returns a matrix of fold change values — fold_change

Computes the fold change relative to the control sample and returns a matrix with comparisons in columns and peptides in rows. Use this if you want data for a customised heatmap

Usage

fold_change_matrix(
  l,
  log = TRUE,
  base = 2,
  sig_only = FALSE,
  sig_level = 0.05,
  metric = "bootstrap_t_fdr"
)

Arguments

l: list of results, usually from `compare_many()`
log: whether to log the data
base: base used in logging (default = 2)
sig_only: return only rows with 1 or more values significant at `sig_level` of `metric`
sig_level: significance level cutoff
metric: the test metric used to determine significance one of: `bootstrap_t_p_val`, `bootstrap_t_fdr` `wilcoxon_p_val`, `wilcoxon_fdr` `kruskal_p_val`, `kruskal_fdr` `rank_prod_p1_p_val`, `rank_prod_p2_p_val`, `rank_prod_p1_fdr`, `rank_prod_p2_fdr`.

Value

matrix