kurtosis

Defined as the ratio of the 4th central moment and the squared
second central moment. Under perfect normality, the kurtosis equals 3.
Put differently, we do not show "excess kurtosis" but rather kurtosis.

Calculates classic and/or bootstrap confidence intervals for
many parameters such as the population mean, variance, interquartile
range (IQR), median absolute deviation (MAD), skewness, kurtosis,
Cramer's V, odds ratio, R-squared, quantiles (incl. median),
proportions, different types of correlation measures, difference in
means, quantiles and medians. Many of the classic confidence intervals
are described in Smithson, M. (2003, ISBN: 978-0761924999). Bootstrap
confidence intervals are calculated with the R package 'boot'. Both
one- and two-sided intervals are supported.

Michael Mayer

confintr

Confidence Intervals

kurtosis function

<dl><dt>z</dt>
<dd>A numeric vector.</dd>
<dt>na.rm</dt>
<dd>Logical flag indicating whether to remove missing values or not.
Default is <code>TRUE</code>.</dd></dl>

Arguments

Pearson's Measure of Kurtosis — kurtosis

<dl>

<dt>z</dt>
<dd>A numeric vector.</dd>


<dt>na.rm</dt>
<dd>Logical flag indicating whether to remove missing values or not.
Default is <code>TRUE</code>.</dd>

</dl>

kurtosis: Pearson's Measure of Kurtosis

Description

Usage

Value

Arguments

See Also

Examples