.drop_unused_levels

Drop unused factor levels and report which were removed

internal

Performs valid statistical inference on predicted data (IPD) using recent methods, where for a subset of the data, the outcomes have been predicted by an algorithm. Provides a wrapper function with specified defaults for the type of model and method to be used for estimation and inference. Further provides methods for tidying and summarizing results. Salerno et al., (2025) <doi:10.1093/bioinformatics/btaf055>.

Stephen Salerno

Inference on Predicted Data

Jiacheng Miao

Awan Afiaz

Kentaro Hoffman

Jesse Gronsbell

Jianhui Gao

David Cheng

Anna Neufeld

Qiongshi Lu

Tyler H McCormick

Jeffrey T Leek

.drop_unused_levels function

<dl><dt>data</dt>
<dd>data.frame</dd>
<dt>factor_vars</dt>
<dd>character vector of factor column names</dd></dl>

Arguments

Drop unused factor levels and report which were removed — .drop_unused_levels

<dl>

<dt>data</dt>
<dd>data.frame</dd>


<dt>factor_vars</dt>
<dd>character vector of factor column names</dd>

</dl>

Drop unused factor levels and report which were removed

.drop_unused_levels: Drop unused factor levels and report which were removed

Description

Usage

Value

Arguments