[[10]] + [1] 0.25969 + + $ymother[[11]] + [1] 0.5420159 + + $ymother[[12]] + [1] 0.6498758 + + $ymother[[13]] + [1] 0.3364191 + + $ymother[[14]] + [1] 0.06094975 + + $ymother[[15]] + [1] 0.4513109 + + $ymother[[16]] + [1] 0.838755 + + $ymother[[17]] + [1] 0.5746373 + + $ymother[[18]] + [1] 0.3533504 + + $ymother[[19]] + [1] 0.5474261 + + $ymother[[20]] + [1] 0.8927186 + + $ymother[[21]] + [1] 0.4899906 + + $ymother[[22]] + [1] 0.1716321 + + $ymother[[23]] + [1] 0.543031 + + $ymother[[24]] + [1] 0.9614677 + + $ymother[[25]] + [1] 0.3136838 + + $ymother[[26]] + [1] 0.8205145 + + $ymother[[27]] + [1] 0.3070544 + + $ymother[[28]] + [1] 0.1854536 + + $ymother[[29]] + [1] 0.04834678 + + $ymother[[30]] + [1] 0.2456741 + + $ymother[[31]] + [1] 0.3511069 + + $ymother[[32]] + [1] 0.1590224 + + $ymother[[33]] + [1] 0.304098 + + $ymother[[34]] + [1] 0.01754832 + + $ymother[[35]] + [1] 0.9965527 + + $ymother[[36]] + [1] 0.8043933 + + $ymother[[37]] + [1] 0.0865806 + + $ymother[[38]] + [1] 0.8699333 + + $ymother[[39]] + [1] 0.5545859 + + $ymother[[40]] + [1] 0.4213784 + + $ymother[[41]] + [1] 0.06763682 + + $ymother[[42]] + [1] 0.561438 + + $ymother[[43]] + [1] 0.07072189 + + $ymother[[44]] + [1] 0.2113919 + + $ymother[[45]] + [1] 0.5496204 + + $ymother[[46]] + [1] 0.4819814 + + $ymother[[47]] + [1] 0.1594699 + + $ymother[[48]] + [1] 0.149579 + + $ymother[[49]] + [1] 0.4992729 + + $ymother[[50]] + [1] 0.9405649 + + $ymother[[51]] + [1] 0.3342313 + + $ymother[[52]] + [1] 0.1884343 + + $ymother[[53]] + [1] 0.2697162 + + $ymother[[54]] + [1] 0.5307441 + + $ymother[[55]] + [1] 0.02145023 + + $ymother[[56]] + [1] 0.7987603 + + $ymother[[57]] + [1] 0.1103351 + + $ymother[[58]] + [1] 0.5397983 + + $ymother[[59]] + [1] 0.5712339 + + $ymother[[60]] + [1] 0.6189515 + + $ymother[[61]] + [1] 0.7148537 + + $ymother[[62]] + [1] 0.1233006 + + $ymother[[63]] + [1] 0.3110496 + + $ymother[[64]] + [1] 0.9457392 + + $ymother[[65]] + [1] 0.5000251 + + $ymother[[66]] + [1] 0.1352305 + + $ymother[[67]] + [1] 0.8692578 + + $ymother[[68]] + [1] 0.2050496 + + $ymother[[69]] + [1] 0.9250459 + + $ymother[[70]] + [1] 0.8867536 + + $ymother[[71]] + [1] 0.1362958 + + $ymother[[72]] + [1] 0.7853494 + + $ymother[[73]] + [1] 0.4533034 + + $ymother[[74]] + [1] 0.1357424 + + $ymother[[75]] + [1] 0.885221 + + $ymother[[76]] + [1] 0.3367135 + + $ymother[[77]] + [1] 0.3192741 + + $ymother[[78]] + [1] 0.4037828 + + $ymother[[79]] + [1] 0.4790773 + + $ymother[[80]] + [1] 0.3679018 + + $ymother[[81]] + [1] 0.4656906 + + $ymother[[82]] + [1] 0.04989215 + + $ymother[[83]] + [1] 0.1873567 + + $ymother[[84]] + [1] 0.9826594 + + $ymother[[85]] + [1] 0.3282741 + + $ymother[[86]] + [1] 0.1709964 + + $ymother[[87]] + [1] 0.4882549 + + $ymother[[88]] + [1] 0.01868741 + + $ymother[[89]] + [1] 0.3394851 + + $ymother[[90]] + [1] 0.02966338 + + $ymother[[91]] + [1] 0.8672287 + + $ymother[[92]] + [1] 0.7317076 + + $ymother[[93]] + [1] 0.3152608 + + $ymother[[94]] + [1] 0.386454 + + $ymother[[95]] + [1] 0.332446 + + $ymother[[96]] + [1] 0.08977797 + + $ymother[[97]] + [1] 0.7570556 + + $ymother[[98]] + [1] 0.6029685 + + $ymother[[99]] + [1] 0.1454 + + $ymother[[100]] + [1] 0.03251748 + + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "mother_map" "list" + +# snapshot test without clustering + + Code + create_motherpoints(s_local = 100L, n_motherpoints_range = 0L:1L, seed = 42L) + Output + $n_mother_points + [1] 0 0 0 0 1 1 1 1 0 1 0 1 0 1 0 0 1 1 1 1 0 0 0 0 0 1 0 0 0 0 1 1 1 1 0 1 0 + [38] 1 1 1 0 0 1 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 0 0 0 1 1 1 1 1 1 0 1 0 1 0 1 1 + [75] 1 1 0 0 0 0 1 0 1 0 0 1 1 0 0 0 0 1 0 1 1 1 0 1 1 1 + + $xmother + $xmother[[1]] + numeric(0) + + $xmother[[2]] + numeric(0) + + $xmother[[3]] + numeric(0) + + $xmother[[4]] + numeric(0) + + $xmother[[5]] + [1] 0.6262453 + + $xmother[[6]] + [1] 0.2171577 + + $xmother[[7]] + [1] 0.2165673 + + $xmother[[8]] + [1] 0.388945 + + $xmother[[9]] + numeric(0) + + $xmother[[10]] + [1] 0.9424557 + + $xmother[[11]] + numeric(0) + + $xmother[[12]] + [1] 0.962608 + + $xmother[[13]] + numeric(0) + + $xmother[[14]] + [1] 0.7398553 + + $xmother[[15]] + numeric(0) + + $xmother[[16]] + numeric(0) + + $xmother[[17]] + [1] 0.7332459 + + $xmother[[18]] + [1] 0.5357613 + + $xmother[[19]] + [1] 0.002272966 + + $xmother[[20]] + [1] 0.6089375 + + $xmother[[21]] + numeric(0) + + $xmother[[22]] + numeric(0) + + $xmother[[23]] + numeric(0) + + $xmother[[24]] + numeric(0) + + $xmother[[25]] + numeric(0) + + $xmother[[26]] + [1] 0.8368016 + + $xmother[[27]] + numeric(0) + + $xmother[[28]] + numeric(0) + + $xmother[[29]] + numeric(0) + + $xmother[[30]] + numeric(0) + + $xmother[[31]] + [1] 0.7515226 + + $xmother[[32]] + [1] 0.4527316 + + $xmother[[33]] + [1] 0.53579 + + $xmother[[34]] + [1] 0.5373767 + + $xmother[[35]] + numeric(0) + + $xmother[[36]] + [1] 0.001380844 + + $xmother[[37]] + numeric(0) + + $xmother[[38]] + [1] 0.355666 + + $xmother[[39]] + [1] 0.6121331 + + $xmother[[40]] + [1] 0.8289421 + + $xmother[[41]] + numeric(0) + + $xmother[[42]] + numeric(0) + + $xmother[[43]] + [1] 0.356722 + + $xmother[[44]] + [1] 0.4106351 + + $xmother[[45]] + [1] 0.5734759 + + $xmother[[46]] + [1] 0.5896783 + + $xmother[[47]] + [1] 0.7196573 + + $xmother[[48]] + [1] 0.394973 + + $xmother[[49]] + [1] 0.9192039 + + $xmother[[50]] + numeric(0) + + $xmother[[51]] + [1] 0.9625703 + + $xmother[[52]] + numeric(0) + + $xmother[[53]] + [1] 0.2335235 + + $xmother[[54]] + [1] 0.7244976 + + $xmother[[55]] + [1] 0.9036345 + + $xmother[[56]] + [1] 0.6034741 + + $xmother[[57]] + numeric(0) + + $xmother[[58]] + [1] 0.6315073 + + $xmother[[59]] + numeric(0) + + $xmother[[60]] + numeric(0) + + $xmother[[61]] + numeric(0) + + $xmother[[62]] + [1] 0.9373858 + + $xmother[[63]] + [1] 0.8504828 + + $xmother[[64]] + [1] 0.5798209 + + $xmother[[65]] + [1] 0.8214039 + + $xmother[[66]] + [1] 0.1137186 + + $xmother[[67]] + [1] 0.7645078 + + $xmother[[68]] + numeric(0) + + $xmother[[69]] + [1] 0.6236135 + + $xmother[[70]] + numeric(0) + + $xmother[[71]] + [1] 0.1484466 + + $xmother[[72]] + numeric(0) + + $xmother[[73]] + [1] 0.08026447 + + $xmother[[74]] + [1] 0.4640696 + + $xmother[[75]] + [1] 0.7793682 + + $xmother[[76]] + [1] 0.733528 + + $xmother[[77]] + numeric(0) + + $xmother[[78]] + numeric(0) + + $xmother[[79]] + numeric(0) + + $xmother[[80]] + numeric(0) + + $xmother[[81]] + [1] 0.8172304 + + $xmother[[82]] + numeric(0) + + $xmother[[83]] + [1] 0.1701625 + + $xmother[[84]] + numeric(0) + + $xmother[[85]] + numeric(0) + + $xmother[[86]] + [1] 0.9447203 + + $xmother[[87]] + [1] 0.2936238 + + $xmother[[88]] + numeric(0) + + $xmother[[89]] + numeric(0) + + $xmother[[90]] + numeric(0) + + $xmother[[91]] + numeric(0) + + $xmother[[92]] + [1] 0.1490721 + + $xmother[[93]] + numeric(0) + + $xmother[[94]] + [1] 0.7193786 + + $xmother[[95]] + [1] 0.324086 + + $xmother[[96]] + [1] 0.7788095 + + $xmother[[97]] + numeric(0) + + $xmother[[98]] + [1] 0.394441 + + $xmother[[99]] + [1] 0.6785929 + + $xmother[[100]] + [1] 0.775825 + + + $ymother + $ymother[[1]] + numeric(0) + + $ymother[[2]] + numeric(0) + + $ymother[[3]] + numeric(0) + + $ymother[[4]] + numeric(0) + + $ymother[[5]] + [1] 0.187869 + + $ymother[[6]] + [1] 0.02908582 + + $ymother[[7]] + [1] 0.1357138 + + $ymother[[8]] + [1] 0.6801642 + + $ymother[[9]] + numeric(0) + + $ymother[[10]] + [1] 0.934823 + + $ymother[[11]] + numeric(0) + + $ymother[[12]] + [1] 0.5504941 + + $ymother[[13]] + numeric(0) + + $ymother[[14]] + [1] 0.6017662 + + $ymother[[15]] + numeric(0) + + $ymother[[16]] + numeric(0) + + $ymother[[17]] + [1] 0.1969945 + + $ymother[[18]] + [1] 0.5352366 + + $ymother[[19]] + [1] 0.1795557 + + $ymother[[20]] + [1] 0.4518865 + + $ymother[[21]] + numeric(0) + + $ymother[[22]] + numeric(0) + + $ymother[[23]] + numeric(0) + + $ymother[[24]] + numeric(0) + + $ymother[[25]] + numeric(0) + + $ymother[[26]] + [1] 0.3170534 + + $ymother[[27]] + numeric(0) + + $ymother[[28]] + numeric(0) + + $ymother[[29]] + numeric(0) + + $ymother[[30]] + numeric(0) + + $ymother[[31]] + [1] 0.1161747 + + $ymother[[32]] + [1] 0.1861022 + + $ymother[[33]] + [1] 0.7297301 + + $ymother[[34]] + [1] 0.4118721 + + $ymother[[35]] + numeric(0) + + $ymother[[36]] + [1] 0.4140497 + + $ymother[[37]] + numeric(0) + + $ymother[[38]] + [1] 0.4803101 + + $ymother[[39]] + [1] 0.4274945 + + $ymother[[40]] + [1] 0.1364904 + + $ymother[[41]] + numeric(0) + + $ymother[[42]] + numeric(0) + + $ymother[[43]] + [1] 0.8246794 + + $ymother[[44]] + [1] 0.5923042 + + $ymother[[45]] + [1] 0.794397 + + $ymother[[46]] + [1] 0.7690324 + + $ymother[[47]] + [1] 0.9180564 + + $ymother[[48]] + [1] 0.8626298 + + $ymother[[49]] + [1] 0.3169752 + + $ymother[[50]] + numeric(0) + + $ymother[[51]] + [1] 0.2592606 + + $ymother[[52]] + numeric(0) + + $ymother[[53]] + [1] 0.7422665 + + $ymother[[54]] + [1] 0.7473611 + + $ymother[[55]] + [1] 0.917904 + + $ymother[[56]] + [1] 0.7931912 + + $ymother[[57]] + numeric(0) + + $ymother[[58]] + [1] 0.1333296 + + $ymother[[59]] + numeric(0) + + $ymother[[60]] + numeric(0) + + $ymother[[61]] + numeric(0) + + $ymother[[62]] + [1] 0.2877498 + + $ymother[[63]] + [1] 0.1946761 + + $ymother[[64]] + [1] 0.7841094 + + $ymother[[65]] + [1] 0.1288722 + + $ymother[[66]] + [1] 0.1290893 + + $ymother[[67]] + [1] 0.07225311 + + $ymother[[68]] + numeric(0) + + $ymother[[69]] + [1] 0.05312948 + + $ymother[[70]] + numeric(0) + + $ymother[[71]] + [1] 0.5318744 + + $ymother[[72]] + numeric(0) + + $ymother[[73]] + [1] 0.1123082 + + $ymother[[74]] + [1] 0.7431877 + + $ymother[[75]] + [1] 0.7313155 + + $ymother[[76]] + [1] 0.8851177 + + $ymother[[77]] + numeric(0) + + $ymother[[78]] + numeric(0) + + $ymother[[79]] + numeric(0) + + $ymother[[80]] + numeric(0) + + $ymother[[81]] + [1] 0.5171111 + + $ymother[[82]] + numeric(0) + + $ymother[[83]] + [1] 0.851931 + + $ymother[[84]] + numeric(0) + + $ymother[[85]] + numeric(0) + + $ymother[[86]] + [1] 0.4427963 + + $ymother[[87]] + [1] 0.1578801 + + $ymother[[88]] + numeric(0) + + $ymother[[89]] + numeric(0) + + $ymother[[90]] + numeric(0) + + $ymother[[91]] + numeric(0) + + $ymother[[92]] + [1] 0.4423246 + + $ymother[[93]] + numeric(0) + + $ymother[[94]] + [1] 0.9677337 + + $ymother[[95]] + [1] 0.4845879 + + $ymother[[96]] + [1] 0.2524584 + + $ymother[[97]] + numeric(0) + + $ymother[[98]] + [1] 0.25969 + + $ymother[[99]] + [1] 0.5420159 + + $ymother[[100]] + [1] 0.6498758 + + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "mother_map" "list" + +# snapshot test plotting method for mother_map class + + + diff --git a/tests/testthat/_snaps/drift_motherpoints.md b/tests/testthat/_snaps/drift_motherpoints.md new file mode 100644 index 0000000..2f0945a --- /dev/null +++ b/tests/testthat/_snaps/drift_motherpoints.md @@ -0,0 +1,2492 @@ +# snapshot test drift_x with clustering + + Code + drift_x_motherpoints(mpcoords, drift = 0.1) + Output + $n_mother_points + [1] 1 1 1 1 2 4 2 2 1 4 3 4 3 4 1 1 2 4 2 2 3 3 1 1 3 4 1 3 1 1 4 2 4 4 3 2 1 + [38] 2 4 2 3 3 2 2 4 4 4 2 2 1 4 1 4 2 4 2 3 4 3 1 1 2 2 2 2 2 4 3 2 1 2 3 2 2 + [75] 2 4 1 1 1 3 4 1 2 1 1 4 4 1 3 3 1 4 1 4 4 2 1 4 2 2 + + $xmother + $xmother[[1]] + [1] 0.7262453 + + $xmother[[2]] + [1] 0.3171577 + + $xmother[[3]] + [1] 0.3165673 + + $xmother[[4]] + [1] 0.488945 + + $xmother[[5]] + [1] 1.042456 1.062608 + + $xmother[[6]] + [1] 0.8398553 0.8332459 0.6357613 0.1022730 + + $xmother[[7]] + [1] 0.7089375 0.9368016 + + $xmother[[8]] + [1] 0.8515226 0.5527316 + + $xmother[[9]] + [1] 0.63579 + + $xmother[[10]] + [1] 0.6373767 0.1013808 0.4556660 0.7121331 + + $xmother[[11]] + [1] 0.9289421 0.4567220 0.5106351 + + $xmother[[12]] + [1] 0.6734759 0.6896783 0.8196573 0.4949730 + + $xmother[[13]] + [1] 1.0192039 1.0625703 0.3335235 + + $xmother[[14]] + [1] 0.8244976 1.0036345 0.7034741 0.7315073 + + $xmother[[15]] + [1] 1.037386 + + $xmother[[16]] + [1] 0.9504828 + + $xmother[[17]] + [1] 0.6798209 0.9214039 + + $xmother[[18]] + [1] 0.2137186 0.8645078 0.7236135 0.2484466 + + $xmother[[19]] + [1] 0.1802645 0.5640696 + + $xmother[[20]] + [1] 0.8793682 0.8335280 + + $xmother[[21]] + [1] 0.9172304 0.2701625 1.0447203 + + $xmother[[22]] + [1] 0.3936238 0.2490721 0.8193786 + + $xmother[[23]] + [1] 0.424086 + + $xmother[[24]] + [1] 0.8788095 + + $xmother[[25]] + [1] 0.4944410 0.7785929 0.8758250 + + $xmother[[26]] + [1] 0.2878690 0.1290858 0.2357138 0.7801642 + + $xmother[[27]] + [1] 1.034823 + + $xmother[[28]] + [1] 0.6504941 0.7017662 0.2969945 + + $xmother[[29]] + [1] 0.6352366 + + $xmother[[30]] + [1] 0.2795557 + + $xmother[[31]] + [1] 0.5518865 0.4170534 0.2161747 0.2861022 + + $xmother[[32]] + [1] 0.8297301 0.5118721 + + $xmother[[33]] + [1] 0.5140497 0.5803101 0.5274945 0.2364904 + + $xmother[[34]] + [1] 0.9246794 0.6923042 0.8943970 0.8690324 + + $xmother[[35]] + [1] 1.0180564 0.9626298 0.4169752 + + $xmother[[36]] + [1] 0.3592606 0.8422665 + + $xmother[[37]] + [1] 0.8473611 + + $xmother[[38]] + [1] 1.0179040 0.8931912 + + $xmother[[39]] + [1] 0.2333296 0.3877498 0.2946761 0.8841094 + + $xmother[[40]] + [1] 0.2288722 0.2290893 + + $xmother[[41]] + [1] 0.1722531 0.1531295 0.6318744 + + $xmother[[42]] + [1] 0.2123082 0.8431877 0.8313155 + + $xmother[[43]] + [1] 0.9851177 0.6171111 + + $xmother[[44]] + [1] 0.9519310 0.5427963 + + $xmother[[45]] + [1] 0.2578801 0.5423246 1.0677337 0.5845879 + + $xmother[[46]] + [1] 0.3524584 0.3596900 0.6420159 0.7498758 + + $xmother[[47]] + [1] 0.4364191 0.1609497 0.5513109 0.9387550 + + $xmother[[48]] + [1] 0.6746373 0.4533504 + + $xmother[[49]] + [1] 0.6474261 0.9927186 + + $xmother[[50]] + [1] 0.5899906 + + $xmother[[51]] + [1] 0.2716321 0.6430310 1.0614677 0.4136838 + + $xmother[[52]] + [1] 0.9205145 + + $xmother[[53]] + [1] 0.4070544 0.2854536 0.1483468 0.3456741 + + $xmother[[54]] + [1] 0.4511069 0.2590224 + + $xmother[[55]] + [1] 0.4040980 0.1175483 1.0965527 0.9043933 + + $xmother[[56]] + [1] 0.1865806 0.9699333 + + $xmother[[57]] + [1] 0.6545859 0.5213784 0.1676368 + + $xmother[[58]] + [1] 0.6614380 0.1707219 0.3113919 0.6496204 + + $xmother[[59]] + [1] 