circular_summary

Circular mean, standard deviation, variance, quasi-quantiles, 95% confidence
angle, standardized skewness and kurtosis

Models the direction of the maximum horizontal stress using
relative plate motion parameters. Statistical algorithms to evaluate
the modeling results compared with the observed data. Provides plots
to visualize the results. Methods described in Stephan et al. (2023)
<doi:10.1038/s41598-023-42433-2> and Wdowinski (1998)
<doi:10.1016/S0079-1946(98)00091-3>.

Tobias Stephan

tectonicr

Analyzing the Orientation of Maximum Horizontal Stress

circular_summary function

<dl><dt>x</dt>
<dd>numeric vector. Values in degrees.</dd>
<dt>w</dt>
<dd>(optional) Weights. A vector of positive numbers and of the same
length as <code>x</code>.</dd>
<dt>axial</dt>
<dd>logical. Whether the data are axial, i.e. pi-periodical
(<code>TRUE</code>, the default) or directional, i.e. \(2 \pi\)-periodical (<code>FALSE</code>).</dd>
<dt>na.rm</dt>
<dd>logical value indicating whether <code>NA</code> values in <code>x</code>
should be stripped before the computation proceeds.</dd></dl>

Arguments

Circular Summary statistics — circular_summary

<dl>

<dt>x</dt>
<dd>numeric vector. Values in degrees.</dd>


<dt>w</dt>
<dd>(optional) Weights. A vector of positive numbers and of the same
length as <code>x</code>.</dd>


<dt>axial</dt>
<dd>logical. Whether the data are axial, i.e. pi-periodical
(<code>TRUE</code>, the default) or directional, i.e. \(2 \pi\)-periodical (<code>FALSE</code>).</dd>


<dt>na.rm</dt>
<dd>logical value indicating whether <code>NA</code> values in <code>x</code>
should be stripped before the computation proceeds.</dd>

</dl>

circular_summary: Circular Summary statistics

Description

Usage

Value

Arguments

See Also

Examples