get_top_table {crossmeta}R Documentation

Get top table

Description

Get top table

Usage

get_top_table(
  lm_fit,
  groups = c("test", "ctrl"),
  with.es = TRUE,
  robust = FALSE
)

Arguments

lm_fit

Result of run_limma

groups

Test and Control group as strings.

with.es

Add 'dprime' and 'vardprime' from effectsize? Default is TRUE.

robust

logical, should the estimation of df.prior and var.prior be robustified against outlier sample variances?

Value

result of toptable

[Package crossmeta version 1.20.0 Index]