0.5819814 0.2594699 0.2495790 + + $xmother[[60]] + [1] 0.5992729 + + $xmother[[61]] + [1] 1.040565 + + $xmother[[62]] + [1] 0.4342313 0.2884343 + + $xmother[[63]] + [1] 0.3697162 0.6307441 + + $xmother[[64]] + [1] 0.1214502 0.8987603 + + $xmother[[65]] + [1] 0.2103351 0.6397983 + + $xmother[[66]] + [1] 0.6712339 0.7189515 + + $xmother[[67]] + [1] 0.8148537 0.2233006 0.4110496 1.0457392 + + $xmother[[68]] + [1] 0.6000251 0.2352305 0.9692578 + + $xmother[[69]] + [1] 0.3050496 1.0250459 + + $xmother[[70]] + [1] 0.9867536 + + $xmother[[71]] + [1] 0.2362958 0.8853494 + + $xmother[[72]] + [1] 0.5533034 0.2357424 0.9852210 + + $xmother[[73]] + [1] 0.4367135 0.4192741 + + $xmother[[74]] + [1] 0.5037828 0.5790773 + + $xmother[[75]] + [1] 0.4679018 0.5656906 + + $xmother[[76]] + [1] 0.1498922 0.2873567 1.0826594 0.4282741 + + $xmother[[77]] + [1] 0.2709964 + + $xmother[[78]] + [1] 0.5882549 + + $xmother[[79]] + [1] 0.1186874 + + $xmother[[80]] + [1] 0.4394851 0.1296634 0.9672287 + + $xmother[[81]] + [1] 0.8317076 0.4152608 0.4864540 0.4324460 + + $xmother[[82]] + [1] 0.189778 + + $xmother[[83]] + [1] 0.8570556 0.7029685 + + $xmother[[84]] + [1] 0.2454 + + $xmother[[85]] + [1] 0.1325175 + + $xmother[[86]] + [1] 0.5837681 0.5445695 0.1603856 0.4275060 + + $xmother[[87]] + [1] 0.9784290 1.0306049 0.4921785 0.2588468 + + $xmother[[88]] + [1] 0.4199476 + + $xmother[[89]] + [1] 0.4069656 0.2078113 1.0793343 + + $xmother[[90]] + [1] 0.5969034 0.1930747 0.3117737 + + $xmother[[91]] + [1] 1.030501 + + $xmother[[92]] + [1] 0.3968464 0.7532182 1.0010705 1.0907958 + + $xmother[[93]] + [1] 0.5303332 + + $xmother[[94]] + [1] 0.4937769 0.2419089 0.3798067 0.6648222 + + $xmother[[95]] + [1] 1.0351395 0.4584001 0.9420072 0.8224092 + + $xmother[[96]] + [1] 0.850736 1.023988 + + $xmother[[97]] + [1] 0.1023781 + + $xmother[[98]] + [1] 0.2604299 0.4992730 0.7753196 0.5803720 + + $xmother[[99]] + [1] 0.6338288 0.4169502 + + $xmother[[100]] + [1] 0.9147576 0.3922195 + + + $ymother + $ymother[[1]] + [1] 0.4091321 + + $ymother[[2]] + [1] 0.09091831 + + $ymother[[3]] + [1] 0.7985966 + + $ymother[[4]] + [1] 0.3597852 + + $ymother[[5]] + [1] 0.04048758 0.04108634 + + $ymother[[6]] + [1] 0.9544342 0.3733412 0.8064197 0.9100590 + + $ymother[[7]] + [1] 0.4400762 0.5763365 + + $ymother[[8]] + [1] 0.0736678 0.1646274 + + $ymother[[9]] + [1] 0.7398908 + + $ymother[[10]] + [1] 0.4757110 0.6855210 0.9515149 0.4974645 + + $ymother[[11]] + [1] 0.4705006 0.5601920 0.6525101 + + $ymother[[12]] + [1] 0.2795735 0.9799076 0.6438641 0.5825784 + + $ymother[[13]] + [1] 0.6158710 0.9251403 0.3900229 + + $ymother[[14]] + [1] 0.28791969 0.09073596 0.32203390 0.75827011 + + $ymother[[15]] + [1] 0.1044129 + + $ymother[[16]] + [1] 0.7102779 + + $ymother[[17]] + [1] 0.9664774 0.2014912 + + $ymother[[18]] + [1] 0.10848865 0.05540218 0.82972352 0.58119776 + + $ymother[[19]] + [1] 0.4700924 0.3650141 + + $ymother[[20]] + [1] 0.2801246 0.5997159 + + $ymother[[21]] + [1] 0.81856961 0.09783228 0.96368953 + + $ymother[[22]] + [1] 0.16873644 0.08608341 0.86121070 + + $ymother[[23]] + [1] 0.5247906 + + $ymother[[24]] + [1] 0.6568109 + + $ymother[[25]] + [1] 0.2295194 0.7212260 0.4907504 + + $ymother[[26]] + [1] 0.9652556 0.9069425 0.5512505 0.0755991 + + $ymother[[27]] + [1] 0.02270001 + + $ymother[[28]] + [1] 0.5132395 0.6307262 0.4187716 + + $ymother[[29]] + [1] 0.8792659 + + $ymother[[30]] + [1] 0.1079871 + + $ymother[[31]] + [1] 0.98027870 0.26496663 0.08427752 0.38590718 + + $ymother[[32]] + [1] 0.1248958 0.5815542 + + $ymother[[33]] + [1] 0.2401496 0.7218879 0.1459287 0.1528388 + + $ymother[[34]] + [1] 0.25922267 0.77788626 0.42646630 0.06004834 + + $ymother[[35]] + [1] 0.1148325 0.4827569 0.9791736 + + $ymother[[36]] + [1] 0.8115168 0.5429128 + + $ymother[[37]] + [1] 0.07236709 + + $ymother[[38]] + [1] 0.4664852 0.3399056 + + $ymother[[39]] + [1] 0.6899186 0.5141574 0.5149230 0.5455144 + + $ymother[[40]] + [1] 0.44745733 0.08388484 + + $ymother[[41]] + [1] 0.93013369 0.01644819 0.41409240 + + $ymother[[42]] + [1] 0.22697609 0.09964059 0.48292388 + + $ymother[[43]] + [1] 0.6501287 0.9213298 + + $ymother[[44]] + [1] 0.3626018 0.8551350 + + $ymother[[45]] + [1] 0.3009062 0.4656624 0.1427307 0.8077190 + + $ymother[[46]] + [1] 0.66580763 0.06194098 0.43092557 0.39685508 + + $ymother[[47]] + [1] 0.6969568 0.6593197 0.4073507 0.3069202 + + $ymother[[48]] + [1] 0.2551073 0.6725682 + + $ymother[[49]] + [1] 0.8943934 0.8457362 + + $ymother[[50]] + [1] 0.3929019 + + $ymother[[51]] + [1] 0.07905054 0.82842306 0.07289182 0.11476268 + + $ymother[[52]] + [1] 0.6399843 + + $ymother[[53]] + [1] 0.3205662 0.1887495 0.3938296 0.8620260 + + $ymother[[54]] + [1] 0.347911407 0.001433898 + + $ymother[[55]] + [1] 0.9112845 0.9517234 0.4909190 0.4636517 + + $ymother[[56]] + [1] 0.596472 0.906051 + + $ymother[[57]] + [1] 0.1730012 0.7858811 0.2329344 + + $ymother[[58]] + [1] 0.5770482 0.8408770 0.1322038 0.8958912 + + $ymother[[59]] + [1] 0.4501373 0.8941425 0.2485452 + + $ymother[[60]] + [1] 0.08369529 + + $ymother[[61]] + [1] 0.04864107 + + $ymother[[62]] + [1] 0.9798159 0.4841677 + + $ymother[[63]] + [1] 0.8453930 0.4162936 + + $ymother[[64]] + [1] 0.4893425 0.1832878 + + $ymother[[65]] + [1] 0.7591615 0.3051433 + + $ymother[[66]] + [1] 0.16567825 0.03280914 + + $ymother[[67]] + [1] 0.1365052 0.1771364 0.5195605 0.8111208 + + $ymother[[68]] + [1] 0.1153620 0.8934218 0.5753529 + + $ymother[[69]] + [1] 0.1465724 0.9028058 + + $ymother[[70]] + [1] 0.2530025 + + $ymother[[71]] + [1] 0.1505976 0.7685472 + + $ymother[[72]] + [1] 0.2301233 0.3053993 0.5185696 + + $ymother[[73]] + [1] 0.3345997 0.1544350 + + $ymother[[74]] + [1] 0.2663696 0.3507546 + + $ymother[[75]] + [1] 0.5784584 0.8086018 + + $ymother[[76]] + [1] 0.9332703 0.8338633 0.1270028 0.6494540 + + $ymother[[77]] + [1] 0.6903517 + + $ymother[[78]] + [1] 0.03204482 + + $ymother[[79]] + [1] 0.9204891 + + $ymother[[80]] + [1] 0.4784689 0.2665206 0.8565107 + + $ymother[[81]] + [1] 0.2291465 0.7919469 0.6467749 0.4243347 + + $ymother[[82]] + [1] 0.09506827 + + $ymother[[83]] + [1] 0.003467704 0.531133669 + + $ymother[[84]] + [1] 0.5243071 + + $ymother[[85]] + [1] 0.2131856 + + $ymother[[86]] + [1] 0.7169321 0.9613436 0.5182666 0.1745280 + + $ymother[[87]] + [1] 0.5625401 0.7592582 0.6669713 0.2248729 + + $ymother[[88]] + [1] 0.3458498 + + $ymother[[89]] + [1] 0.3198318 0.9048984 0.1991984 + + $ymother[[90]] + [1] 0.6809630 0.1375178 0.1069947 + + $ymother[[91]] + [1] 0.0928594 + + $ymother[[92]] + [1] 0.9164490 0.2770604 0.8857939 0.7728646 + + $ymother[[93]] + [1] 0.7950512 + + $ymother[[94]] + [1] 0.20567359 0.04819332 0.03881593 0.28457413 + + $ymother[[95]] + [1] 0.3488098 0.7374533 0.2516636 0.5174370 + + $ymother[[96]] + [1] 0.7594447 0.6360845 + + $ymother[[97]] + [1] 0.2039407 + + $ymother[[98]] + [1] 0.9930452821 0.0004050434 0.2065700251 0.6340280906 + + $ymother[[99]] + [1] 0.01729183 0.02673547 + + $ymother[[100]] + [1] 0.6078406 0.5705414 + + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "mother_map" "list" + +# snapshot test drift_x without clustering + + Code + drift_x_motherpoints(mpcoords, drift = 0.1) + Output + $n_mother_points + [1] 0 0 0 0 1 1 1 1 0 1 0 1 0 1 0 0 1 1 1 1 0 0 0 0 0 1 0 0 0 0 1 1 1 1 0 1 0 + [38] 1 1 1 0 0 1 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 0 0 0 1 1 1 1 1 1 0 1 0 1 0 1 1 + [75] 1 1 0 0 0 0 1 0 1 0 0 1 1 0 0 0 0 1 0 1 1 1 0 1 1 1 + + $xmother + $xmother[[1]] + numeric(0) + + $xmother[[2]] + numeric(0) + + $xmother[[3]] + numeric(0) + + $xmother[[4]] + numeric(0) + + $xmother[[5]] + [1] 0.7262453 + + $xmother[[6]] + [1] 0.3171577 + + $xmother[[7]] + [1] 0.3165673 + + $xmother[[8]] + [1] 0.488945 + + $xmother[[9]] + numeric(0) + + $xmother[[10]] + [1] 1.042456 + + $xmother[[11]] + numeric(0) + + $xmother[[12]] + [1] 1.062608 + + $xmother[[13]] + numeric(0) + + $xmother[[14]] + [1] 0.8398553 + + $xmother[[15]] + numeric(0) + + $xmother[[16]] + numeric(0) + + $xmother[[17]] + [1] 0.8332459 + + $xmother[[18]] + [1] 0.6357613 + + $xmother[[19]] + [1] 0.102273 + + $xmother[[20]] + [1] 0.7089375 + + $xmother[[21]] + numeric(0) + + $xmother[[22]] + numeric(0) + + $xmother[[23]] + numeric(0) + + $xmother[[24]] + numeric(0) + + $xmother[[25]] + numeric(0) + + $xmother[[26]] + [1] 0.9368016 + + $xmother[[27]] + numeric(0) + + $xmother[[28]] + numeric(0) + + $xmother[[29]] + numeric(0) + + $xmother[[30]] + numeric(0) + + $xmother[[31]] + [1] 0.8515226 + + $xmother[[32]] + [1] 0.5527316 + + $xmother[[33]] + [1] 0.63579 + + $xmother[[34]] + [1] 0.6373767 + + $xmother[[35]] + numeric(0) + + $xmother[[36]] + [1] 0.1013808 + + $xmother[[37]] + numeric(0) + + $xmother[[38]] + [1] 0.455666 + + $xmother[[39]] + [1] 0.7121331 + + $xmother[[40]] + [1] 0.9289421 + + $xmother[[41]] + numeric(0) + + $xmother[[42]] + numeric(0) + + $xmother[[43]] + [1] 0.456722 + + $xmother[[44]] + [1] 0.5106351 + + $xmother[[45]] + [1] 0.6734759 + + $xmother[[46]] + [1] 0.6896783 + + $xmother[[47]] + [1] 0.8196573 + + $xmother[[48]] + [1] 0.494973 + + $xmother[[49]] + [1] 1.019204 + + $xmother[[50]] + numeric(0) + + $xmother[[51]] + [1] 1.06257 + + $xmother[[52]] + numeric(0) + + $xmother[[53]] + [1] 0.3335235 + + $xmother[[54]] + [1] 0.8244976 + + $xmother[[55]] + [1] 1.003635 + + $xmother[[56]] + [1] 0.7034741 + + $xmother[[57]] + numeric(0) + + $xmother[[58]] + [1] 0.7315073 + + $xmother[[59]] + numeric(0) + + $xmother[[60]] + numeric(0) + + $xmother[[61]] + numeric(0) + + $xmother[[62]] + [1] 1.037386 + + $xmother[[63]] + [1] 0.9504828 + + $xmother[[64]] + [1] 0.6798209 + + $xmother[[65]] + [1] 0.9214039 + + $xmother[[66]] + [1] 0.2137186 + + $xmother[[67]] + [1] 0.8645078 + + $xmother[[68]] + numeric(0) + + $xmother[[69]] + [1] 0.7236135 + + $xmother[[70]] + numeric(0) + + $xmother[[71]] + [1] 0.2484466 + + $xmother[[72]] + numeric(0) + + $xmother[[73]] + [1] 0.1802645 + + $xmother[[74]] + [1] 0.5640696 + + $xmother[[75]] + [1] 0.8793682 + + $xmother[[76]] + [1] 0.833528 + + $xmother[[77]] + numeric(0) + + $xmother[[78]] + numeric(0) + + $xmother[[79]] + numeric(0) + + $xmother[[80]] + numeric(0) + + $xmother[[81]] + [1] 0.9172304 + + $xmother[[82]] + numeric(0) + + $xmother[[83]] + [1] 0.2701625 + + $xmother[[84]] + numeric(0) + + $xmother[[85]] + numeric(0) + + $xmother[[86]] + [1] 1.04472 + + $xmother[[87]] + [1] 0.3936238 + + $xmother[[88]] + numeric(0) + + $xmother[[89]] + numeric(0) + + $xmother[[90]] + numeric(0) + + $xmother[[91]] + numeric(0) + + $xmother[[92]] + [1] 0.2490721 + + $xmother[[93]] + numeric(0) + + $xmother[[94]] + [1] 0.8193786 + + $xmother[[95]] + [1] 0.424086 + + $xmother[[96]] + [1] 0.8788095 + + $xmother[[97]] + numeric(0) + + $xmother[[98]] + [1] 0.494441 + + $xmother[[99]] + [1] 0.7785929 + + $xmother[[100]] + [1] 0.875825 + + + $ymother + $ymother[[1]] + numeric(0) + + $ymother[[2]] + numeric(0) + + $ymother[[3]] + numeric(0) + + $ymother[[4]] + numeric(0) + + $ymother[[5]] + [1] 0.187869 + + $ymother[[6]] + [1] 0.02908582 + + $ymother[[7]] + [1] 0.1357138 + + $ymother[[8]] + [1] 0.6801642 + + $ymother[[9]] + numeric(0) + + $ymother[[10]] + [1] 0.934823 + + $ymother[[11]] + numeric(0) + + $ymother[[12]] + [1] 0.5504941 + + $ymother[[13]] + numeric(0) + + $ymother[[14]] + [1] 0.6017662 + + $ymother[[15]] + numeric(0) + + $ymother[[16]] + numeric(0) + + $ymother[[17]] + [1] 0.1969945 + + $ymother[[18]] + [1] 0.5352366 + + $ymother[[19]] + [1] 0.1795557 + + $ymother[[20]] + [1] 0.4518865 + + $ymother[[21]] + numeric(0) + + $ymother[[22]] + numeric(0) + + $ymother[[23]] + numeric(0) + + $ymother[[24]] + numeric(0) + + $ymother[[25]] + numeric(0) + + $ymother[[26]] + [1] 0.3170534 + + $ymother[[27]] + numeric(0) + + $ymother[[28]] + numeric(0) + + $ymother[[29]] + numeric(0) + + $ymother[[30]] + numeric(0) + + $ymother[[31]] + [1] 0.1161747 + + $ymother[[32]] + [1] 0.1861022 + + $ymother[[33]] + [1] 0.7297301 + + $ymother[[34]] + [1] 0.4118721 + + $ymother[[35]] + numeric(0) + + $ymother[[36]] + [1] 0.4140497 + + $ymother[[37]] + numeric(0) + + $ymother[[38]] + [1] 0.4803101 + + $ymother[[39]] + [1] 0.4274945 + + $ymother[[40]] + [1] 0.1364904 + + $ymother[[41]] + numeric(0) + + $ymother[[42]] + numeric(0) + + $ymother[[43]] + [1] 0.8246794 + + $ymother[[44]] + [1] 0.5923042 + + $ymother[[45]] + [1] 0.794397 + + $ymother[[46]] + [1] 0.7690324 + + $ymother[[47]] + [1] 0.9180564 + + $ymother[[48]] + [1] 0.8626298 + + $ymother[[49]] + [1] 0.3169752 + + $ymother[[50]] + numeric(0) + + $ymother[[51]] + [1] 0.2592606 + + $ymother[[52]] + numeric(0) + + $ymother[[53]] + [1] 0.7422665 + + $ymother[[54]] + [1] 0.7473611 + + $ymother[[55]] + [1] 0.917904 + + $ymother[[56]] + [1] 0.7931912 + + $ymother[[57]] + numeric(0) + + $ymother[[58]] + [1] 0.1333296 + + $ymother[[59]] + numeric(0) + + $ymother[[60]] + numeric(0) + + $ymother[[61]] + numeric(0) + + $ymother[[62]] + [1] 0.2877498 + + $ymother[[63]] + [1] 0.1946761 + + $ymother[[64]] + [1] 0.7841094 + + $ymother[[65]] + [1] 0.1288722 + + $ymother[[66]] + [1] 0.1290893 + + $ymother[[67]] + [1] 0.07225311 + + $ymother[[68]] + numeric(0) + + $ymother[[69]] + [1] 0.05312948 + + $ymother[[70]] + numeric(0) + + $ymother[[71]] + [1] 0.5318744 + + $ymother[[72]] + numeric(0) + + $ymother[[73]] + [1] 0.1123082 + + $ymother[[74]] + [1] 0.7431877 + + $ymother[[75]] + [1] 0.7313155 + + $ymother[[76]] + [1] 0.8851177 + + $ymother[[77]] + numeric(0) + + $ymother[[78]] + numeric(0) + + $ymother[[79]] + numeric(0) + + $ymother[[80]] + numeric(0) + + $ymother[[81]] + [1] 0.5171111 + + $ymother[[82]] + numeric(0) + + $ymother[[83]] + [1] 0.851931 + + $ymother[[84]] + numeric(0) + + $ymother[[85]] + numeric(0) + + $ymother[[86]] + [1] 0.4427963 + + $ymother[[87]] + [1] 0.1578801 + + $ymother[[88]] + numeric(0) + + $ymother[[89]] + numeric(0) + + $ymother[[90]] + numeric(0) + + $ymother[[91]] + numeric(0) + + $ymother[[92]] + [1] 0.4423246 + + $ymother[[93]] + numeric(0) + + $ymother[[94]] + [1] 0.9677337 + + $ymother[[95]] + [1] 0.4845879 + + $ymother[[96]] + [1] 0.2524584 + + $ymother[[97]] + numeric(0) + + $ymother[[98]] + [1] 