recol

<code>recol()</code> is a small function which can rename columns and change factors to relevant input

Every research team have their own script for data management, statistics and
most importantly hemodynamic indices. The purpose is to standardize scripts
utilized in clinical research. The hemodynamic indices can be used in a long-format dataframe,
and add both periods of interest (trigger-periods), and delete artifacts with deleter-files.
Transfer function analysis (Claassen et al. (2016) <doi:10.1177/0271678X15626425>) and
Mx (Czosnyka et al. (1996) <doi:10.1161/01.str.27.10.1829>) can be calculated using this package.

Markus Harboe Olsen

clintools

Tools for Clinical Research

Christian Riberholt

Ronan Berg

Kirsten Moeller

Janus Christian Jakobsen

Aksel Karl Georg Jensen

recol function

<dl><dt>df</dt>
<dd>dataframe. (<code>df</code>)</dd>
<dt>old</dt>
<dd>old column name. (<code>string</code>)</dd>
<dt>new</dt>
<dd>new column name. (<code>string</code>)</dd>
<dt>factors</dt>
<dd>Named list of factors. If no names then just in alphabetical order (<code>named list</code>)</dd>
<dt>remove</dt>
<dd>remove old column from dataframe (<code>boolian</code>)</dd>
<dt>na</dt>
<dd>the na.strings (<code>list</code>)</dd></dl>

Arguments

Reorder column (recol) — recol

<dl>

<dt>df</dt>
<dd>dataframe. (<code>df</code>)</dd>


<dt>old</dt>
<dd>old column name. (<code>string</code>)</dd>


<dt>new</dt>
<dd>new column name. (<code>string</code>)</dd>


<dt>factors</dt>
<dd>Named list of factors. If no names then just in alphabetical order (<code>named list</code>)</dd>


<dt>remove</dt>
<dd>remove old column from dataframe (<code>boolian</code>)</dd>


<dt>na</dt>
<dd>the na.strings (<code>list</code>)</dd>

</dl>

recol: Reorder column (recol)

Description

Usage

Value

Arguments

Examples