unlist_table

Unlist confound (covariate) and inverse confound (covariate) tables,
turn them into tables

This tool takes longitudinal dataset as input and analyzes if there is significant
change of the features over time (a proxy for treatments), while detects and controls
for 'covariates' simultaneously. 'LongDat' is able to take in several data types as input,
including count, proportion, binary, ordinal and continuous data. The output table contains
p values, effect sizes and 'covariates' of each feature, making the downstream analysis easy.

Chia-Yu Chen

LongDat

A Tool for 'Covariate'-Sensitive Longitudinal Analysis on
'omics' Data

Sofia Forslund

unlist_table function

<dl><dt>x</dt>
<dd>The list to be unlisted and turned into table</dd>
<dt>N</dt>
<dd>Internal function argument.</dd>
<dt>variables</dt>
<dd>Internal function argument.</dd></dl>

Arguments

Unlist confound (covariate) and inverse confound (covariate) tables,
turn them into tables — unlist_table

<dl>

<dt>x</dt>
<dd>The list to be unlisted and turned into table</dd>


<dt>N</dt>
<dd>Internal function argument.</dd>


<dt>variables</dt>
<dd>Internal function argument.</dd>

</dl>

unlist_table: Unlist confound (covariate) and inverse confound (covariate) tables, turn them into tables

Description

Usage

Arguments