View source: R/compute_sim_voomlike_genewise.R
compute_sim_voomlike_genewise | R Documentation |
Computing simulations results observation-wise
compute_sim_voomlike_genewise( counts, design, indiv, alternative = FALSE, fixed_eff = 0.5, fixed_eff_sd = 0, rand_eff_sd = 0.25, RE_indiv_sd = NULL, eps_sd = 0.05 )
## Not run: rm(list=ls()) data_sims <- data_sim_voomlike(seed=1, do_gs=FALSE) res <- compute_sim_voomlike_genewise(counts = data_sims$counts, design = data_sims$design, indiv = data_sims$indiv, alternative=TRUE, fixed_eff = 0.5, fixed_eff_sd = 0, rand_eff_sd = 0, RE_indiv_sd=NULL) res_all <- cbind(res$res_voom, res$res_perso, res$res_noweights, res$res_DEseq, res$res_edgeR) colnames(res_all) <- c(paste0(rep(c("asym", "perm", "camera", "roast"), 3), rep(c("_voom", "_perso", "_noweights"), each=4)), paste0("DESeq2_minTest_", c("exact", "approx", "CN")), "roast_edgeR") ## End(Not run)
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