circ_corr

Computes a circular correlation coefficient as defined in Jammalamadaka &amp; SenGupta (2001).

Light-weight functions for computing descriptive statistics in different circular spaces (e.g., 2pi, 180, or 360 degrees), to handle angle-dependent biases, pad circular data, and more. Specifically aimed for psychologists and neuroscientists analyzing circular data. Basic methods are based on Jammalamadaka and SenGupta (2001) <doi:10.1142/4031>, removal of cardinal biases is based on the approach introduced in van Bergen, Ma, Pratte, & Jehee (2015) <doi:10.1038/nn.4150> and Chetverikov and Jehee (2023) <doi:10.1038/s41467-023-43251-w>.

Andrey Chetverikov

circhelp

Circular Analyses Helper Functions

Eline Van Geert

circ_corr function

<dl><dt>a</dt>
<dd>first variable</dd>
<dt>b</dt>
<dd>second variable</dd>
<dt>ill_defined</dt>
<dd>is one of the variables mean is not well-defined (e.g., it is uniformly distributed)?</dd>
<dt>mu</dt>
<dd>fix the mean parameter of both vectors to a certain value</dd>
<dt>na.rm</dt>
<dd>a logical value indicating whether NA values should be removed before the computation proceeds</dd></dl>

Arguments

Circular correlation coefficient — circ_corr

<dl>

<dt>a</dt>
<dd>first variable</dd>


<dt>b</dt>
<dd>second variable</dd>


<dt>ill_defined</dt>
<dd>is one of the variables mean is not well-defined (e.g., it is uniformly distributed)?</dd>


<dt>mu</dt>
<dd>fix the mean parameter of both vectors to a certain value</dd>


<dt>na.rm</dt>
<dd>a logical value indicating whether NA values should be removed before the computation proceeds</dd>

</dl>

circ_corr: Circular correlation coefficient

Description

Usage

Value

Arguments

References

Examples