weighted.quantile

Computes the weighted quantiles of a distribution.

 multivariate

 misc 

Description of statistical associations between two variables : measures of local and global association between variables (phi, Cramér V, correlations, eta-squared, Goodman and Kruskal tau, permutation tests, etc.), multiple graphical representations of the associations between two variables (using 'ggplot2') and weighted statistics.

Nicolas Robette

descriptio

Descriptive Statistical Analysis

weighted.quantile function

<dl> <dt>x</dt>
<dd>numeric vector whose sample quantiles are wanted</dd> <dt>weights</dt>
<dd>numeric vector of weights. If NULL (default), uniform weights (i.e. all equal to 1) are used.</dd> <dt>probs</dt>
<dd>numeric vector of probabilities with values in [0,1]</dd> <dt>na.rm</dt>
<dd>logical, indicating whether NA values should be silently removed before the computation proceeds. Default is FALSE.</dd> <dt>names</dt>
<dd>logical. if TRUE, the result has a names attribute. Default is FALSE.</dd></dl>

Arguments

Weighted quantiles — weighted.quantile

<dl>

 <dt>x</dt>
<dd>numeric vector whose sample quantiles are wanted</dd>

 <dt>weights</dt>
<dd>numeric vector of weights. If NULL (default), uniform weights (i.e. all equal to 1) are used.</dd>

 <dt>probs</dt>
<dd>numeric vector of probabilities with values in [0,1]</dd>

 <dt>na.rm</dt>
<dd>logical, indicating whether NA values should be silently removed before the computation proceeds. Default is FALSE.</dd>

 <dt>names</dt>
<dd>logical. if TRUE, the result has a names attribute. Default is FALSE.</dd>

</dl>

weighted.quantile: Weighted quantiles

Description

Usage

Value

Arguments

See Also

Examples