.effect_npmi

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

.effect_npmi function

<dl><dt>data</dt>
<dd>A tibble.</dd>
<dt>col</dt>
<dd>The column holding factor values.</dd>
<dt>cross</dt>
<dd>The column to correlate.</dd>
<dt>labels</dt>
<dd>If TRUE (default) extracts labels from the attributes, see codebook.</dd>
<dt>clean</dt>
<dd>Prepare data by data_clean.</dd>
<dt>smoothing</dt>
<dd>Add pseudocount. Calculate the pseudocount based on the number of trials
to apply Laplace's rule of succession.</dd>
<dt>...</dt>
<dd>Placeholder to allow calling the method with unused parameters from tab_counts.</dd></dl>

Arguments

Calculate nmpi — .effect_npmi

<dl>

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


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


<dt>cross</dt>
<dd>The column to correlate.</dd>


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


<dt>clean</dt>
<dd>Prepare data by data_clean.</dd>


<dt>smoothing</dt>
<dd>Add pseudocount. Calculate the pseudocount based on the number of trials
to apply Laplace's rule of succession.</dd>


<dt>...</dt>
<dd>Placeholder to allow calling the method with unused parameters from tab_counts.</dd>

</dl>

.effect_npmi: Calculate nmpi

Description

Usage

Value

Arguments