0.25969 + + $ymother[[99]] + [1] 0.5420159 + + $ymother[[100]] + [1] 0.6498758 + + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "mother_map" "list" + +# snapshot test drift_y with clustering + + Code + drift_y_motherpoints(mpcoords, drift = 0.1) + Output + $n_mother_points + [1] 1 1 1 1 2 4 2 2 1 4 3 4 3 4 1 1 2 4 2 2 3 3 1 1 3 4 1 3 1 1 4 2 4 4 3 2 1 + [38] 2 4 2 3 3 2 2 4 4 4 2 2 1 4 1 4 2 4 2 3 4 3 1 1 2 2 2 2 2 4 3 2 1 2 3 2 2 + [75] 2 4 1 1 1 3 4 1 2 1 1 4 4 1 3 3 1 4 1 4 4 2 1 4 2 2 + + $xmother + $xmother[[1]] + [1] 0.6262453 + + $xmother[[2]] + [1] 0.2171577 + + $xmother[[3]] + [1] 0.2165673 + + $xmother[[4]] + [1] 0.388945 + + $xmother[[5]] + [1] 0.9424557 0.9626080 + + $xmother[[6]] + [1] 0.739855279 0.733245906 0.535761290 0.002272966 + + $xmother[[7]] + [1] 0.6089375 0.8368016 + + $xmother[[8]] + [1] 0.7515226 0.4527316 + + $xmother[[9]] + [1] 0.53579 + + $xmother[[10]] + [1] 0.537376695 0.001380844 0.355665954 0.612133090 + + $xmother[[11]] + [1] 0.8289421 0.3567220 0.4106351 + + $xmother[[12]] + [1] 0.5734759 0.5896783 0.7196573 0.3949730 + + $xmother[[13]] + [1] 0.9192039 0.9625703 0.2335235 + + $xmother[[14]] + [1] 0.7244976 0.9036345 0.6034741 0.6315073 + + $xmother[[15]] + [1] 0.9373858 + + $xmother[[16]] + [1] 0.8504828 + + $xmother[[17]] + [1] 0.5798209 0.8214039 + + $xmother[[18]] + [1] 0.1137186 0.7645078 0.6236135 0.1484466 + + $xmother[[19]] + [1] 0.08026447 0.46406955 + + $xmother[[20]] + [1] 0.7793682 0.7335280 + + $xmother[[21]] + [1] 0.8172304 0.1701625 0.9447203 + + $xmother[[22]] + [1] 0.2936238 0.1490721 0.7193786 + + $xmother[[23]] + [1] 0.324086 + + $xmother[[24]] + [1] 0.7788095 + + $xmother[[25]] + [1] 0.3944410 0.6785929 0.7758250 + + $xmother[[26]] + [1] 0.18786904 0.02908582 0.13571380 0.68016418 + + $xmother[[27]] + [1] 0.934823 + + $xmother[[28]] + [1] 0.5504941 0.6017662 0.1969945 + + $xmother[[29]] + [1] 0.5352366 + + $xmother[[30]] + [1] 0.1795557 + + $xmother[[31]] + [1] 0.4518865 0.3170534 0.1161747 0.1861022 + + $xmother[[32]] + [1] 0.7297301 0.4118721 + + $xmother[[33]] + [1] 0.4140497 0.4803101 0.4274945 0.1364904 + + $xmother[[34]] + [1] 0.8246794 0.5923042 0.7943970 0.7690324 + + $xmother[[35]] + [1] 0.9180564 0.8626298 0.3169752 + + $xmother[[36]] + [1] 0.2592606 0.7422665 + + $xmother[[37]] + [1] 0.7473611 + + $xmother[[38]] + [1] 0.9179040 0.7931912 + + $xmother[[39]] + [1] 0.1333296 0.2877498 0.1946761 0.7841094 + + $xmother[[40]] + [1] 0.1288722 0.1290893 + + $xmother[[41]] + [1] 0.07225311 0.05312948 0.53187444 + + $xmother[[42]] + [1] 0.1123082 0.7431877 0.7313155 + + $xmother[[43]] + [1] 0.8851177 0.5171111 + + $xmother[[44]] + [1] 0.8519310 0.4427963 + + $xmother[[45]] + [1] 0.1578801 0.4423246 0.9677337 0.4845879 + + $xmother[[46]] + [1] 0.2524584 0.2596900 0.5420159 0.6498758 + + $xmother[[47]] + [1] 0.33641913 0.06094975 0.45131085 0.83875503 + + $xmother[[48]] + [1] 0.5746373 0.3533504 + + $xmother[[49]] + [1] 0.5474261 0.8927186 + + $xmother[[50]] + [1] 0.4899906 + + $xmother[[51]] + [1] 0.1716321 0.5430310 0.9614677 0.3136838 + + $xmother[[52]] + [1] 0.8205145 + + $xmother[[53]] + [1] 0.30705440 0.18545358 0.04834678 0.24567415 + + $xmother[[54]] + [1] 0.3511069 0.1590224 + + $xmother[[55]] + [1] 0.30409800 0.01754832 0.99655268 0.80439331 + + $xmother[[56]] + [1] 0.0865806 0.8699333 + + $xmother[[57]] + [1] 0.55458586 0.42137842 0.06763682 + + $xmother[[58]] + [1] 0.56143796 0.07072189 0.21139194 0.54962041 + + $xmother[[59]] + [1] 0.4819814 0.1594699 0.1495790 + + $xmother[[60]] + [1] 0.4992729 + + $xmother[[61]] + [1] 0.9405649 + + $xmother[[62]] + [1] 0.3342313 0.1884343 + + $xmother[[63]] + [1] 0.2697162 0.5307441 + + $xmother[[64]] + [1] 0.02145023 0.79876031 + + $xmother[[65]] + [1] 0.1103351 0.5397983 + + $xmother[[66]] + [1] 0.5712339 0.6189515 + + $xmother[[67]] + [1] 0.7148537 0.1233006 0.3110496 0.9457392 + + $xmother[[68]] + [1] 0.5000251 0.1352305 0.8692578 + + $xmother[[69]] + [1] 0.2050496 0.9250459 + + $xmother[[70]] + [1] 0.8867536 + + $xmother[[71]] + [1] 0.1362958 0.7853494 + + $xmother[[72]] + [1] 0.4533034 0.1357424 0.8852210 + + $xmother[[73]] + [1] 0.3367135 0.3192741 + + $xmother[[74]] + [1] 0.4037828 0.4790773 + + $xmother[[75]] + [1] 0.3679018 0.4656906 + + $xmother[[76]] + [1] 0.04989215 0.18735671 0.98265941 0.32827407 + + $xmother[[77]] + [1] 0.1709964 + + $xmother[[78]] + [1] 0.4882549 + + $xmother[[79]] + [1] 0.01868741 + + $xmother[[80]] + [1] 0.33948508 0.02966338 0.86722866 + + $xmother[[81]] + [1] 0.7317076 0.3152608 0.3864540 0.3324460 + + $xmother[[82]] + [1] 0.08977797 + + $xmother[[83]] + [1] 0.7570556 0.6029685 + + $xmother[[84]] + [1] 0.1454 + + $xmother[[85]] + [1] 0.03251748 + + $xmother[[86]] + [1] 0.48376814 0.44456953 0.06038559 0.32750602 + + $xmother[[87]] + [1] 0.8784290 0.9306049 0.3921785 0.1588468 + + $xmother[[88]] + [1] 0.3199476 + + $xmother[[89]] + [1] 0.3069656 0.1078113 0.9793343 + + $xmother[[90]] + [1] 0.49690343 0.09307467 0.21177366 + + $xmother[[91]] + [1] 0.9305007 + + $xmother[[92]] + [1] 0.2968464 0.6532182 0.9010705 0.9907958 + + $xmother[[93]] + [1] 0.4303332 + + $xmother[[94]] + [1] 0.3937769 0.1419089 0.2798067 0.5648222 + + $xmother[[95]] + [1] 0.9351395 0.3584001 0.8420072 0.7224092 + + $xmother[[96]] + [1] 0.7507360 0.9239885 + + $xmother[[97]] + [1] 0.002378107 + + $xmother[[98]] + [1] 0.1604299 0.3992730 0.6753196 0.4803720 + + $xmother[[99]] + [1] 0.5338288 0.3169502 + + $xmother[[100]] + [1] 0.8147576 0.2922195 + + + $ymother + $ymother[[1]] + [1] 0.5091321 + + $ymother[[2]] + [1] 0.1909183 + + $ymother[[3]] + [1] 0.8985966 + + $ymother[[4]] + [1] 0.4597852 + + $ymother[[5]] + [1] 0.1404876 0.1410863 + + $ymother[[6]] + [1] 1.0544342 0.4733412 0.9064197 1.0100590 + + $ymother[[7]] + [1] 0.5400762 0.6763365 + + $ymother[[8]] + [1] 0.1736678 0.2646274 + + $ymother[[9]] + [1] 0.8398908 + + $ymother[[10]] + [1] 0.5757110 0.7855210 1.0515149 0.5974645 + + $ymother[[11]] + [1] 0.5705006 0.6601920 0.7525101 + + $ymother[[12]] + [1] 0.3795735 1.0799076 0.7438641 0.6825784 + + $ymother[[13]] + [1] 0.7158710 1.0251403 0.4900229 + + $ymother[[14]] + [1] 0.3879197 0.1907360 0.4220339 0.8582701 + + $ymother[[15]] + [1] 0.2044129 + + $ymother[[16]] + [1] 0.8102779 + + $ymother[[17]] + [1] 1.0664774 0.3014912 + + $ymother[[18]] + [1] 0.2084887 0.1554022 0.9297235 0.6811978 + + $ymother[[19]] + [1] 0.5700924 0.4650141 + + $ymother[[20]] + [1] 0.3801246 0.6997159 + + $ymother[[21]] + [1] 0.9185696 0.1978323 1.0636895 + + $ymother[[22]] + [1] 0.2687364 0.1860834 0.9612107 + + $ymother[[23]] + [1] 0.6247906 + + $ymother[[24]] + [1] 0.7568109 + + $ymother[[25]] + [1] 0.3295194 0.8212260 0.5907504 + + $ymother[[26]] + [1] 1.0652556 1.0069425 0.6512505 0.1755991 + + $ymother[[27]] + [1] 0.1227 + + $ymother[[28]] + [1] 0.6132395 0.7307262 0.5187716 + + $ymother[[29]] + [1] 0.9792659 + + $ymother[[30]] + [1] 0.2079871 + + $ymother[[31]] + [1] 1.0802787 0.3649666 0.1842775 0.4859072 + + $ymother[[32]] + [1] 0.2248958 0.6815542 + + $ymother[[33]] + [1] 0.3401496 0.8218879 0.2459287 0.2528388 + + $ymother[[34]] + [1] 0.3592227 0.8778863 0.5264663 0.1600483 + + $ymother[[35]] + [1] 0.2148325 0.5827569 1.0791736 + + $ymother[[36]] + [1] 0.9115168 0.6429128 + + $ymother[[37]] + [1] 0.1723671 + + $ymother[[38]] + [1] 0.5664852 0.4399056 + + $ymother[[39]] + [1] 0.7899186 0.6141574 0.6149230 0.6455144 + + $ymother[[40]] + [1] 0.5474573 0.1838848 + + $ymother[[41]] + [1] 1.0301337 0.1164482 0.5140924 + + $ymother[[42]] + [1] 0.3269761 0.1996406 0.5829239 + + $ymother[[43]] + [1] 0.7501287 1.0213298 + + $ymother[[44]] + [1] 0.4626018 0.9551350 + + $ymother[[45]] + [1] 0.4009062 0.5656624 0.2427307 0.9077190 + + $ymother[[46]] + [1] 0.7658076 0.1619410 0.5309256 0.4968551 + + $ymother[[47]] + [1] 0.7969568 0.7593197 0.5073507 0.4069202 + + $ymother[[48]] + [1] 0.3551073 0.7725682 + + $ymother[[49]] + [1] 0.9943934 0.9457362 + + $ymother[[50]] + [1] 0.4929019 + + $ymother[[51]] + [1] 0.1790505 0.9284231 0.1728918 0.2147627 + + $ymother[[52]] + [1] 0.7399843 + + $ymother[[53]] + [1] 0.4205662 0.2887495 0.4938296 0.9620260 + + $ymother[[54]] + [1] 0.4479114 0.1014339 + + $ymother[[55]] + [1] 1.0112845 1.0517234 0.5909190 0.5636517 + + $ymother[[56]] + [1] 0.696472 1.006051 + + $ymother[[57]] + [1] 0.2730012 0.8858811 0.3329344 + + $ymother[[58]] + [1] 0.6770482 0.9408770 0.2322038 0.9958912 + + $ymother[[59]] + [1] 0.5501373 0.9941425 0.3485452 + + $ymother[[60]] + [1] 0.1836953 + + $ymother[[61]] + [1] 0.1486411 + + $ymother[[62]] + [1] 1.0798159 0.5841677 + + $ymother[[63]] + [1] 0.9453930 0.5162936 + + $ymother[[64]] + [1] 0.5893425 0.2832878 + + $ymother[[65]] + [1] 0.8591615 0.4051433 + + $ymother[[66]] + [1] 0.2656782 0.1328091 + + $ymother[[67]] + [1] 0.2365052 0.2771364 0.6195605 0.9111208 + + $ymother[[68]] + [1] 0.2153620 0.9934218 0.6753529 + + $ymother[[69]] + [1] 0.2465724 1.0028058 + + $ymother[[70]] + [1] 0.3530025 + + $ymother[[71]] + [1] 0.2505976 0.8685472 + + $ymother[[72]] + [1] 0.3301233 0.4053993 0.6185696 + + $ymother[[73]] + [1] 0.4345997 0.2544350 + + $ymother[[74]] + [1] 0.3663696 0.4507546 + + $ymother[[75]] + [1] 0.6784584 0.9086018 + + $ymother[[76]] + [1] 1.0332703 0.9338633 0.2270028 0.7494540 + + $ymother[[77]] + [1] 0.7903517 + + $ymother[[78]] + [1] 0.1320448 + + $ymother[[79]] + [1] 1.020489 + + $ymother[[80]] + [1] 0.5784689 0.3665206 0.9565107 + + $ymother[[81]] + [1] 0.3291465 0.8919469 0.7467749 0.5243347 + + $ymother[[82]] + [1] 0.1950683 + + $ymother[[83]] + [1] 0.1034677 0.6311337 + + $ymother[[84]] + [1] 0.6243071 + + $ymother[[85]] + [1] 0.3131856 + + $ymother[[86]] + [1] 0.8169321 1.0613436 0.6182666 0.2745280 + + $ymother[[87]] + [1] 0.6625401 0.8592582 0.7669713 0.3248729 + + $ymother[[88]] + [1] 0.4458498 + + $ymother[[89]] + [1] 0.4198318 1.0048984 0.2991984 + + $ymother[[90]] + [1] 0.7809630 0.2375178 0.2069947 + + $ymother[[91]] + [1] 0.1928594 + + $ymother[[92]] + [1] 1.0164490 0.3770604 0.9857939 0.8728646 + + $ymother[[93]] + [1] 0.8950512 + + $ymother[[94]] + [1] 0.3056736 0.1481933 0.1388159 0.3845741 + + $ymother[[95]] + [1] 0.4488098 0.8374533 0.3516636 0.6174370 + + $ymother[[96]] + [1] 0.8594447 0.7360845 + + $ymother[[97]] + [1] 0.3039407 + + $ymother[[98]] + [1] 1.0930453 0.1004050 0.3065700 0.7340281 + + $ymother[[99]] + [1] 0.1172918 0.1267355 + + $ymother[[100]] + [1] 0.7078406 0.6705414 + + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "mother_map" "list" + +# snapshot test drift_y without clustering + + Code + drift_y_motherpoints(mpcoords, drift = 0.1) + Output + $n_mother_points + [1] 0 0 0 0 1 1 1 1 0 1 0 1 0 1 0 0 1 1 1 1 0 0 0 0 0 1 0 0 0 0 1 1 1 1 0 1 0 + [38] 1 1 1 0 0 1 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 0 0 0 1 1 1 1 1 1 0 1 0 1 0 1 1 + [75] 1 1 0 0 0 0 1 0 1 0 0 1 1 0 0 0 0 1 0 1 1 1 0 1 1 1 + + $xmother + $xmother[[1]] + numeric(0) + + $xmother[[2]] + numeric(0) + + $xmother[[3]] + numeric(0) + + $xmother[[4]] + numeric(0) + + $xmother[[5]] + [1] 0.6262453 + + $xmother[[6]] + [1] 0.2171577 + + $xmother[[7]] + [1] 0.2165673 + + $xmother[[8]] + [1] 0.388945 + + $xmother[[9]] + numeric(0) + + $xmother[[10]] + [1] 0.9424557 + + $xmother[[11]] + numeric(0) + + $xmother[[12]] + [1] 0.962608 + + $xmother[[13]] + numeric(0) + + $xmother[[14]] + [1] 0.7398553 + + $xmother[[15]] + numeric(0) + + $xmother[[16]] + numeric(0) + + $xmother[[17]] + [1] 0.7332459 + + $xmother[[18]] + [1] 0.5357613 + + $xmother[[19]] + [1] 0.002272966 + + $xmother[[20]] + [1] 0.6089375 + + $xmother[[21]] + numeric(0) + + $xmother[[22]] + numeric(0) + + $xmother[[23]] + numeric(0) + + $xmother[[24]] + numeric(0) + + $xmother[[25]] + numeric(0) + + $xmother[[26]] + [1] 0.8368016 + + $xmother[[27]] + numeric(0) + + $xmother[[28]] + numeric(0) + + $xmother[[29]] + numeric(0) + + $xmother[[30]] + numeric(0) + + $xmother[[31]] + [1] 0.7515226 + + $xmother[[32]] + [1] 0.4527316 + + $xmother[[33]] + [1] 0.53579 + + $xmother[[34]] + [1] 0.5373767 + + $xmother[[35]] + numeric(0) + + $xmother[[36]] + [1] 0.001380844 + + $xmother[[37]] + numeric(0) + + $xmother[[38]] + [1] 0.355666 + + $xmother[[39]] + [1] 0.6121331 + + $xmother[[40]] + [1] 0.8289421 + + $xmother[[41]] + numeric(0) + + $xmother[[42]] + numeric(0) + + $xmother[[43]] + [1] 0.356722 + + $xmother[[44]] + [1] 0.4106351 + + $xmother[[45]] + [1] 0.5734759 + + $xmother[[46]] + [1] 0.5896783 + + $xmother[[47]] + [1] 0.7196573 + + $xmother[[48]] + [1] 0.394973 + + $xmother[[49]] + [1] 0.9192039 + + $xmother[[50]] + numeric(0) + + $xmother[[51]] + [1] 0.9625703 + + $xmother[[52]] + numeric(0) + + $xmother[[53]] + [1] 0.2335235 + + $xmother[[54]] + [1] 0.7244976 + + $xmother[[55]] + [1] 0.9036345 + + $xmother[[56]] + [1] 0.6034741 + + $xmother[[57]] + numeric(0) + + $xmother[[58]] + [1] 0.6315073 + + $xmother[[59]] + numeric(0) + + $xmother[[60]] + numeric(0) + + $xmother[[61]] + numeric(0) + + $xmother[[62]] + [1] 0.9373858 + + $xmother[[63]] + [1] 0.8504828 + + $xmother[[64]] + [1] 0.5798209 + + $xmother[[65]] + [1] 0.8214039 + + $xmother[[66]] + [1] 0.1137186 + + $xmother[[67]] + [1] 0.7645078 + + $xmother[[68]] + numeric(0) + + $xmother[[69]] + [1] 0.6236135 + + $xmother[[70]] + numeric(0) + + $xmother[[71]] + [1] 0.1484466 + + $xmother[[72]] + numeric(0) + + $xmother[[73]] + [1] 0.08026447 + + $xmother[[74]] + [1] 0.4640696 + + $xmother[[75]] + [1] 0.7793682 + + $xmother[[76]] + [1] 0.733528 + + $xmother[[77]] + numeric(0) + + $xmother[[78]] + numeric(0) + + $xmother[[79]] + numeric(0) + + $xmother[[80]] + numeric(0) + + $xmother[[81]] + [1] 0.8172304 + + $xmother[[82]] + numeric(0) + + $xmother[[83]] + [1] 0.1701625 + + $xmother[[84]] + numeric(0) + + $xmother[[85]] + numeric(0) + + $xmother[[86]] + [1] 0.9447203 + + $xmother[[87]] + [1] 0.2936238 + + $xmother[[88]] + numeric(0) + + $xmother[[89]] + numeric(0) + + $xmother[[90]] + numeric(0) + + $xmother[[91]] + numeric(0) + + $xmother[[92]] + [1] 0.1490721 + + $xmother[[93]] + numeric(0) + + $xmother[[94]] + [1] 0.7193786 + + $xmother[[95]] + [1] 