safe_mean

This function is a drop-in replacement for <code>mean</code>, which is used in
<code>cat_summarise</code>. It returns NA rather than NaN when all values are NA.

internal

Functions for tabulating and summarising categorical variables.
Most functions are designed to work with dataframes, and use the 'tidyverse'
idiom of taking the dataframe as the first argument so they work within
pipelines. Equivalent functions that operate directly on vectors are also
provided where it makes sense. This package aims to make exploratory data
analysis involving categorical variables quicker, simpler and more robust.

Oliver Hawkins

tabbycat

Tabulate and Summarise Categorical Data

safe_mean function

<dl><dt>x</dt>
<dd>A numerical vector.</dd>
<dt>na.rm</dt>
<dd>A boolean indicating whether to remove NAs.</dd></dl>

Arguments

Calculate mean but return NA rather than NaN when values are missing — safe_mean

<dl>

<dt>x</dt>
<dd>A numerical vector.</dd>


<dt>na.rm</dt>
<dd>A boolean indicating whether to remove NAs.</dd>

</dl>

safe_mean: Calculate `mean` but return NA rather than NaN when values are missing

Description

Usage

Value

Arguments