summary_table

<code>summary_table</code> returns a tibble containing a weighted summary table of a single variable.

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

summary_table function

<dl><dt>df</dt>
<dd>The data source</dd>
<dt>variable</dt>
<dd>the variable to summarize, it should be numeric</dd>
<dt>weight</dt>
<dd>The weighting variable</dd>
<dt>name_style</dt>
<dd>the style of the column names--one of "clean" or "pretty."
Clean names are all lower case and words are separated by an underscore.
Pretty names begin with a capital letter are words a separated by a space.</dd></dl>

Arguments

weighted summary table — summary_table

<dl>

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


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


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


<dt>name_style</dt>
<dd>the style of the column names--one of "clean" or "pretty."
Clean names are all lower case and words are separated by an underscore.
Pretty names begin with a capital letter are words a separated by a space.</dd>

</dl>

summary_table: weighted summary table

Description

Usage

Value

Arguments

Details

Examples