0.324086 + + $xmother[[96]] + [1] 0.7788095 + + $xmother[[97]] + numeric(0) + + $xmother[[98]] + [1] 0.394441 + + $xmother[[99]] + [1] 0.6785929 + + $xmother[[100]] + [1] 0.775825 + + + $ymother + $ymother[[1]] + numeric(0) + + $ymother[[2]] + numeric(0) + + $ymother[[3]] + numeric(0) + + $ymother[[4]] + numeric(0) + + $ymother[[5]] + [1] 0.287869 + + $ymother[[6]] + [1] 0.1290858 + + $ymother[[7]] + [1] 0.2357138 + + $ymother[[8]] + [1] 0.7801642 + + $ymother[[9]] + numeric(0) + + $ymother[[10]] + [1] 1.034823 + + $ymother[[11]] + numeric(0) + + $ymother[[12]] + [1] 0.6504941 + + $ymother[[13]] + numeric(0) + + $ymother[[14]] + [1] 0.7017662 + + $ymother[[15]] + numeric(0) + + $ymother[[16]] + numeric(0) + + $ymother[[17]] + [1] 0.2969945 + + $ymother[[18]] + [1] 0.6352366 + + $ymother[[19]] + [1] 0.2795557 + + $ymother[[20]] + [1] 0.5518865 + + $ymother[[21]] + numeric(0) + + $ymother[[22]] + numeric(0) + + $ymother[[23]] + numeric(0) + + $ymother[[24]] + numeric(0) + + $ymother[[25]] + numeric(0) + + $ymother[[26]] + [1] 0.4170534 + + $ymother[[27]] + numeric(0) + + $ymother[[28]] + numeric(0) + + $ymother[[29]] + numeric(0) + + $ymother[[30]] + numeric(0) + + $ymother[[31]] + [1] 0.2161747 + + $ymother[[32]] + [1] 0.2861022 + + $ymother[[33]] + [1] 0.8297301 + + $ymother[[34]] + [1] 0.5118721 + + $ymother[[35]] + numeric(0) + + $ymother[[36]] + [1] 0.5140497 + + $ymother[[37]] + numeric(0) + + $ymother[[38]] + [1] 0.5803101 + + $ymother[[39]] + [1] 0.5274945 + + $ymother[[40]] + [1] 0.2364904 + + $ymother[[41]] + numeric(0) + + $ymother[[42]] + numeric(0) + + $ymother[[43]] + [1] 0.9246794 + + $ymother[[44]] + [1] 0.6923042 + + $ymother[[45]] + [1] 0.894397 + + $ymother[[46]] + [1] 0.8690324 + + $ymother[[47]] + [1] 1.018056 + + $ymother[[48]] + [1] 0.9626298 + + $ymother[[49]] + [1] 0.4169752 + + $ymother[[50]] + numeric(0) + + $ymother[[51]] + [1] 0.3592606 + + $ymother[[52]] + numeric(0) + + $ymother[[53]] + [1] 0.8422665 + + $ymother[[54]] + [1] 0.8473611 + + $ymother[[55]] + [1] 1.017904 + + $ymother[[56]] + [1] 0.8931912 + + $ymother[[57]] + numeric(0) + + $ymother[[58]] + [1] 0.2333296 + + $ymother[[59]] + numeric(0) + + $ymother[[60]] + numeric(0) + + $ymother[[61]] + numeric(0) + + $ymother[[62]] + [1] 0.3877498 + + $ymother[[63]] + [1] 0.2946761 + + $ymother[[64]] + [1] 0.8841094 + + $ymother[[65]] + [1] 0.2288722 + + $ymother[[66]] + [1] 0.2290893 + + $ymother[[67]] + [1] 0.1722531 + + $ymother[[68]] + numeric(0) + + $ymother[[69]] + [1] 0.1531295 + + $ymother[[70]] + numeric(0) + + $ymother[[71]] + [1] 0.6318744 + + $ymother[[72]] + numeric(0) + + $ymother[[73]] + [1] 0.2123082 + + $ymother[[74]] + [1] 0.8431877 + + $ymother[[75]] + [1] 0.8313155 + + $ymother[[76]] + [1] 0.9851177 + + $ymother[[77]] + numeric(0) + + $ymother[[78]] + numeric(0) + + $ymother[[79]] + numeric(0) + + $ymother[[80]] + numeric(0) + + $ymother[[81]] + [1] 0.6171111 + + $ymother[[82]] + numeric(0) + + $ymother[[83]] + [1] 0.951931 + + $ymother[[84]] + numeric(0) + + $ymother[[85]] + numeric(0) + + $ymother[[86]] + [1] 0.5427963 + + $ymother[[87]] + [1] 0.2578801 + + $ymother[[88]] + numeric(0) + + $ymother[[89]] + numeric(0) + + $ymother[[90]] + numeric(0) + + $ymother[[91]] + numeric(0) + + $ymother[[92]] + [1] 0.5423246 + + $ymother[[93]] + numeric(0) + + $ymother[[94]] + [1] 1.067734 + + $ymother[[95]] + [1] 0.5845879 + + $ymother[[96]] + [1] 0.3524584 + + $ymother[[97]] + numeric(0) + + $ymother[[98]] + [1] 0.35969 + + $ymother[[99]] + [1] 0.6420159 + + $ymother[[100]] + [1] 0.7498758 + + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "mother_map" "list" + diff --git a/tests/testthat/_snaps/drift_species.md b/tests/testthat/_snaps/drift_species.md new file mode 100644 index 0000000..86a0f0d --- /dev/null +++ b/tests/testthat/_snaps/drift_species.md @@ -0,0 +1,54 @@ +# snapshot test with drift + + Code + drift_x_species(simdat, drift = 0.1) + Output + $census + x y species + 1 1.0148060 0.4577418 species_01 + 2 1.0370754 0.7191123 species_02 + 3 0.3861395 0.9346722 species_03 + 4 0.9304476 0.2554288 species_04 + 5 0.7417455 0.4622928 species_05 + 6 0.6190959 0.9400145 species_06 + 7 0.8365883 0.9782264 species_07 + 8 0.2346666 0.1174874 species_08 + 9 0.7569923 0.4749971 species_09 + 10 0.8050648 0.5603327 species_10 + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "community" + +--- + + Code + drift_y_species(simdat, drift = 0.1) + Output + $census + x y species + 1 0.9148060 0.5577418 species_01 + 2 0.9370754 0.8191123 species_02 + 3 0.2861395 1.0346722 species_03 + 4 0.8304476 0.3554288 species_04 + 5 0.6417455 0.5622928 species_05 + 6 0.5190959 1.0400145 species_06 + 7 0.7365883 1.0782264 species_07 + 8 0.1346666 0.2174874 species_08 + 9 0.6569923 0.5749971 species_09 + 10 0.7050648 0.6603327 species_10 + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "community" + diff --git a/tests/testthat/_snaps/jitter_motherpoints.md b/tests/testthat/_snaps/jitter_motherpoints.md new file mode 100644 index 0000000..220601e --- /dev/null +++ b/tests/testthat/_snaps/jitter_motherpoints.md @@ -0,0 +1,1246 @@ +# snapshot test with clustering + + Code + jitter_motherpoints(mpcoords, seed = 42L) + Output + $n_mother_points + [1] 1 1 1 1 2 4 2 2 1 4 3 4 3 4 1 1 2 4 2 2 3 3 1 1 3 4 1 3 1 1 4 2 4 4 3 2 1 + [38] 2 4 2 3 3 2 2 4 4 4 2 2 1 4 1 4 2 4 2 3 4 3 1 1 2 2 2 2 2 4 3 2 1 2 3 2 2 + [75] 2 4 1 1 1 3 4 1 2 1 1 4 4 1 3 3 1 4 1 4 4 2 1 4 2 2 + + $xmother + $xmother[[1]] + [1] 0.6399549 + + $xmother[[2]] + [1] 0.2115107 + + $xmother[[3]] + [1] 0.2201986 + + $xmother[[4]] + [1] 0.3952737 + + $xmother[[5]] + [1] 0.9464984 0.9615468 + + $xmother[[6]] + [1] 0.754970499 0.732299315 0.555945527 0.001645825 + + $xmother[[7]] + [1] 0.6219861 0.8596680 + + $xmother[[8]] + [1] 0.7376340 0.4499437 + + $xmother[[9]] + [1] 0.5344568 + + $xmother[[10]] + [1] 0.543736199 -0.001461686 0.329101400 0.587728421 + + $xmother[[11]] + [1] 0.8421433 0.3536556 0.3928220 + + $xmother[[12]] + [1] 0.5717567 0.6018251 0.7386092 0.3906684 + + $xmother[[13]] + [1] 0.9166312 0.9449387 0.2381245 + + $xmother[[14]] + [1] 0.7180977 0.9081890 0.6105225 0.6418583 + + $xmother[[15]] + [1] 0.9312966 + + $xmother[[16]] + [1] 0.8555323 + + $xmother[[17]] + [1] 0.5626508 0.8135593 + + $xmother[[18]] + [1] 0.1052095 0.7403657 0.6239747 0.1505066 + + $xmother[[19]] + [1] 0.07665389 0.47165118 + + $xmother[[20]] + [1] 0.7721011 0.7198451 + + $xmother[[21]] + [1] 0.8215586 0.1620485 0.9591613 + + $xmother[[22]] + [1] 0.2893094 0.1556285 0.7225978 + + $xmother[[23]] + [1] 0.3162476 + + $xmother[[24]] + [1] 0.7945668 + + $xmother[[25]] + [1] 0.4008700 0.6794905 0.7785906 + + $xmother[[26]] + [1] 0.19466193 0.02998415 0.10578290 0.68301301 + + $xmother[[27]] + [1] 0.9311506 + + $xmother[[28]] + [1] 0.5523464 0.6075845 0.2109919 + + $xmother[[29]] + [1] 0.5279637 + + $xmother[[30]] + [1] 0.1925812 + + $xmother[[31]] + [1] 0.4552450 0.3274384 0.1253820 0.1933109 + + $xmother[[32]] + [1] 0.7192989 0.4109702 + + $xmother[[33]] + [1] 0.4202849 0.4707749 0.4220662 0.1423003 + + $xmother[[34]] + [1] 0.8323612 0.5969419 0.7855392 0.7580346 + + $xmother[[35]] + [1] 0.9331835 0.8652090 0.3178596 + + $xmother[[36]] + [1] 0.2580516 0.7303232 + + $xmother[[37]] + [1] 0.7534811 + + $xmother[[38]] + [1] 0.9157326 0.7913636 + + $xmother[[39]] + [1] 0.1426631 0.2959675 0.2085973 0.7793476 + + $xmother[[40]] + [1] 0.1353756 0.1430004 + + $xmother[[41]] + [1] 0.06114522 0.04452156 0.52055705 + + $xmother[[42]] + [1] 0.0977161 0.7439875 0.7378475 + + $xmother[[43]] + [1] 0.8971273 0.5275586 + + $xmother[[44]] + [1] 0.8418989 0.4612811 + + $xmother[[45]] + [1] 0.1512124 0.4433798 0.9635111 0.4833644 + + $xmother[[46]] + [1] 0.2543404 0.2608816 0.5417650 0.6509566 + + $xmother[[47]] + [1] 0.33156478 0.05590757 0.43469986 0.83493170 + + $xmother[[48]] + [1] 0.5695108 0.3803693 + + $xmother[[49]] + [1] 0.5338049 0.8940912 + + $xmother[[50]] + [1] 0.4750543 + + $xmother[[51]] + [1] 0.1569278 0.5442780 0.9515013 0.3136656 + + $xmother[[52]] + [1] 0.816232 + + $xmother[[53]] + [1] 0.3009177 0.1652068 0.0360993 0.2474693 + + $xmother[[54]] + [1] 0.3567831 0.1540936 + + $xmother[[55]] + [1] 0.30409863 0.02877722 1.01095124 0.79342217 + + $xmother[[56]] + [1] 0.08540741 0.88194825 + + $xmother[[57]] + [1] 0.54988857 0.42085373 0.06677575 + + $xmother[[58]] + [1] 0.55256117 0.06627505 0.21109749 0.54548172 + + $xmother[[59]] + [1] 0.4931153 0.1546599 0.1452473 + + $xmother[[60]] + [1] 0.5062415 + + $xmother[[61]] + [1] 0.9300012 + + $xmother[[62]] + [1] 0.3338243 0.1729189 + + $xmother[[63]] + [1] 0.2813879 0.5280076 + + $xmother[[64]] + [1] 0.01677178 0.78637778 + + $xmother[[65]] + [1] 0.1102575 0.5317955 + + $xmother[[66]] + [1] 0.5658990 0.6318283 + + $xmother[[67]] + [1] 0.7130984 0.1125828 0.3126817 0.9421118 + + $xmother[[68]] + [1] 0.5059252 0.1495547 0.8593309 + + $xmother[[69]] + [1] 0.2095961 0.9258949 + + $xmother[[70]] + [1] 0.8957093 + + $xmother[[71]] + [1] 0.1339980 0.7937156 + + $xmother[[72]] + [1] 0.4358529 0.1526370 0.8938688 + + $xmother[[73]] + [1] 0.3352058 0.3047840 + + $xmother[[74]] + [1] 0.4102129 0.4839092 + + $xmother[[75]] + [1] 0.3678383 0.4672051 + + $xmother[[76]] + [1] 0.04405106 0.19104478 0.98560596 0.32548148 + + $xmother[[77]] + [1] 0.157634 + + $xmother[[78]] + [1] 0.4952624 + + $xmother[[79]] + [1] 0.02422938 + + $xmother[[80]] + [1] 0.33112202 0.01371749 0.86927825 + + $xmother[[81]] + [1] 0.7282567 0.3177869 0.3735140 0.3228543 + + $xmother[[82]] + [1] 0.1006357 + + $xmother[[83]] + [1] 0.7610934 0.6088334 + + $xmother[[84]] + [1] 0.1635523 + + $xmother[[85]] + [1] 0.0338057 + + $xmother[[86]] + [1] 0.46375885 0.44790730 0.07209884 0.34810141 + + $xmother[[87]] + [1] 0.8646604 0.9190963 0.3851202 0.1483062 + + $xmother[[88]] + [1] 0.3134902 + + $xmother[[89]] + [1] 0.30511184 0.09579903 0.99970403 + + $xmother[[90]] + [1] 0.49798118 0.09223359 0.21672985 + + $xmother[[91]] + [1] 0.9308749 + + $xmother[[92]] + [1] 0.2955255 0.6679861 0.8989002 0.9779598 + + $xmother[[93]] + [1] 0.4341899 + + $xmother[[94]] + [1] 0.3902618 0.1366909 0.2691254 0.5691059 + + $xmother[[95]] + [1] 0.9333993 0.3635568 0.8396635 0.7158242 + + $xmother[[96]] + [1] 0.7632384 0.9212708 + + $xmother[[97]] + [1] 0.01185763 + + $xmother[[98]] + [1] 0.1484141 0.3946118 0.6726261 0.4764624 + + $xmother[[99]] + [1] 0.5473159 0.3167225 + + $xmother[[100]] + [1] 0.8171998 0.2827958 + + + $ymother + $ymother[[1]] + [1] 0.4018399 + + $ymother[[2]] + [1] 0.100899 + + $ymother[[3]] + [1] 0.8111815 + + $ymother[[4]] + [1] 0.3722739 + + $ymother[[5]] + [1] 0.02668121 0.06158595 + + $ymother[[6]] + [1] 0.9646030 0.3730741 0.8134557 0.9003452 + + $ymother[[7]] + [1] 0.4291147 0.5768270 + + $ymother[[8]] + [1] 0.06168284 0.16652758 + + $ymother[[9]] + [1] 0.7528678 + + $ymother[[10]] + [1] 0.4653723 0.6781365 0.9519806 0.4872885 + + $ymother[[11]] + [1] 0.4666678 0.5689195 0.6622056 + + $ymother[[12]] + [1] 0.2834120 0.9613920 0.6433241 0.5932262 + + $ymother[[13]] + [1] 0.6240030 0.9232321 0.3630236 + + $ymother[[14]] + [1] 0.28852935 0.09647348 0.32249194 0.75984424 + + $ymother[[15]] + [1] 0.1087286 + + $ymother[[16]] + [1] 0.7063124 + + $ymother[[17]] + [1] 0.9795772 0.2061952 + + $ymother[[18]] + [1] 0.09606195 0.06921793 0.84176810 0.58943850 + + $ymother[[19]] + [1] 0.4534661 0.3593211 + + $ymother[[20]] + [1] 0.2864798 0.6001531 + + $ymother[[21]] + [1] 0.8220497 0.1224282 0.9555057 + + $ymother[[22]] + [1] 0.14760444 0.08882036 0.85433473 + + $ymother[[23]] + [1] 0.529251 + + $ymother[[24]] + [1] 0.648687 + + $ymother[[25]] + [1] 0.2516399 0.7199890 0.4859770 + + $ymother[[26]] + [1] 0.96359298 0.91556811 0.55222393 0.05934293 + + $ymother[[27]] + [1] 0.0226538 + + $ymother[[28]] + [1] 0.5208419 0.6311161 0.4261223 + + $ymother[[29]] + [1] 0.8778012 + + $ymother[[30]] + [1] 0.1074082 + + $ymother[[31]] + [1] 0.98510239 0.27489607 0.07181357 0.38557230 + + $ymother[[32]] + [1] 0.1241862 0.5739650 + + $ymother[[33]] + [1] 0.2298060 0.7155806 0.1517968 0.1486755 + + $ymother[[34]] + [1] 0.25137379 0.77952042 0.41409916 0.07050707 + + $ymother[[35]] + [1] 0.1099866 0.4846482 0.9796836 + + $ymother[[36]] + [1] 0.8115144 0.5610066 + + $ymother[[37]] + [1] 0.06411381 + + $ymother[[38]] + [1] 0.4779400 0.3402214 + + $ymother[[39]] + [1] 0.6815665 0.5134697 0.5223907 0.5412592 + + $ymother[[40]] + [1] 0.43973651 0.08541248 + + $ymother[[41]] + [1] 0.9400197 0.0157136 0.4002221 + + $ymother[[42]] + [1] 0.21390933 0.09195663 0.47765279 + + $ymother[[43]] + [1] 0.6499144 0.9280348 + + $ymother[[44]] + [1] 0.3582556 0.8439962 + + $ymother[[45]] + [1] 0.3069772 0.4684170 0.1543041 0.7908942 + + $ymother[[46]] + [1] 0.6666808 0.0754746 0.4381673 0.3885296 + + $ymother[[47]] + [1] 0.7042820 0.6506004 0.4028167 0.3187956 + + $ymother[[48]] + [1] 0.2522059 0.6808536 + + $ymother[[49]] + [1] 0.8914812 0.8299725 + + $ymother[[50]] + [1] 0.3844137 + + $ymother[[51]] + [1] 0.06816534 0.82358015 0.06952871 0.11322910 + + $ymother[[52]] + [1] 0.6375518 + + $ymother[[53]] + [1] 0.3394882 0.1748895 0.3896814 0.8655168 + + $ymother[[54]] + [1] 0.364195829 0.002319117 + + $ymother[[55]] + [1] 0.9236760 0.9352779 0.5053825 0.4567461 + + $ymother[[56]] + [1] 0.5937077 0.8949568 + + $ymother[[57]] + [1] 0.1743399 0.8037345 0.2571560 + + $ymother[[58]] + [1] 0.5662799 0.8457364 0.1460890 0.8939346 + + $ymother[[59]] + [1] 0.4479556 0.8910948 0.2545235 + + $ymother[[60]] + [1] 0.09766959 + + $ymother[[61]] + [1] 0.05551727 + + $ymother[[62]] + [1] 0.9830177 0.4811490 + + $ymother[[63]] + [1] 0.8503765 0.4107982 + + $ymother[[64]] + [1] 0.486550 0.194253 + + $ymother[[65]] + [1] 0.7635816 0.3075535 + + $ymother[[66]] + [1] 0.16312217 0.04211947 + + $ymother[[67]] + [1] 0.1498543 0.1684437 0.5201153 0.8116115 + + $ymother[[68]] + [1] 0.1095785 0.8834344 0.5753286 + + $ymother[[69]] + [1] 0.1531275 0.9175742 + + $ymother[[70]] + [1] 0.2339109 + + $ymother[[71]] + [1] 0.1435732 0.7654329 + + $ymother[[72]] + [1] 0.2134918 0.2978940 0.5107961 + + $ymother[[73]] + [1] 