fix_name_fun

Replace the symbols in variable and covariate names in raw input

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

fix_name_fun function

<dl><dt>z</dt>
<dd>A character vector. This is the character vector
that needs to be changed.</dd></dl>

Arguments

Replace the symbols in variable and covariate names in raw input — fix_name_fun

<dl>

<dt>z</dt>
<dd>A character vector. This is the character vector
that needs to be changed.</dd>

</dl>

fix_name_fun: Replace the symbols in variable and covariate names in raw input

Description

Usage

Arguments