wtd.quantile

<code>wtd.quantile</code> computes quantiles from a numeric vector using observation weights.

quantiles

weights

Provides a variety of functions for producing simple weighted statistics, such as weighted Pearson's correlations, partial correlations, Chi-Squared statistics, histograms, and t-tests as well as simple weighting graphics including weighted histograms, box plots, bar plots, and violin plots.  Also includes software for quickly recoding survey data and plotting estimates from interaction terms in regressions (and multiply imputed regressions) both with and without weights and summarizing various types of regressions. Some portions of this package were assisted by AI-generated suggestions using OpenAI's GPT model, with human review and integration.

Josh Pasek

Weighting and Weighted Statistics

Alex Tahk

Gene Culter

Marcus Schwemmle

wtd.quantile function

<dl> <dt>x</dt>
<dd>Numeric vector of values.</dd> <dt>weight</dt>
<dd>Optional numeric vector of weights.</dd> <dt>probs</dt>
<dd>Numeric vector of quantile probabilities (between 0 and 1).</dd> <dt>na.rm</dt>
<dd>Logical. If <code>TRUE</code>, removes missing values.</dd></dl>

Arguments

Author

Weighted quantiles — wtd.quantile

<dl>

 <dt>x</dt>
<dd>Numeric vector of values.</dd>

 <dt>weight</dt>
<dd>Optional numeric vector of weights.</dd>

 <dt>probs</dt>
<dd>Numeric vector of quantile probabilities (between 0 and 1).</dd>

 <dt>na.rm</dt>
<dd>Logical. If <code>TRUE</code>, removes missing values.</dd>

</dl>

wtd.quantile: Weighted quantiles

Description

Usage

Value

Arguments

Author

See Also

Examples