0.3273740 0.1325466 + + $ymother[[74]] + [1] 0.2685038 0.3444354 + + $ymother[[75]] + [1] 0.5936633 0.8165614 + + $ymother[[76]] + [1] 0.9187350 0.8348473 0.1210651 0.6583368 + + $ymother[[77]] + [1] 0.6908824 + + $ymother[[78]] + [1] 0.02647459 + + $ymother[[79]] + [1] 0.9248731 + + $ymother[[80]] + [1] 0.4799950 0.2648744 0.8767096 + + $ymother[[81]] + [1] 0.2238526 0.7872390 0.6313155 0.4239294 + + $ymother[[82]] + [1] 0.1039718 + + $ymother[[83]] + [1] -0.01724617 0.52863302 + + $ymother[[84]] + [1] 0.5124906 + + $ymother[[85]] + [1] 0.2276049 + + $ymother[[86]] + [1] 0.7305110 0.9646886 0.5325600 0.1658548 + + $ymother[[87]] + [1] 0.5720467 0.7534081 0.6701809 0.2218790 + + $ymother[[88]] + [1] 0.3430643 + + $ymother[[89]] + [1] 0.3252929 0.8918602 0.1966892 + + $ymother[[90]] + [1] 0.6826731 0.1334831 0.1080413 + + $ymother[[91]] + [1] 0.08967059 + + $ymother[[92]] + [1] 0.9326324 0.2842023 0.9154525 0.7649139 + + $ymother[[93]] + [1] 0.8031949 + + $ymother[[94]] + [1] 0.22665390 0.05120312 0.02798518 0.27451090 + + $ymother[[95]] + [1] 0.3484557 0.7505446 0.2591676 0.4960533 + + $ymother[[96]] + [1] 0.7524412 0.6359940 + + $ymother[[97]] + [1] 0.1893594 + + $ymother[[98]] + [1] 0.99999058 -0.02420831 0.20800292 0.63011587 + + $ymother[[99]] + [1] 0.01238018 0.02389900 + + $ymother[[100]] + [1] 0.6109885 0.5745046 + + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "mother_map" "list" + +# snapshot test without clustering + + Code + jitter_motherpoints(mpcoords, seed = 42L) + Output + $n_mother_points + [1] 0 0 0 0 1 1 1 1 0 1 0 1 0 1 0 0 1 1 1 1 0 0 0 0 0 1 0 0 0 0 1 1 1 1 0 1 0 + [38] 1 1 1 0 0 1 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 0 0 0 1 1 1 1 1 1 0 1 0 1 0 1 1 + [75] 1 1 0 0 0 0 1 0 1 0 0 1 1 0 0 0 0 1 0 1 1 1 0 1 1 1 + + $xmother + $xmother[[1]] + numeric(0) + + $xmother[[2]] + numeric(0) + + $xmother[[3]] + numeric(0) + + $xmother[[4]] + numeric(0) + + $xmother[[5]] + [1] 0.6399549 + + $xmother[[6]] + [1] 0.2115107 + + $xmother[[7]] + [1] 0.2201986 + + $xmother[[8]] + [1] 0.3952737 + + $xmother[[9]] + numeric(0) + + $xmother[[10]] + [1] 0.9464984 + + $xmother[[11]] + numeric(0) + + $xmother[[12]] + [1] 0.9615468 + + $xmother[[13]] + numeric(0) + + $xmother[[14]] + [1] 0.7549705 + + $xmother[[15]] + numeric(0) + + $xmother[[16]] + numeric(0) + + $xmother[[17]] + [1] 0.7322993 + + $xmother[[18]] + [1] 0.5559455 + + $xmother[[19]] + [1] 0.001645825 + + $xmother[[20]] + [1] 0.6219861 + + $xmother[[21]] + numeric(0) + + $xmother[[22]] + numeric(0) + + $xmother[[23]] + numeric(0) + + $xmother[[24]] + numeric(0) + + $xmother[[25]] + numeric(0) + + $xmother[[26]] + [1] 0.859668 + + $xmother[[27]] + numeric(0) + + $xmother[[28]] + numeric(0) + + $xmother[[29]] + numeric(0) + + $xmother[[30]] + numeric(0) + + $xmother[[31]] + [1] 0.737634 + + $xmother[[32]] + [1] 0.4499437 + + $xmother[[33]] + [1] 0.5344568 + + $xmother[[34]] + [1] 0.5437362 + + $xmother[[35]] + numeric(0) + + $xmother[[36]] + [1] -0.001461686 + + $xmother[[37]] + numeric(0) + + $xmother[[38]] + [1] 0.3291014 + + $xmother[[39]] + [1] 0.5877284 + + $xmother[[40]] + [1] 0.8421433 + + $xmother[[41]] + numeric(0) + + $xmother[[42]] + numeric(0) + + $xmother[[43]] + [1] 0.3536556 + + $xmother[[44]] + [1] 0.392822 + + $xmother[[45]] + [1] 0.5717567 + + $xmother[[46]] + [1] 0.6018251 + + $xmother[[47]] + [1] 0.7386092 + + $xmother[[48]] + [1] 0.3906684 + + $xmother[[49]] + [1] 0.9166312 + + $xmother[[50]] + numeric(0) + + $xmother[[51]] + [1] 0.9449387 + + $xmother[[52]] + numeric(0) + + $xmother[[53]] + [1] 0.2381245 + + $xmother[[54]] + [1] 0.7180977 + + $xmother[[55]] + [1] 0.908189 + + $xmother[[56]] + [1] 0.6105225 + + $xmother[[57]] + numeric(0) + + $xmother[[58]] + [1] 0.6418583 + + $xmother[[59]] + numeric(0) + + $xmother[[60]] + numeric(0) + + $xmother[[61]] + numeric(0) + + $xmother[[62]] + [1] 0.9312966 + + $xmother[[63]] + [1] 0.8555323 + + $xmother[[64]] + [1] 0.5626508 + + $xmother[[65]] + [1] 0.8135593 + + $xmother[[66]] + [1] 0.1052095 + + $xmother[[67]] + [1] 0.7403657 + + $xmother[[68]] + numeric(0) + + $xmother[[69]] + [1] 0.6239747 + + $xmother[[70]] + numeric(0) + + $xmother[[71]] + [1] 0.1505066 + + $xmother[[72]] + numeric(0) + + $xmother[[73]] + [1] 0.07665389 + + $xmother[[74]] + [1] 0.4716512 + + $xmother[[75]] + [1] 0.7721011 + + $xmother[[76]] + [1] 0.7198451 + + $xmother[[77]] + numeric(0) + + $xmother[[78]] + numeric(0) + + $xmother[[79]] + numeric(0) + + $xmother[[80]] + numeric(0) + + $xmother[[81]] + [1] 0.8215586 + + $xmother[[82]] + numeric(0) + + $xmother[[83]] + [1] 0.1620485 + + $xmother[[84]] + numeric(0) + + $xmother[[85]] + numeric(0) + + $xmother[[86]] + [1] 0.9591613 + + $xmother[[87]] + [1] 0.2893094 + + $xmother[[88]] + numeric(0) + + $xmother[[89]] + numeric(0) + + $xmother[[90]] + numeric(0) + + $xmother[[91]] + numeric(0) + + $xmother[[92]] + [1] 0.1556285 + + $xmother[[93]] + numeric(0) + + $xmother[[94]] + [1] 0.7225978 + + $xmother[[95]] + [1] 0.3162476 + + $xmother[[96]] + [1] 0.7945668 + + $xmother[[97]] + numeric(0) + + $xmother[[98]] + [1] 0.40087 + + $xmother[[99]] + [1] 0.6794905 + + $xmother[[100]] + [1] 0.7785906 + + + $ymother + $ymother[[1]] + numeric(0) + + $ymother[[2]] + numeric(0) + + $ymother[[3]] + numeric(0) + + $ymother[[4]] + numeric(0) + + $ymother[[5]] + [1] 0.1946619 + + $ymother[[6]] + [1] 0.02998415 + + $ymother[[7]] + [1] 0.1057829 + + $ymother[[8]] + [1] 0.683013 + + $ymother[[9]] + numeric(0) + + $ymother[[10]] + [1] 0.9311506 + + $ymother[[11]] + numeric(0) + + $ymother[[12]] + [1] 0.5523464 + + $ymother[[13]] + numeric(0) + + $ymother[[14]] + [1] 0.6075845 + + $ymother[[15]] + numeric(0) + + $ymother[[16]] + numeric(0) + + $ymother[[17]] + [1] 0.2109919 + + $ymother[[18]] + [1] 0.5279637 + + $ymother[[19]] + [1] 0.1925812 + + $ymother[[20]] + [1] 0.455245 + + $ymother[[21]] + numeric(0) + + $ymother[[22]] + numeric(0) + + $ymother[[23]] + numeric(0) + + $ymother[[24]] + numeric(0) + + $ymother[[25]] + numeric(0) + + $ymother[[26]] + [1] 0.3274384 + + $ymother[[27]] + numeric(0) + + $ymother[[28]] + numeric(0) + + $ymother[[29]] + numeric(0) + + $ymother[[30]] + numeric(0) + + $ymother[[31]] + [1] 0.125382 + + $ymother[[32]] + [1] 0.1933109 + + $ymother[[33]] + [1] 0.7192989 + + $ymother[[34]] + [1] 0.4109702 + + $ymother[[35]] + numeric(0) + + $ymother[[36]] + [1] 0.4202849 + + $ymother[[37]] + numeric(0) + + $ymother[[38]] + [1] 0.4707749 + + $ymother[[39]] + [1] 0.4220662 + + $ymother[[40]] + [1] 0.1423003 + + $ymother[[41]] + numeric(0) + + $ymother[[42]] + numeric(0) + + $ymother[[43]] + [1] 0.8323612 + + $ymother[[44]] + [1] 0.5969419 + + $ymother[[45]] + [1] 0.7855392 + + $ymother[[46]] + [1] 0.7580346 + + $ymother[[47]] + [1] 0.9331835 + + $ymother[[48]] + [1] 0.865209 + + $ymother[[49]] + [1] 0.3178596 + + $ymother[[50]] + numeric(0) + + $ymother[[51]] + [1] 0.2580516 + + $ymother[[52]] + numeric(0) + + $ymother[[53]] + [1] 0.7303232 + + $ymother[[54]] + [1] 0.7534811 + + $ymother[[55]] + [1] 0.9157326 + + $ymother[[56]] + [1] 0.7913636 + + $ymother[[57]] + numeric(0) + + $ymother[[58]] + [1] 0.1426631 + + $ymother[[59]] + numeric(0) + + $ymother[[60]] + numeric(0) + + $ymother[[61]] + numeric(0) + + $ymother[[62]] + [1] 0.2959675 + + $ymother[[63]] + [1] 0.2085973 + + $ymother[[64]] + [1] 0.7793476 + + $ymother[[65]] + [1] 0.1353756 + + $ymother[[66]] + [1] 0.1430004 + + $ymother[[67]] + [1] 0.06114522 + + $ymother[[68]] + numeric(0) + + $ymother[[69]] + [1] 0.04452156 + + $ymother[[70]] + numeric(0) + + $ymother[[71]] + [1] 0.520557 + + $ymother[[72]] + numeric(0) + + $ymother[[73]] + [1] 0.0977161 + + $ymother[[74]] + [1] 0.7439875 + + $ymother[[75]] + [1] 0.7378475 + + $ymother[[76]] + [1] 0.8971273 + + $ymother[[77]] + numeric(0) + + $ymother[[78]] + numeric(0) + + $ymother[[79]] + numeric(0) + + $ymother[[80]] + numeric(0) + + $ymother[[81]] + [1] 0.5275586 + + $ymother[[82]] + numeric(0) + + $ymother[[83]] + [1] 0.8418989 + + $ymother[[84]] + numeric(0) + + $ymother[[85]] + numeric(0) + + $ymother[[86]] + [1] 0.4612811 + + $ymother[[87]] + [1] 0.1512124 + + $ymother[[88]] + numeric(0) + + $ymother[[89]] + numeric(0) + + $ymother[[90]] + numeric(0) + + $ymother[[91]] + numeric(0) + + $ymother[[92]] + [1] 0.4433798 + + $ymother[[93]] + numeric(0) + + $ymother[[94]] + [1] 0.9635111 + + $ymother[[95]] + [1] 0.4833644 + + $ymother[[96]] + [1] 0.2543404 + + $ymother[[97]] + numeric(0) + + $ymother[[98]] + [1] 0.2608816 + + $ymother[[99]] + [1] 0.541765 + + $ymother[[100]] + [1] 0.6509566 + + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "mother_map" "list" + diff --git a/tests/testthat/_snaps/jitter_species.md b/tests/testthat/_snaps/jitter_species.md new file mode 100644 index 0000000..4309e3f --- /dev/null +++ b/tests/testthat/_snaps/jitter_species.md @@ -0,0 +1,108 @@ +# snapshot test with Thoms process + + Code + jitter_species(simdat, seed = 42L) + Output + $census + x y species + 1 0.70562431 0.7492636 species_01 + 2 0.66944759 0.4828926 species_01 + 3 0.93533619 0.4812669 species_02 + 4 0.96695333 0.1083010 species_02 + 5 0.91843733 0.6411184 species_03 + 6 0.94340404 0.5321446 species_07 + 7 0.06576721 0.4925216 species_08 + 8 0.43193198 1.0121692 species_08 + 9 0.28507829 0.7226997 species_09 + 10 0.84556285 0.1318787 species_10 + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "community" + +# snapshot test with Poisson process + + Code + jitter_species(simdat, seed = 42L) + Output + $census + x y species + 1 0.9285156 0.4567952 species_01 + 2 0.9507850 0.7181657 species_01 + 3 0.2804926 0.9548565 species_02 + 4 0.8248006 0.2756131 species_02 + 5 0.6453768 0.4616657 species_03 + 6 0.5254246 0.9530632 species_07 + 7 0.7406310 1.0010929 species_08 + 8 0.1387093 0.1403538 species_08 + 9 0.6559310 0.4611085 species_09 + 10 0.7201800 0.5575449 species_10 + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "community" + +# snapshot test wide jitter + + Code + jitter_species(simdat, sd = 3, seed = 42L) + Output + $census + x y species + 1 4.80479007 0.4662330 species_01 + 2 4.76861335 0.1998621 species_01 + 3 -0.75311134 6.5163538 species_02 + 4 -0.72149420 6.1433879 species_02 + 5 2.00419128 0.4536032 species_03 + 6 2.83566323 4.4337049 species_07 + 7 1.27452950 7.3295913 species_08 + 8 1.64069426 7.8492389 species_08 + 9 -0.03223401 -3.4299938 species_09 + 10 5.36501362 -0.7016997 species_10 + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "community" + +# snapshot test with singletons only + + Code + jitter_species(simdat, seed = 42L) + Output + $census + x y species + 1 0.9285156 0.47079047 species_01 + 2 0.9314284 0.74197871 species_02 + 3 0.2897708 0.92078364 species_03 + 4 0.8367763 0.25264094 species_04 + 5 0.6457882 0.46095961 species_05 + 6 0.5180347 0.94637403 species_06 + 7 0.7517035 0.97538390 species_07 + 8 0.1337200 0.09092281 species_08 + 9 0.6771765 0.45059241 species_09 + 10 0.7044376 0.57353388 species_10 + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "community" + diff --git a/tests/testthat/_snaps/reproduction.md b/tests/testthat/_snaps/reproduction.md new file mode 100644 index 0000000..4a27427 --- /dev/null +++ b/tests/testthat/_snaps/reproduction.md @@ -0,0 +1,10024 @@ +# replace_individuals() default snapshot with N specified + + Code + replace_individuals(simdat, N = 10L, seed = 42L) + Output + $census + x y species + 1 0.2969200108 0.7481924411 species_84 + 2 0.9351822325 0.5594644234 species_01 + 3 0.9401116716 0.4973732976 species_79 + 4 0.8026704120 0.1290908219 species_01 + 5 0.9566387638 0.5367317737 species_61 + 6 0.2330104264 0.6877789761 species_84 + 7 0.8361267822 0.1314326243 species_80 + 8 0.8270092790 0.1589600912 species_58 + 9 0.8364962446 0.1267843071 species_85 + 10 0.7951843644 0.1438685443 species_49 + 11 0.9377981281 0.5614110614 species_88 + 12 0.5507992439 0.8111403334 species_26 + 13 0.5601414737 0.7690868892 species_48 + 14 0.5592672781 0.8433217500 species_02 + 15 0.5396709233 0.8179694827 species_45 + 16 0.5502605606 0.8570405105 species_80 + 17 0.8504450614 0.6992702883 species_50 + 18 0.5508116453 0.8596730356 species_59 + 19 0.2019271289 0.1837934778 species_70 + 20 0.2848723910 0.0447854538 species_86 + 21 0.5590870665 0.8471583480 species_80 + 22 0.8533943299 0.7048412949 species_27 + 23 0.3069131087 0.0549138987 species_02 + 24 0.9165234709 0.1119148814 species_03 + 25 0.9554830664 0.1456322898 species_16 + 26 0.6150940147 0.5951844738 species_62 + 27 0.9525492262 0.0758305632 species_23 + 28 0.9676399899 0.1188770378 species_52 + 29 0.9190446603 0.1041995164 species_58 + 30 0.6157140227 0.5754781021 species_03 + 31 0.6095828177 0.8260734514 species_03 + 32 0.8783250782 0.7549842802 species_60 + 33 0.9507100224 0.1300694898 species_16 + 34 0.6142914472 0.7987691503 species_55 + 35 0.5711693065 0.5555340245 species_76 + 36 0.9614051572 0.1346136308 species_28 + 37 0.4113876448 0.2794770616 species_22 + 38 0.4447078580 0.2591881292 species_47 + 39 0.1246581188 0.2448117649 species_09 + 40 0.4001798109 0.2768383593 species_46 + 41 0.4873330538 0.6200033363 species_58 + 42 0.1418480830 0.2515548156 species_30 + 43 0.1578436481 0.2438932618 species_69 + 44 0.4438674470 0.2764340074 species_61 + 45 0.9713239961 0.5533683528 species_85 + 46 0.4744221060 0.2376499496 species_61 + 47 0.1866772153 0.2305161641 species_48 + 48 0.4203316481 0.2512609957 species_89 + 49 0.4412752491 0.2579678342 species_64 + 50 0.2001213289 0.2334537367 species_48 + 51 0.0326246632 0.7105802314 species_89 + 52 0.3366972095 0.3063245914 species_88 + 53 0.8617557490 0.3230890840 species_18 + 54 0.0594912151 0.7052664703 species_52 + 55 0.8565588165 0.3581994954 species_74 + 56 0.3340953148 0.3035924801 species_69 + 57 0.8599738947 0.3442462615 species_74 + 58 0.8107667186 0.3273414021 species_70 + 59 0.3411830449 0.3331721085 species_69 + 60 0.3127826557 0.3080801391 species_38 + 61 0.0524765901 0.7490031593 species_56 + 62 0.3433356857 0.2957484766 species_52 + 63 0.3491489610 0.3151336843 species_56 + 64 0.0375054990 