labs_replace

Replace item value names in a column by their labels

internal

Craft polished tables and plots in Markdown reports.
Simply choose whether to treat your data as counts or metrics,
and the package will automatically generate well-designed default tables and plots for you.
Boiled down to the basics, with labeling features and simple interactive reports.
All functions are 'tidyverse' compatible.

Jakob Jünger

volker

High-Level Functions for Tabulating, Charting and Reporting
Survey Data

Henrieke Kotthoff

Chantal Gärtner

labs_replace function

<dl><dt>data</dt>
<dd>A tibble.</dd>
<dt>col</dt>
<dd>The column holding item values.</dd>
<dt>codes</dt>
<dd>The codebook to use: A tibble with the columns
value_name and value_label.
Can be created by the codebook function, e.g. by calling
<code>codes &lt;- codebook(data, myitemcolumn)</code>.</dd>
<dt>col_from</dt>
<dd>The tidyselect column with source values, defaults to value_name.
If the column is not found in the codebook, the first column is used.</dd>
<dt>col_to</dt>
<dd>The tidyselect column with target values, defaults to value_label.
If the column is not found in the codebook, the second column is used</dd>
<dt>na.missing</dt>
<dd>By default, the column is converted to a factor with levels combined from the codebook and the data.
Set na.missing to TRUE to set all levels not found in the codes to NA.</dd></dl>

Arguments

Replace item value names in a column by their labels — labs_replace

<dl>

<dt>data</dt>
<dd>A tibble.</dd>


<dt>col</dt>
<dd>The column holding item values.</dd>


<dt>codes</dt>
<dd>The codebook to use: A tibble with the columns
value_name and value_label.
Can be created by the codebook function, e.g. by calling
<code>codes &lt;- codebook(data, myitemcolumn)</code>.</dd>


<dt>col_from</dt>
<dd>The tidyselect column with source values, defaults to value_name.
If the column is not found in the codebook, the first column is used.</dd>


<dt>col_to</dt>
<dd>The tidyselect column with target values, defaults to value_label.
If the column is not found in the codebook, the second column is used</dd>


<dt>na.missing</dt>
<dd>By default, the column is converted to a factor with levels combined from the codebook and the data.
Set na.missing to TRUE to set all levels not found in the codes to NA.</dd>

</dl>

labs_replace: Replace item value names in a column by their labels

Description

Usage

Value

Arguments