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]