0.4274908937 species_84 + 65 0.0355564624 0.3808688243 species_49 + 66 0.1097974296 0.7087770994 species_89 + 67 0.3270861381 0.9405973343 species_85 + 68 0.0634304767 0.7115214702 species_52 + 69 0.1024657154 0.7465824215 species_89 + 70 0.7295638714 0.2021550797 species_71 + 71 0.0849359153 0.7143952757 species_89 + 72 0.7371889969 0.1885763517 species_06 + 73 0.2909465447 0.9656126733 species_51 + 74 0.1065684245 0.1068064925 species_68 + 75 0.7589800071 0.2037779502 species_71 + 76 0.1202717132 0.7059372484 species_06 + 77 0.0898796333 0.7385593142 species_89 + 78 0.0939770078 0.0871260305 species_67 + 79 0.7274964733 0.1962613097 species_08 + 80 0.7535828070 0.1883211577 species_71 + 81 0.1247792547 0.0802589154 species_65 + 82 0.1882942321 0.9161689707 species_88 + 83 0.0887360381 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species_17 + 4907 0.2614750400 0.1999924973 species_68 + 4908 0.8416561796 0.7943182217 species_12 + 4909 0.2609605077 0.1886325960 species_31 + 4910 0.6746440188 0.7944136617 species_27 + 4911 0.6020167007 0.9786310797 species_33 + 4912 0.2958081144 0.1192414777 species_60 + 4913 0.0400543500 0.1788476469 species_89 + 4914 0.7389131754 0.3517302414 species_65 + 4915 0.8475078495 0.7903152851 species_71 + 4916 0.6075819215 0.9616495357 species_26 + 4917 0.2678528475 0.1623697271 species_90 + 4918 0.6448298190 0.9764160521 species_64 + 4919 0.7988607403 0.8156553479 species_87 + 4920 0.3277517784 0.1378311326 species_63 + 4921 0.3312668806 0.0836721296 species_55 + 4922 0.7679036026 0.3622615116 species_70 + 4923 0.7313977694 0.3409549363 species_65 + 4924 0.9776423115 0.5298375108 species_79 + 4925 0.6330312951 0.7679313574 species_55 + 4926 0.5952439742 0.9535764299 species_70 + 4927 0.0670152525 0.1850098573 species_40 + 4928 0.9535751905 0.5281156826 species_64 + 4929 0.6780021473 0.7951865819 species_90 + 4930 0.0565551159 0.1929737681 species_90 + 4931 0.6099637487 0.8087342306 species_44 + 4932 0.6266052979 0.9913139071 species_80 + 4933 0.6381961158 0.9677598264 species_51 + 4934 0.3207260146 0.1256333094 species_24 + 4935 0.6359829063 0.7983340895 species_87 + 4936 0.3490975402 0.1629658036 species_63 + 4937 0.6449653050 0.8110528473 species_90 + 4938 0.7107940856 0.3286739576 species_46 + 4939 0.7084982801 0.3229845026 species_46 + 4940 0.0455311743 0.1896744025 species_82 + 4941 0.2531280264 0.1879968422 species_24 + 4942 0.6054224433 0.9574510879 species_26 + 4943 0.2849525927 0.2131949997 species_47 + 4944 0.5704560662 0.9686480482 species_39 + 4945 0.7246157065 0.3354868678 species_80 + 4946 0.7268167409 0.3592763299 species_74 + 4947 0.3522362822 0.1207342527 species_31 + 4948 0.6149131265 0.9838885677 species_21 + 4949 0.7311658587 0.3370954483 species_70 + 4950 0.0540245830 0.1627777645 species_85 + 4951 0.6299664743 0.7981167296 species_90 + 4952 0.8209356038 0.7840630524 species_27 + 4953 0.3717560711 0.4998677538 species_63 + 4954 0.8205328875 0.7695292218 species_30 + 4955 0.3069336217 0.0888907103 species_85 + 4956 0.9931009086 0.5447366957 species_90 + 4957 0.3102976931 0.5135420638 species_61 + 4958 0.3417751717 0.1270468253 species_66 + 4959 0.0194114811 0.1970475724 species_63 + 4960 0.6203933494 0.8107641476 species_33 + 4961 0.6973385338 0.2941499904 species_70 + 4962 0.3534032605 0.5160226165 species_63 + 4963 0.6072932351 0.9591799117 species_90 + 4964 0.6598747818 0.8104010776 species_30 + 4965 0.8867973587 0.8124071478 species_31 + 4966 0.2461717219 0.2025446789 species_65 + 4967 0.6127831966 0.9722704776 species_21 + 4968 0.3180955339 0.5031254263 species_78 + 4969 0.6372193785 0.7885450232 species_90 + 4970 0.3661467328 0.5077545250 species_84 + 4971 0.0422365410 0.1852774584 species_46 + 4972 0.0795615071 0.1813230998 species_68 + 4973 0.3367323389 0.1103545570 species_65 + 4974 0.3269774257 0.4910904900 species_59 + 4975 0.7258972468 0.3518937173 species_70 + 4976 0.6132203605 0.9755872623 species_90 + 4977 0.0340150275 0.1781533077 species_76 + 4978 0.2905893194 0.4803525224 species_16 + 4979 0.0281275268 0.2020961499 species_89 + 4980 0.8161481099 0.7443268177 species_30 + 4981 0.3227988171 0.5341615921 species_76 + 4982 0.7084229771 0.3258959018 species_81 + 4983 0.6731626807 0.8104390603 species_27 + 4984 0.8267994460 0.7757042358 species_14 + 4985 0.6020221775 0.9647005339 species_80 + 4986 0.0530238549 0.1582421851 species_76 + 4987 0.2940143238 0.5289281953 species_38 + 4988 0.0661308028 0.1698739900 species_40 + 4989 0.0499866422 0.1641458929 species_67 + 4990 0.6089288516 0.7959831477 species_59 + 4991 0.0544366492 0.1370206182 species_82 + 4992 0.3452479540 0.1076716388 species_55 + 4993 0.9813637427 0.5490995993 species_82 + 4994 0.7408132785 0.2958430596 species_34 + 4995 0.2625249166 0.2217573983 species_82 + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "community" + diff --git a/tests/testthat/_snaps/sampling-sample_quadrats().md b/tests/testthat/_snaps/sampling-sample_quadrats.md similarity index 100% rename from tests/testthat/_snaps/sampling-sample_quadrats().md rename to tests/testthat/_snaps/sampling-sample_quadrats.md diff --git a/tests/testthat/_snaps/simulation_functions-sim_sad().md b/tests/testthat/_snaps/simulation_functions-sim_sad.md similarity index 100% rename from tests/testthat/_snaps/simulation_functions-sim_sad().md rename to tests/testthat/_snaps/simulation_functions-sim_sad.md diff --git a/tests/testthat/_snaps/utils.md b/tests/testthat/_snaps/utils.md new file mode 100644 index 0000000..985b84d --- /dev/null +++ b/tests/testthat/_snaps/utils.md @@ -0,0 +1,366 @@ +# torusify() - mother_map method - default snapshot 0-1 range + + Code + torusify(mpcoordsJ) + Output + $n_mother_points + [1] 1 1 1 1 2 4 2 2 1 4 3 4 3 4 1 1 2 4 2 2 + + $xmother + $xmother[[1]] + [1] 0.01690673 + + $xmother[[2]] + [1] 0.4446157 + + $xmother[[3]] + [1] 0.07827696 + + $xmother[[4]] + [1] 0.845256 + + $xmother[[5]] + [1] 0.2952425 0.1958382 + + $xmother[[6]] + [1] 0.9247695 0.6217610 0.5022408 0.6478620 + + $xmother[[7]] + [1] 0.6522046 0.6709913 + + $xmother[[8]] + [1] 0.2215262 0.8488034 + + $xmother[[9]] + [1] 0.6039843 + + $xmother[[10]] + [1] 0.7407673 0.1545754 0.2382927 0.5852006 + + $xmother[[11]] + [1] 0.57211868 0.45964346 0.09184628 + + $xmother[[12]] + [1] 0.5216790 0.6175640 0.1173316 0.6661692 + + $xmother[[13]] + [1] 0.1159468 0.3504895 0.3512587 + + $xmother[[14]] + [1] 0.6988536 0.6997776 0.4612603 0.5037960 + + $xmother[[15]] + [1] 0.9579136 + + $xmother[[16]] + [1] 0.5538019 + + $xmother[[17]] + [1] 0.5977693 0.3238998 + + $xmother[[18]] + [1] 0.61854155 0.01846501 0.62278076 0.29360308 + + $xmother[[19]] + [1] 0.89964530 0.03403397 + + $xmother[[20]] + [1] 0.3863739 0.7448466 + + + $ymother + $ymother[[1]] + [1] 0.487928 + + $ymother[[2]] + [1] 0.8371071 + + $ymother[[3]] + [1] 0.1604623 + + $ymother[[4]] + [1] 0.3988662 + + $ymother[[5]] + [1] 0.207488390 0.008764592 + + $ymother[[6]] + [1] 0.7889623 0.9435680 0.4080965 0.4666923 + + $ymother[[7]] + [1] 0.54900808 0.04575119 + + $ymother[[8]] + [1] 0.6449886 0.5351375 + + $ymother[[9]] + [1] 0.8562194 + + $ymother[[10]] + [1] 0.4799001 0.7135969 0.1044995 0.8448424 + + $ymother[[11]] + [1] 0.5939472 0.4712747 0.2412478 + + $ymother[[12]] + [1] 0.2054988 0.8477978 0.4678529 0.5380697 + + $ymother[[13]] + [1] 0.72967974 0.07912444 0.07246405 + + $ymother[[14]] + [1] 0.2971583 0.4770838 0.6376082 0.9063661 + + $ymother[[15]] + [1] 0.08664575 + + $ymother[[16]] + [1] 0.3198165 + + $ymother[[17]] + [1] 0.1643664 0.9909220 + + $ymother[[18]] + [1] 0.48188800 0.02625542 0.35946901 0.79859871 + + $ymother[[19]] + [1] 0.08843574 0.18497579 + + $ymother[[20]] + [1] 0.3358003 0.4675923 + + + $x_min_max + [1] 0 1 + + $y_min_max + [1] 0 1 + + attr(,"class") + [1] "mother_map" "list" + +# torusify() - mother_map method - wild range snapshot + + Code + torusify(mpcoordsJ) + Output + $n_mother_points + [1] 1 1 1 1 2 4 2 2 1 4 3 4 3 4 1 1 2 4 2 2 + + $xmother + $xmother[[1]] + [1] 9.920938 + + $xmother[[2]] + [1] 8.583326 + + $xmother[[3]] + [1] 9.067169 + + $xmother[[4]] + [1] 9.791924 + + $xmother[[5]] + [1] 9.37768 8.71005 + + $xmother[[6]] + [1] 9.314973 9.527499 8.949210 9.483866 + + $xmother[[7]] + [1] 9.389800 8.482046 + + $xmother[[8]] + [1] 8.609634 8.533973 + + $xmother[[9]] + [1] 9.607933 + + $xmother[[10]] + [1] 9.573683 9.161910 8.445952 8.491802 + + $xmother[[11]] + [1] 9.183897 9.839203 9.527618 + + $xmother[[12]] + [1] 9.559110 9.591104 8.549083 8.623746 + + $xmother[[13]] + [1] 9.003702 9.990468 9.322225 + + $xmother[[14]] + [1] 9.317692 8.033205 8.808009 9.902281 + + $xmother[[15]] + [1] 9.742606 + + $xmother[[16]] + [1] 9.592738 + + $xmother[[17]] + [1] 8.346565 9.001177 + + $xmother[[18]] + [1] 9.789806 9.279553 9.137194 9.969210 + + $xmother[[19]] + [1] 8.882463 9.793578 + + $xmother[[20]] + [1] 8.952862 9.594536 + + + $ymother + $ymother[[1]] + [1] -0.3225981 + + $ymother[[2]] + [1] 0.1083937 + + $ymother[[3]] + [1] -0.01137924 + + $ymother[[4]] + [1] 0.09207103 + + $ymother[[5]] + [1] 0.4480331 -0.9482466 + + $ymother[[6]] + [1] -0.07055863 -0.84004661 0.88749505 0.66410262 + + $ymother[[7]] + [1] 0.26836392 0.05363593 + + $ymother[[8]] + [1] -0.97952141 0.04954517 + + $ymother[[9]] + [1] 0.85779 + + $ymother[[10]] + [1] 0.06150408 0.87150211 0.46352779 -0.50952576 + + $ymother[[11]] + [1] -0.6302295 -0.9650784 -0.5250488 + + $ymother[[12]] + [1] -0.7045207 0.9334098 0.7730712 0.2054962 + + $ymother[[13]] + [1] -0.2700814 0.2876944 -0.9945018 + + $ymother[[14]] + [1] 0.2228031 -0.7888219 0.9706802 0.4214294 + + $ymother[[15]] + [1] 0.8306204 + + $ymother[[16]] + [1] -0.06102422 + + $ymother[[17]] + [1] -0.2093883 -0.7919203 + + $ymother[[18]] + [1] 0.6984553 0.4152004 0.3019247 -0.2387933 + + $ymother[[19]] + [1] 0.8282910 0.9182217 + + $ymother[[20]] + [1] -0.1284384 0.4698653 + + + $x_min_max + [1] 8 10 + + $y_min_max + [1] -1 1 + + attr(,"class") + [1] "mother_map" "list" + +# torusify() - community method - wild range snapshot + + Code + torusify(simdatJ) + Output + $census + x y species + 1 9.509855 -0.8146547 species_01 + 2 9.425606 0.6576038 species_01 + 3 8.193557 -0.9694344 species_02 + 4 8.267398 0.2258254 species_02 + 5 8.918997 -0.9046513 species_03 + 6 9.772739 0.9528009 species_07 + 7 9.311961 -0.2386575 species_08 + 8 8.076466 0.8227788 species_08 + 9 8.253906 -0.6934055 species_09 + 10 8.195461 -0.5670331 species_10 + + $x_min_max + [1] 8 10 + + $y_min_max + [1] -1 1 + + attr(,"class") + [1] "community" + +# torusify() - data.frame method - wild range snapshot + + Code + torusify(mpcoords, x_min_max, y_min_max) + Output + xmother ymother + 1 8.659224 0.61612555 + 2 8.748302 -0.44515933 + 3 8.144558 0.95556692 + 4 8.321791 0.78667293 + 5 9.566982 -0.67024977 + 6 9.076384 -0.94315286 + 7 9.946353 0.56081387 + 8 9.538666 0.62295252 + 9 9.627969 0.78787851 + 10 9.820259 0.34401704 + 11 8.830967 -0.04961753 + 12 9.876449 0.24422057 + 13 8.738689 0.55243313 + 14 8.021715 -0.25932108 + 15 8.849171 -0.98420664 + 16 8.760058 0.33166432 + 17 8.912906 -0.97066341 + 18 9.469949 -0.16936411 + 19 8.899988 0.62640563 + 20 9.241331 -0.55288543 + +# torudify() - numeric method - wild range snapshot + + Code + torusify(mpcoords, range = c(0, 1)) + Output + [1] 0.6592242 0.7483017 0.1445581 0.3217905 0.5669821 0.0763838 0.9463533 + [8] 0.5386664 0.6279692 0.8202591 + +# community2ppp() default behaviour snapshot + + Code + community2ppp(simdat) + Output + Marked planar point pattern: 4995 points + Multitype, with levels = + species_01 species_02 species_03 species_04 species_05 species_06 species_07 + species_08 species_09 species_10 species_11 species_12 species_13 species_14 + species_15 species_16 species_17 species_18 species_19 species_20 species_21 + species_22 species_23 species_24 species_25 species_26 species_27 species_28 + species_29 species_30 species_31 species_32 species_33 species_34 species_35 + species_36 species_37 species_38 species_39 species_40 species_41 species_42 + species_43 species_44 species_45 species_46 species_47 species_48 species_49 + species_50 species_51 species_52 species_53 species_54 species_55 species_56 + species_57 species_58 species_59 species_60 species_61 species_62 species_63 + species_64 species_65 species_66 species_67 species_68 species_69 species_70 + species_71 species_72 species_73 species_74 species_75 species_76 species_77 + species_78 species_79 species_80 species_81 species_82 species_83 species_84 + species_85 species_86 species_87 species_88 species_89 species_90 + window: rectangle = [0, 1] x [0, 1] units + diff --git a/tests/testthat/setup.R b/tests/testthat/setup.R new file mode 100644 index 0000000..98f28b3 --- /dev/null +++ b/tests/testthat/setup.R @@ -0,0 +1,6 @@ +base::options(digits = 7) +suppressWarnings({ + suppressMessages({ + if (isTRUE(require(paint))) paint::unmask_print() + }) +}) diff --git a/tests/testthat/test-create_motherpoints.R b/tests/testthat/test-create_motherpoints.R new file mode 100644 index 0000000..e21c29d --- /dev/null +++ b/tests/testthat/test-create_motherpoints.R @@ -0,0 +1,103 @@ +## structure ---- +test_that("create_motherpoints() output is class mother_map", { + result <- create_motherpoints(s_local = 10L, seed = 1L) + expect_s3_class(result, "mother_map") + expect_true(all(is.element( + c("n_mother_points", "xmother", "ymother", "x_min_max", "y_min_max"), + names(result) + ))) +}) + +test_that("create_motherpoints() xmother and ymother are always lists", { + # Default range — sapply would have given a list anyway, confirm list + r1 <- create_motherpoints(s_local = 10L, seed = 1L) + expect_type(r1$xmother, "list") + expect_type(r1$ymother, "list") + + # Uniform count (n_motherpoints_range = 1L) — previously collapsed to vector + r2 <- create_motherpoints(s_local = 10L, n_motherpoints_range = 1L, seed = 1L) + expect_type(r2$xmother, "list") + expect_type(r2$ymother, "list") + + # Uniform count > 1 — previously collapsed to matrix + r3 <- create_motherpoints(s_local = 10L, n_motherpoints_range = 