## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(codalm) ## ----load_data---------------------------------------------------------------- data("WhiteCells", package = 'ggtern') image <- subset(WhiteCells, Experiment == "ImageAnalysis") image_mat <- as.matrix(image[,c("G", "L", "M")]) microscopic <- subset(WhiteCells, Experiment == "MicroscopicInspection") microscopic_mat <- as.matrix(microscopic[,c("G", "L", "M")]) image_mat <- image_mat / rowSums(image_mat) microscopic_mat <- microscopic_mat / rowSums(microscopic_mat) ## ----estimate_B--------------------------------------------------------------- B_est <- codalm(y = microscopic_mat, x = image_mat) B_est ## ----bootstrap---------------------------------------------------------------- B_ci <- codalm_ci(y = microscopic_mat, x = image_mat, nboot = 50, conf = .95) B_ci$ci_L B_ci$ci_U ## ----bootstrap_parallel------------------------------------------------------- ncores <- 2 Sys.setenv(R_FUTURE_SUPPORTSMULTICORE_UNSTABLE = "quiet") B_ci_parallel <- codalm_ci(y = microscopic_mat, x = image_mat, nboot = 50, conf = .95, parallel = TRUE, ncpus = ncores, strategy = 'multisession') isTRUE(all.equal(B_ci$ci_L, B_ci_parallel$ci_L)) isTRUE(all.equal(B_ci$ci_U, B_ci_parallel$ci_U)) # identical(B_ci$ci_L, B_ci_parallel$ci_L) # identical(B_ci$ci_U, B_ci_parallel$ci_U) ## ----independence_test-------------------------------------------------------- set.seed(123) x <- gtools::rdirichlet(100, rep(1, 3)) y <- gtools::rdirichlet(100, rep(1, 3)) indep_test_pval <- codalm_indep_test(y = y, x = x, nperms = 100, init.seed = 123) indep_test_pval ## ----independence_test_parallel----------------------------------------------- indep_test_pval_parallel <- codalm_indep_test(y = y, x = x, nperms = 100, init.seed = 123, parallel = TRUE, ncpus = ncores, strategy = 'multisession') indep_test_pval_parallel