sd.default

sd.data.frame

The <code>sd</code> function from the base is replace by a new
<code>method</code> in order to report the standard deviation of circular data
appropriately. <code>sd.default</code> is an alias of the original function
<code>sd</code> see <code><a href="/link/sd?package=circular&version=0.5-1" data-mini-rdoc="circular::sd">sd</a></code>. The behavior would be the same
for objects which are not from <code><a href="/link/class?package=circular&version=0.5-1" data-mini-rdoc="circular::class">class</a></code>
<code><a href="/link/data.frame?package=circular&version=0.5-1" data-mini-rdoc="circular::data.frame">data.frame</a></code> and <code>circular</code> (in the last case
the standard deviation is define as in Mardia (1972) $$\sqrt{-2\ln r}$$ where <code>r</code> is the mean resultant length of
the data, see <code>sd.circular</code> for more details). The method for
<code>data.frame</code> will apply the <code>sd</code> function to each columns.

univar

Circular Statistics, from "Topics in circular Statistics" (2001) S. Rao Jammalamadaka and A. SenGupta, World Scientific.

Eduardo Portugues

circular

Circular Statistics

Ulric Lund

Claudio Agostinelli

Hiroyoshi Arai

Alessando Gagliardi

Eduardo García-Portugués

Dimitri Giunchi

Jean-Olivier Irisson

Matthew Pocernich

Federico Rotolo

sd function

<dl> <dt>x</dt>
<dd>a numeric vector, matrix or data frame.</dd> <dt>na.rm</dt>
<dd>logical. Should missing values be removed?</dd> <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

The <code>sd</code> function from the base is replace by a new
<code>method</code> in order to report the standard deviation of circular data
appropriately. <code>sd.default</code> is an alias of the original function
<code>sd</code> see <code><a href='https://rdrr.io/r/stats/sd.html'>sd</a></code>. The behavior would be the same
for objects which are not from <code><a href='https://rdrr.io/r/base/class.html'>class</a></code>
<code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></code> and <code>circular</code> (in the last case
the standard deviation is define as in Mardia (1972) $$\sqrt{-2\ln r}$$ where <code>r</code> is the mean resultant length of
the data, see <code>sd.circular</code> for more details). The method for
<code>data.frame</code> will apply the <code>sd</code> function to each columns.

Standard Deviation — sd

<dl>

 <dt>x</dt>
<dd>a numeric vector, matrix or data frame.</dd>

 <dt>na.rm</dt>
<dd>logical. Should missing values be removed?</dd>

 <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

sd: Standard Deviation

Description

Usage

Arguments

See Also