tab_rate

Calculate the rates for categorical (factor) or logical variables.

Short and understandable commands that generate tabulated,
formatted, and rounded survey estimates. Mostly a wrapper for the
'survey' package (Lumley (2004) <doi:10.18637/jss.v009.i08>
<https://CRAN.R-project.org/package=survey>) that identifies
low-precision estimates using the National Center for Health
Statistics (NCHS) presentation standards (Parker et al. (2017)
<https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf>,
Parker et al. (2023) <doi:10.15620/cdc:124368>).

Alex Strashny

surveytable

Streamlining Complex Survey Estimation and Reliability
Assessment in R

tab_rate function

<dl><dt>vr</dt>
<dd>variable to tabulate</dd>
<dt>pop</dt>
<dd>either a single number or a <code>data.frame</code> with columns named
<code>Level</code> and <code>Population</code>. <code>Level</code> must
exactly match the levels of <code>vr</code>. <code>Population</code> is the population for that
level of <code>vr</code>.</dd>
<dt>per</dt>
<dd>calculate rate per this many items in the population</dd>
<dt>drop_na</dt>
<dd>drop missing values (<code>NA</code>)?</dd>
<dt>max_levels</dt>
<dd>a categorical variable can have at most this many levels. Used to avoid printing huge tables.</dd></dl>

Arguments

Calculate rates — tab_rate

<dl>

<dt>vr</dt>
<dd>variable to tabulate</dd>


<dt>pop</dt>
<dd>either a single number or a <code>data.frame</code> with columns named
<code>Level</code> and <code>Population</code>. <code>Level</code> must
exactly match the levels of <code>vr</code>. <code>Population</code> is the population for that
level of <code>vr</code>.</dd>


<dt>per</dt>
<dd>calculate rate per this many items in the population</dd>


<dt>drop_na</dt>
<dd>drop missing values (<code>NA</code>)?</dd>


<dt>max_levels</dt>
<dd>a categorical variable can have at most this many levels. Used to avoid printing huge tables.</dd>

</dl>

tab_rate: Calculate rates

Description

Usage

Value

Arguments

See Also

Examples