.agree_confusion

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

.agree_confusion function

<dl><dt>data</dt>
<dd>A tibble.</dd>
<dt>cols</dt>
<dd>The columns holding codings.</dd>
<dt>coders</dt>
<dd>The column holding coders.</dd>
<dt>ids</dt>
<dd>The column holding case identifiers.</dd>
<dt>category</dt>
<dd>Focus category or null.</dd>
<dt>labels</dt>
<dd>If TRUE (default) extracts labels from the attributes, see codebook.</dd></dl>

Arguments

Generate confusion matrix — .agree_confusion

<dl>

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


<dt>cols</dt>
<dd>The columns holding codings.</dd>


<dt>coders</dt>
<dd>The column holding coders.</dd>


<dt>ids</dt>
<dd>The column holding case identifiers.</dd>


<dt>category</dt>
<dd>Focus category or null.</dd>


<dt>labels</dt>
<dd>If TRUE (default) extracts labels from the attributes, see codebook.</dd>

</dl>

.agree_confusion: Generate confusion matrix

Description

Usage

Value

Arguments