fold_change_matrix | R Documentation |
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
fold_change_matrix(
l,
log = TRUE,
base = 2,
sig_only = FALSE,
sig_level = 0.05,
metric = "bootstrap_t_fdr"
)
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'. |
matrix
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