wtd_mean

<code>wtd_mean</code> returns the weighted mean of a variable. It's a tidy-compatible
wrapper around stats::weighted.mean().

Calculate common types of tables for weighted survey data.
Options include topline and (2-way and 3-way) crosstab tables of
categorical or ordinal data as well as summary tables of weighted
numeric variables. Optionally, include the margin of error at
selected confidence intervals including the design effect. The
design effect is calculated as described by
Kish (1965) <doi:10.1002/bimj.19680100122> beginning
on page 257. Output takes the form of tibbles (simple data frames).
This package conveniently handles labelled data, such as that
commonly used by 'Stata' and 'SPSS.' Complex survey design is
not supported at this time.

John Johnson

pollster

Calculate Crosstab and Topline Tables of Weighted Survey Data

wtd_mean function

<dl><dt>df</dt>
<dd>The data source</dd>
<dt>variable</dt>
<dd>the variable, it should be numeric</dd>
<dt>weight</dt>
<dd>The weighting variable</dd>
<dt>na.rm</dt>
<dd>Remove NA values or not, defaults to TRUE</dd></dl>

Arguments

weighted mean — wtd_mean

<dl>

<dt>df</dt>
<dd>The data source</dd>


<dt>variable</dt>
<dd>the variable, it should be numeric</dd>


<dt>weight</dt>
<dd>The weighting variable</dd>


<dt>na.rm</dt>
<dd>Remove NA values or not, defaults to TRUE</dd>

</dl>

wtd_mean: weighted mean

Description

Usage

Value

Arguments

Examples