remove_cardinal_biases_discrete

Remove cardinal biases for data with orientation (color, motion, ...) set in discrete steps

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

remove_cardinal_biases_discrete function

<dl><dt>err</dt>
<dd>a vector of errors, deviations of response from the true stimuli</dd>
<dt>x</dt>
<dd>a vector of true stimuli in degrees (see space)</dd>
<dt>space</dt>
<dd>circular space to use (a string: <code>180</code> or <code>360</code>)</dd>
<dt>init_outliers</dt>
<dd>a vector determining which errors are initially assumed to be outliers (default: NULL)</dd></dl>

Arguments

Remove cardinal biases for data with orientation (color, motion, ...) set in discrete steps — remove_cardinal_biases_discrete

<dl>

<dt>err</dt>
<dd>a vector of errors, deviations of response from the true stimuli</dd>


<dt>x</dt>
<dd>a vector of true stimuli in degrees (see space)</dd>


<dt>space</dt>
<dd>circular space to use (a string: <code>180</code> or <code>360</code>)</dd>


<dt>init_outliers</dt>
<dd>a vector determining which errors are initially assumed to be outliers (default: NULL)</dd>

</dl>

remove_cardinal_biases_discrete: Remove cardinal biases for data with orientation (color, motion, ...) set in discrete steps

Description

Usage

Value

Arguments