2L, seed = 1L) + expect_type(r3$xmother, "list") + expect_type(r3$ymother, "list") +}) + +test_that("create_motherpoints() list lengths match s_local", { + s <- 15L + result <- create_motherpoints(s_local = s, seed = 1L) + expect_length(result$xmother, s) + expect_length(result$ymother, s) + expect_length(result$n_mother_points, s) +}) + +## invariants ---- +test_that("create_motherpoints() coordinates stay within xrange/yrange", { + xr <- c(2, 5) + yr <- c(-1, 3) + result <- create_motherpoints( + s_local = 20L, + xrange = xr, + yrange = yr, + seed = 1L + ) + all_x <- unlist(result$xmother) + all_y <- unlist(result$ymother) + expect_true(all(all_x >= xr[[1L]] & all_x <= xr[[2L]])) + expect_true(all(all_y >= yr[[1L]] & all_y <= yr[[2L]])) +}) + +test_that("create_motherpoints() n_mother_points values are within n_motherpoints_range", { + rng <- 1L:5L + result <- create_motherpoints(s_local = 50L, n_motherpoints_range = rng, seed = 1L) + expect_true(all(is.element(result$n_mother_points, rng))) +}) + +## reproducibility ---- +test_that("create_motherpoints() seed produces identical results", { + r1 <- create_motherpoints(s_local = 20L, seed = 99L) + r2 <- create_motherpoints(s_local = 20L, seed = 99L) + expect_equal(r1$n_mother_points, r2$n_mother_points) + expect_equal(r1$xmother, r2$xmother) + expect_equal(r1$ymother, r2$ymother) +}) + +test_that("create_motherpoints() stores xrange and yrange correctly", { + xr <- c(2, 5) + yr <- c(-1, 3) + result <- create_motherpoints(s_local = 5L, xrange = xr, yrange = yr, seed = 1L) + expect_equal(result$x_min_max, xr) + expect_equal(result$y_min_max, yr) +}) + +## snapshots ---- +test_that("snapshot test with clustering", { + expect_snapshot(create_motherpoints(s_local = 100L, seed = 42L)) +}) + +test_that("snapshot test with clustering - no range", { + expect_snapshot(create_motherpoints( + s_local = 100L, + n_motherpoints_range = 1L, + seed = 42L + )) +}) + +test_that("snapshot test without clustering", { + expect_snapshot(create_motherpoints( + s_local = 100L, + n_motherpoints_range = 0L:1L, + seed = 42L + )) +}) + +test_that("snapshot test plotting method for mother_map class", { + mpcoords <- create_motherpoints( + s_local = 100L, + n_motherpoints_range = 0L:1L, + seed = 42L + ) + expect_snapshot_output(plot(mpcoords)) +}) diff --git a/tests/testthat/test-drift_motherpoints.R b/tests/testthat/test-drift_motherpoints.R new file mode 100644 index 0000000..8bd4ece --- /dev/null +++ b/tests/testthat/test-drift_motherpoints.R @@ -0,0 +1,90 @@ +## invariants ---- +test_that("drift_x_motherpoints() shifts all x by exactly drift", { + mpcoords <- create_motherpoints(s_local = 10L, seed = 42L) + d <- 0.15 + result <- drift_x_motherpoints(mpcoords, drift = d) + expect_equal( + mapply(FUN = function(r, o) all(r == o + d), result$xmother, mpcoords$xmother), + rep(TRUE, length(mpcoords$xmother)) + ) +}) + +test_that("drift_y_motherpoints() shifts all y by exactly drift", { + mpcoords <- create_motherpoints(s_local = 10L, seed = 42L) + d <- -0.3 + result <- drift_y_motherpoints(mpcoords, drift = d) + expect_equal( + mapply(FUN = function(r, o) all(r == o + d), result$ymother, mpcoords$ymother), + rep(TRUE, length(mpcoords$ymother)) + ) +}) + +test_that("drift_x_motherpoints() does not change y coordinates", { + mpcoords <- create_motherpoints(s_local = 10L, seed = 42L) + result <- drift_x_motherpoints(mpcoords, drift = 0.1) + expect_equal(result$ymother, mpcoords$ymother) +}) + +test_that("drift_y_motherpoints() does not change x coordinates", { + mpcoords <- create_motherpoints(s_local = 10L, seed = 42L) + result <- drift_y_motherpoints(mpcoords, drift = 0.1) + expect_equal(result$xmother, mpcoords$xmother) +}) + +test_that("drift_x_motherpoints() preserves mother_map class", { + mpcoords <- create_motherpoints(s_local = 10L, seed = 42L) + result <- drift_x_motherpoints(mpcoords, drift = 0.1) + expect_s3_class(result, "mother_map") +}) + +test_that("drift_y_motherpoints() preserves mother_map class", { + mpcoords <- create_motherpoints(s_local = 10L, seed = 42L) + result <- drift_y_motherpoints(mpcoords, drift = 0.1) + expect_s3_class(result, "mother_map") +}) + +## edge cases ---- +test_that("drift_x_motherpoints() errors when drift is not provided", { + mpcoords <- create_motherpoints(s_local = 10L, seed = 42L) + expect_error(drift_x_motherpoints(mpcoords)) +}) + +test_that("drift_y_motherpoints() errors when drift is not provided", { + mpcoords <- create_motherpoints(s_local = 10L, seed = 42L) + expect_error(drift_y_motherpoints(mpcoords)) +}) + +test_that("drift_x_motherpoints() with zero drift leaves x unchanged", { + mpcoords <- create_motherpoints(s_local = 10L, seed = 42L) + result <- drift_x_motherpoints(mpcoords, drift = 0) + expect_equal(result$xmother, mpcoords$xmother) +}) + +## snapshots ---- +test_that("snapshot test drift_x with clustering", { + mpcoords <- create_motherpoints(s_local = 100L, seed = 42L) + expect_snapshot(drift_x_motherpoints(mpcoords, drift = 0.1)) +}) + +test_that("snapshot test drift_x without clustering", { + mpcoords <- create_motherpoints( + s_local = 100L, + n_motherpoints_range = 0:1, + seed = 42L + ) + expect_snapshot(drift_x_motherpoints(mpcoords, drift = 0.1)) +}) + +test_that("snapshot test drift_y with clustering", { + mpcoords <- create_motherpoints(s_local = 100L, seed = 42L) + expect_snapshot(drift_y_motherpoints(mpcoords, drift = 0.1)) +}) + +test_that("snapshot test drift_y without clustering", { + mpcoords <- create_motherpoints( + s_local = 100L, + n_motherpoints_range = 0:1, + seed = 42L + ) + expect_snapshot(drift_y_motherpoints(mpcoords, drift = 0.1)) +}) diff --git a/tests/testthat/test-drift_species.R b/tests/testthat/test-drift_species.R new file mode 100644 index 0000000..f7efbd5 --- /dev/null +++ b/tests/testthat/test-drift_species.R @@ -0,0 +1,70 @@ +## invariants ---- +test_that("drift_x_species() shifts all x by exactly drift", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + d <- 0.15 + result <- drift_x_species(simdat, drift = d) + expect_equal(result$census$x, simdat$census$x + d) +}) + +test_that("drift_y_species() shifts all y by exactly drift", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + d <- -0.3 + result <- drift_y_species(simdat, drift = d) + expect_equal(result$census$y, simdat$census$y + d) +}) + +test_that("drift_x_species() does not change y coordinates or species", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + result <- drift_x_species(simdat, drift = 0.1) + expect_equal(result$census$y, simdat$census$y) + expect_equal(as.character(result$census$species), as.character(simdat$census$species)) +}) + +test_that("drift_y_species() does not change x coordinates or species", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + result <- drift_y_species(simdat, drift = 0.1) + expect_equal(result$census$x, simdat$census$x) + expect_equal(as.character(result$census$species), as.character(simdat$census$species)) +}) + +test_that("drift_x_species() preserves community class", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + result <- drift_x_species(simdat, drift = 0.1) + expect_s3_class(result, "community") +}) + +test_that("drift_y_species() preserves community class", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + result <- drift_y_species(simdat, drift = 0.1) + expect_s3_class(result, "community") +}) + +## edge cases ---- +test_that("drift_x_species() with zero drift leaves coordinates unchanged", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + result <- drift_x_species(simdat, drift = 0) + expect_equal(result$census$x, simdat$census$x) +}) + +test_that("drift_y_species() with zero drift leaves coordinates unchanged", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + result <- drift_y_species(simdat, drift = 0) + expect_equal(result$census$y, simdat$census$y) +}) + +test_that("drift_x_species() errors when drift is not provided", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + expect_error(drift_x_species(simdat)) +}) + +test_that("drift_y_species() errors when drift is not provided", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + expect_error(drift_y_species(simdat)) +}) + +## snapshots ---- +test_that("snapshot test with drift", { + simdat <- sim_thomas_community(10L, 10L, fix_s_sim = TRUE, seed = 42L) + expect_snapshot(drift_x_species(simdat, drift = 0.1)) + expect_snapshot(drift_y_species(simdat, drift = 0.1)) +}) diff --git a/tests/testthat/test-jitter_motherpoints.R b/tests/testthat/test-jitter_motherpoints.R new file mode 100644 index 0000000..8c8a515 --- /dev/null +++ b/tests/testthat/test-jitter_motherpoints.R @@ -0,0 +1,72 @@ +## structure ---- +test_that("jitter_motherpoints() returns a mother_map object", { + mpcoords <- create_motherpoints(s_local = 10L, seed = 42L) + result <- jitter_motherpoints(mpcoords, seed = 1L) + expect_s3_class(result, "mother_map") + expect_true(all(is.element( + c("n_mother_points", "xmother", "ymother", "x_min_max", "y_min_max"), + names(result) + ))) +}) + +test_that("jitter_motherpoints() preserves list lengths", { + s <- 15L + mpcoords <- create_motherpoints(s_local = s, seed = 42L) + result <- jitter_motherpoints(mpcoords, seed = 1L) + expect_length(result$xmother, s) + expect_length(result$ymother, s) + expect_length(result$n_mother_points, s) +}) + +test_that("jitter_motherpoints() preserves n_mother_points", { + mpcoords <- create_motherpoints(s_local = 10L, seed = 42L) + result <- jitter_motherpoints(mpcoords, seed = 1L) + expect_equal(result$n_mother_points, mpcoords$n_mother_points) +}) + +## invariants ---- +test_that("jitter_motherpoints() coordinates actually change", { + mpcoords <- create_motherpoints(s_local = 10L, seed = 42L) + result <- jitter_motherpoints(mpcoords, sd = 0.1, seed = 1L) + expect_false(isTRUE(all.equal(unlist(result$xmother), unlist(mpcoords$xmother)))) +}) + +test_that("jitter_motherpoints() species with 0 mother points are unaffected", { + mpcoords <- create_motherpoints( + s_local = 20L, + n_motherpoints_range = 0L:3L, + seed = 42L + ) + zero_idx <- which(mpcoords$n_mother_points == 0L) + if (length(zero_idx) > 0L) { + result <- jitter_motherpoints(mpcoords, sd = 1, seed = 1L) + for (i in zero_idx) { + expect_length(result$xmother[[i]], 0L) + expect_length(result$ymother[[i]], 0L) + } + } +}) + +## reproducibility ---- +test_that("jitter_motherpoints() seed produces identical results", { + mpcoords <- create_motherpoints(s_local = 10L, seed = 42L) + r1 <- jitter_motherpoints(mpcoords, seed = 7L) + r2 <- jitter_motherpoints(mpcoords, seed = 7L) + expect_equal(r1$xmother, r2$xmother) + expect_equal(r1$ymother, r2$ymother) +}) + +## snapshots ---- +test_that("snapshot test with clustering", { + mpcoords <- create_motherpoints(s_local = 100L, seed = 42L) + expect_snapshot(jitter_motherpoints(mpcoords, seed = 42L)) +}) + +test_that("snapshot test without clustering", { + mpcoords <- create_motherpoints( + s_local = 100L, + n_motherpoints_range = 0:1, + seed = 42L + ) + expect_snapshot(jitter_motherpoints(mpcoords, seed = 42L)) +}) diff --git a/tests/testthat/test-jitter_species.R b/tests/testthat/test-jitter_species.R new file mode 100644 index 0000000..36d989d --- /dev/null +++ b/tests/testthat/test-jitter_species.R @@ -0,0 +1,88 @@ +## structure ---- +test_that("jitter_species() returns a community object", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + result <- jitter_species(simdat, seed = 1L) + expect_s3_class(result, "community") + expect_true(all(is.element(c("census", "x_min_max", "y_min_max"), names(result)))) +}) + +test_that("jitter_species() preserves row count", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + expect_equal(nrow(jitter_species(simdat, seed = 1L)$census), nrow(simdat$census)) +}) + +## invariants ---- +test_that("jitter_species() preserves species column order", { + # Use an interleaved census so the bug would have been visible + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + # Shuffle rows to interleave species + set.seed(1L) + idx <- sample.int(nrow(simdat$census)) + simdat$census <- simdat$census[idx, ] + rownames(simdat$census) <- NULL + + result <- jitter_species(simdat, sd = 0.1, seed = 1L) + expect_equal( + as.character(result$census$species), + as.character(simdat$census$species) + ) +}) + +test_that("jitter_species() applies the same x/y shift to all individuals of a species", { + simdat <- sim_thomas_community(3L, 30L, fix_s_sim = TRUE, seed = 42L) + result <- jitter_species(simdat, sd = 0.05, seed = 1L) + + for (sp in levels(simdat$census$species)) { + idx <- simdat$census$species == sp + if (sum(idx) < 2L) next + x_diffs <- result$census$x[idx] - simdat$census$x[idx] + y_diffs <- result$census$y[idx] - simdat$census$y[idx] + expect_true(all(abs(x_diffs - x_diffs[[1L]]) < 1e-12), + label = paste0("x shift uniform within species ", sp)) + expect_true(all(abs(y_diffs - y_diffs[[1L]]) < 1e-12), + label = paste0("y shift uniform within species ", sp)) + } +}) + +test_that("jitter_species() coordinates actually change", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + result <- jitter_species(simdat, sd = 0.1, seed = 1L) + expect_false(isTRUE(all.equal(result$census$x, simdat$census$x))) +}) + +test_that("jitter_species() with sd = 0 leaves coordinates unchanged", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + result <- jitter_species(simdat, sd = 0, seed = 1L) + expect_equal(result$census$x, simdat$census$x) + expect_equal(result$census$y, simdat$census$y) +}) + +## reproducibility ---- +test_that("jitter_species() seed produces identical results", { + simdat <- sim_thomas_community(5L, 20L, seed = 42L) + r1 <- jitter_species(simdat, seed = 7L) + r2 <- jitter_species(simdat, seed = 7L) + expect_equal(r1$census$x, r2$census$x) + expect_equal(r1$census$y, r2$census$y) +}) + +## snapshots ---- +test_that("snapshot test with Thoms process", { + simdat <- sim_thomas_community(10L, 10L, seed = 42L) + expect_snapshot(jitter_species(simdat, seed = 42L)) +}) + +test_that("snapshot test with Poisson process", { + simdat <- sim_poisson_community(10L, 10L, seed = 42L) + expect_snapshot(jitter_species(simdat, seed = 42L)) +}) + +test_that("snapshot test wide jitter", { + simdat <- sim_thomas_community(10L, 10L, seed = 42L) + expect_snapshot(jitter_species(simdat, sd = 3, seed = 42L)) +}) + +test_that("snapshot test with singletons only", { + simdat <- sim_thomas_community(10L, 10L, fix_s_sim = TRUE, seed = 42L) + expect_snapshot(jitter_species(simdat, seed = 42L)) +}) diff --git a/tests/testthat/test_patterns_of_biodiversity_functions.R b/tests/testthat/test-patterns_of_biodiversity_functions.R similarity index 100% rename from tests/testthat/test_patterns_of_biodiversity_functions.R rename to tests/testthat/test-patterns_of_biodiversity_functions.R diff --git a/tests/testthat/test-reproduction.R b/tests/testthat/test-reproduction.R new file mode 100644 index 0000000..f5e4094 --- /dev/null +++ b/tests/testthat/test-reproduction.R @@ -0,0 +1,61 @@ +# Reproduction functions + +## edge cases ---- +test_that("replace_individuals() errors when both N and R are NULL", { + simdat <- sim_thomas_coords(11L:30L, seed = 42L) + expect_error(replace_individuals(simdat), regexp = "N.*R|R.*N", ignore.case = TRUE) +}) + +## structure ---- +test_that("replace_individuals() output is class community", { + simdat <- sim_thomas_coords(11L:30L, seed = 42L) + result <- replace_individuals(simdat, N = 5L, seed = 42L) + expect_s3_class(result, "community") +}) + +test_that("replace_individuals() preserves individual count", { + simdat <- sim_thomas_coords(11L:30L, seed = 42L) + result <- replace_individuals(simdat, N = 5L, seed = 42L) + expect_equal(nrow(result$census), nrow(simdat$census)) +}) + +test_that("replace_individuals() species column is a factor", { + simdat <- sim_thomas_coords(11L:30L, seed = 42L) + result <- replace_individuals(simdat, N = 5L, seed = 42L) + expect_true(is.factor(result$census$species)) +}) + +test_that("replace_individuals() x and y coordinates are unchanged", { + simdat <- sim_thomas_coords(11L:30L, seed = 42L) + result <- replace_individuals(simdat, N = 5L, seed = 42L) + expect_equal(result$census$x, simdat$census$x) + expect_equal(result$census$y, simdat$census$y) +}) + +## invariants ---- +test_that("replace_individuals() only assigns existing species", { + simdat <- sim_thomas_coords(11L:30L, seed = 42L) + result <- replace_individuals(simdat, N = 5L, seed = 42L) + original_species <- levels(simdat$census$species) + result_species <- levels(result$census$species) + expect_true(all(is.element(result_species, original_species))) +}) + +## reproducibility ---- +test_that("replace_individuals() seed produces identical results", { + simdat <- sim_thomas_coords(11L:30L, seed = 42L) + r1 <- replace_individuals(simdat, N = 5L, seed = 7L) + r2 <- replace_individuals(simdat, N = 5L, seed = 7L) + expect_equal(as.character(r1$census$species), as.character(r2$census$species)) +}) + +## snapshots ---- +test_that("replace_individuals() default snapshot with N specified", { + simdat <- sim_thomas_coords(11L:100L, seed = 42L) + expect_snapshot(replace_individuals(simdat, N = 10L, seed = 42L)) +}) + +test_that("replace_individuals() default snapshot with R specified", { + simdat <- sim_thomas_coords(11L:100L, seed = 42L) + expect_snapshot(replace_individuals(simdat, R = 0.1, seed = 42L)) +}) diff --git a/tests/testthat/test_sampling-sample_quadrats().R b/tests/testthat/test-sampling-sample_quadrats.R similarity index 100% rename from tests/testthat/test_sampling-sample_quadrats().R rename to tests/testthat/test-sampling-sample_quadrats.R diff --git a/tests/testthat/test_sampling-sampling_grids().R b/tests/testthat/test-sampling-sampling_grids.R similarity index 100% rename from tests/testthat/test_sampling-sampling_grids().R rename to tests/testthat/test-sampling-sampling_grids.R diff --git a/tests/testthat/test_sampling-sampling_random_with_overlap.R b/tests/testthat/test-sampling-sampling_random_with_overlap.R similarity index 100% rename from tests/testthat/test_sampling-sampling_random_with_overlap.R rename to tests/testthat/test-sampling-sampling_random_with_overlap.R diff --git a/tests/testthat/test_sampling-sampling_random_without_overlap_bruteforce.R b/tests/testthat/test-sampling-sampling_random_without_overlap_bruteforce.R similarity index 100% rename from tests/testthat/test_sampling-sampling_random_without_overlap_bruteforce.R rename to tests/testthat/test-sampling-sampling_random_without_overlap_bruteforce.R diff --git a/tests/testthat/test_sampling-sampling_random_without_overlap_spatstat.R b/tests/testthat/test-sampling-sampling_random_without_overlap_spatstat.R similarity index 100% rename from tests/testthat/test_sampling-sampling_random_without_overlap_spatstat.R rename to tests/testthat/test-sampling-sampling_random_without_overlap_spatstat.R diff --git a/tests/testthat/test_sampling-sampling_transects().R b/tests/testthat/test-sampling-sampling_transects.R similarity index 100% rename from tests/testthat/test_sampling-sampling_transects().R rename to tests/testthat/test-sampling-sampling_transects.R diff --git a/tests/testthat/test_simulation_functions-classes.R b/tests/testthat/test-simulation_functions-classes.R similarity index 100% rename from tests/testthat/test_simulation_functions-classes.R rename to tests/testthat/test-simulation_functions-classes.R diff --git a/tests/testthat/test_simulation_functions-poisson_process.r b/tests/testthat/test-simulation_functions-poisson_process.r similarity index 100% rename from tests/testthat/test_simulation_functions-poisson_process.r rename to tests/testthat/test-simulation_functions-poisson_process.r diff --git a/tests/testthat/test_simulation_functions-sim_sad().R b/tests/testthat/test-simulation_functions-sim_sad.R similarity index 100% rename from tests/testthat/test_simulation_functions-sim_sad().R rename to tests/testthat/test-simulation_functions-sim_sad.R diff --git a/tests/testthat/test_simulation_functions-thomas_process.r b/tests/testthat/test-simulation_functions-thomas_process.r similarity index 100% rename from tests/testthat/test_simulation_functions-thomas_process.r rename to tests/testthat/test-simulation_functions-thomas_process.r diff --git a/tests/testthat/test-utils.R b/tests/testthat/test-utils.R new file mode 100644 index 0000000..6697337 --- /dev/null +++ b/tests/testthat/test-utils.R @@ -0,0 +1,172 @@ +# tests utility functions +## torusify() — invariants ---- +test_that("torusify.mother_map() output stays within x_min_max and y_min_max", { + mpcoords <- create_motherpoints(s_local = 20L, seed = 42L) + mpcoordsJ <- jitter_motherpoints(mpcoords, sd = 5, seed = 1L) + result <- torusify(mpcoordsJ) + all_x <- unlist(result$xmother) + all_y <- unlist(result$ymother) + expect_true(all(all_x >= result$x_min_max[[1L]] & all_x < result$x_min_max[[2L]])) + expect_true(all(all_y >= result$y_min_max[[1L]] & all_y < result$y_min_max[[2L]])) +}) + +test_that("torusify.community() output stays within x_min_max and y_min_max", { + simdat <- sim_thomas_community(5L, 50L, seed = 42L) + simdatJ <- jitter_species(simdat, sd = 5, seed = 1L) + result <- torusify(simdatJ) + expect_true(all( + result$census$x >= result$x_min_max[[1L]] & + result$census$x < result$x_min_max[[2L]] + )) + expect_true(all( + result$census$y >= result$y_min_max[[1L]] & + result$census$y < result$y_min_max[[2L]] + )) +}) + +test_that("torusify.numeric() output stays within range", { + vals <- stats::runif(50L, min = -3, max = 3) + result <- torusify(vals, range = c(0, 1)) + expect_true(all(result >= 0 & result < 1)) +}) + +## torusify.data.frame() — invariants ---- +test_that("torusify.data.frame() output stays within x_min_max and y_min_max", { + set.seed(1L) + x_min_max <- c(0, 1) + y_min_max <- c(0, 1) + df <- data.frame( + xmother = stats::runif(30L, min = -1, max = 2), + ymother = stats::runif(30L, min = -1, max = 2) + ) + result <- torusify(df, x_min_max = x_min_max, y_min_max = y_min_max) + expect_true(all(result$xmother >= x_min_max[[1L]] & result$xmother < x_min_max[[2L]])) + expect_true(all(result$ymother >= y_min_max[[1L]] & result$ymother < y_min_max[[2L]])) +}) + +## torusify.data.frame() — edge cases ---- +test_that("torusify.data.frame() errors when xmother column is missing", { + df <- data.frame(ymother = stats::runif(10L)) + expect_error( + torusify(df, x_min_max = c(0, 1), y_min_max = c(0, 1)), + "xmother" + ) +}) + +test_that("torusify.data.frame() errors when ymother column is missing", { + df <- data.frame(xmother = stats::runif(10L)) + expect_error( + torusify(df, x_min_max = c(0, 1), y_min_max = c(0, 1)), + "ymother" + ) +}) + +## community2ppp() — structure ---- +test_that("community2ppp() output is class ppp", { + simdat <- sim_thomas_coords(11L:30L, seed = 42L) + result <- community2ppp(simdat) + expect_s3_class(result, "ppp") +}) + +test_that("community2ppp() point count matches community individual count", { + simdat <- sim_thomas_coords(11L:30L, seed = 42L) + result <- community2ppp(simdat) + expect_equal(result$n, nrow(simdat$census)) +}) + +## create_random_ID() — seed and structure ---- +test_that("create_random_ID() works in a fresh-seed context (no prior RNG)", { + # Simulate a fresh session by removing .Random.seed temporarily + old_seed <- if (exists(".Random.seed")) .Random.seed else NULL + on.exit({ + if (!is.null(old_seed)) assign(".Random.seed", old_seed, envir = .GlobalEnv) + }) + rm(".Random.seed", envir = .GlobalEnv) + expect_no_error(create_random_ID(seed = 1L)) +}) + +test_that("create_random_ID() n > 1 returns correct length and format", { + result <- create_random_ID(n = 5L, seed = 1L) + expect_length(result, 5L) + expect_true(all(nchar(result) == 10L)) + expect_true(all(grepl(pattern = "^[A-Z]{5}[0-9]{4}[A-Z]$", x = result))) +}) + +## torusify() — snapshots ---- +test_that("torusify() - mother_map method - default snapshot 0-1 range", { + mpcoords <- create_motherpoints(s_local = 20L, seed = 42L) + mpcoordsJ <- jitter_motherpoints(mpcoords, sd = 3, seed = 42L) + expect_snapshot(torusify(mpcoordsJ)) +}) + +test_that("torusify() - mother_map method - wild range snapshot", { + mpcoords <- create_motherpoints( + s_local = 20L, + xrange = c(8, 10), + yrange = c(-1, 1), + seed = 42L + ) + mpcoordsJ <- jitter_motherpoints(mpcoords, sd = 3, seed = 42L) + expect_snapshot(torusify(mpcoordsJ)) +}) + +test_that("torusify() - community method - wild range snapshot", { + simdat <- sim_thomas_community( + 10L, + 10L, + xrange = c(8, 10), + yrange = c(-1, 1), + seed = 42L + ) + simdatJ <- jitter_species(simdat, sd = 3, seed = 42L) + expect_snapshot(torusify(simdatJ)) +}) + +test_that("torusify() - data.frame method - wild range snapshot", { + set.seed(42L) + x_min_max <- c(8, 10) + y_min_max <- c(-1, 1) + mpcoords <- data.frame( + xmother = stats::runif( + 20L, + min = x_min_max[1L] - 1, + max = x_min_max[2L] + 1 + ), + ymother = stats::runif( + 20L, + min = y_min_max[1L] - 1, + max = y_min_max[2L] + 1 + ) + ) + expect_snapshot(torusify(mpcoords, x_min_max, y_min_max)) +}) + +test_that("torudify() - numeric method - wild range snapshot", { + set.seed(42L) + mpcoords <- stats::runif(10L, min = -2, max = 2) + expect_snapshot(torusify(mpcoords, range = c(0, 1))) +}) + + +## community2ppp() ---- +test_that("community2ppp() default behaviour snapshot", { + simdat <- sim_thomas_coords(11L:100L) + expect_snapshot(community2ppp(simdat)) +}) + +## create_random_ID() ---- +test_that("create_random_ID() default behaviour", { + expect_equal(create_random_ID(seed = 42L), "QEAYJ1252R") +}) + +test_that("create_random_ID() is not affected by global seed", { + set.seed(84L) + expect_false(create_random_ID() == create_random_ID(seed = 84L)) +}) + +test_that("create_random_ID() does not affect global seed", { + set.seed(84L) + reference84 <- .Random.seed + create_random_ID(seed = 42L) + expect_equal(reference84, .Random.seed) +}) diff --git a/vignettes/Biodiversity_Changes.qmd b/vignettes/Biodiversity_Changes.qmd index b2de657..81bc9a2 100644 --- a/vignettes/Biodiversity_Changes.qmd +++ b/vignettes/Biodiversity_Changes.qmd @@ -6,6 +6,10 @@ output: html_document: number_sections: true toc: true +knitr: + opts_chunk: + dpi: 72 + fig.retina: 1 vignette: > %\VignetteIndexEntry{Changes of biodiversity components} %\VignetteEngine{quarto::html} diff --git a/vignettes/Biodiversity_Patterns.qmd b/vignettes/Biodiversity_Patterns.qmd index 0772671..6779412 100644 --- a/vignettes/Biodiversity_Patterns.qmd +++ b/vignettes/Biodiversity_Patterns.qmd @@ -9,6 +9,10 @@ output: collapse: true fig-width: 5 fig-height: 5 +knitr: + opts_chunk: + dpi: 72 + fig.retina: 1 vignette: > %\VignetteIndexEntry{Analysis of biodiversity patterns} %\VignetteEngine{quarto::html} diff --git a/vignettes/Introduction_mobsim.qmd b/vignettes/Introduction_mobsim.qmd index 14be88b..bbe18aa 100644 --- a/vignettes/Introduction_mobsim.qmd +++ b/vignettes/Introduction_mobsim.qmd @@ -9,6 +9,10 @@ output: collapse: true fig-width: 5 fig-height: 5 +knitr: + opts_chunk: + dpi: 72 + fig.retina: 1 vignette: > %\VignetteIndexEntry{Introduction to mobsim} %\VignetteEngine{quarto::html} diff --git a/vignettes/Sampling_communities.qmd b/vignettes/Sampling_communities.qmd index 8c0e0fc..51bccfe 100644 --- a/vignettes/Sampling_communities.qmd +++ b/vignettes/Sampling_communities.qmd @@ -9,6 +9,10 @@ output: collapse: true fig-width: 4.4 fig-height: 5 +knitr: + opts_chunk: + dpi: 72 + fig.retina: 1 vignette: > %\VignetteIndexEntry{Sampling communities with mobsim} %\VignetteEngine{quarto::html} diff --git a/vignettes/Simulating_communities.qmd b/vignettes/Simulating_communities.qmd index cb46933..1fe248d 100644 --- a/vignettes/Simulating_communities.qmd +++ b/vignettes/Simulating_communities.qmd @@ -9,6 +9,10 @@ output: collapse: true fig-height: 4 fig-width: 3.5 +knitr: + opts_chunk: + dpi: 72 + fig.retina: 1 vignette: > %\VignetteIndexEntry{Simulating communities with mobsim} %\VignetteEngine{quarto::html}