CircularLTS: Compute the robust measure of circular spread: the Circular...
In bpDir: Boxplots for Directional Data
CircularLTS R Documentation
Compute the robust measure of circular spread: the Circular Least Trimmed Standard deviation (CLTS)
Description
Compute the Circular Least Trimmed Standard deviation (Demni et al, 2026)
Usage
CircularLTS(X)
Arguments
X
numeric; a vector of class circular in units=c("radians")
Value
Circular Least Trimmed Standard deviation (CLTS)
Author(s)
Davide Buttarazzi, Houyem Demni
References
Demni et al. (2026), Robust measures of dispersion for circular data with an anomaly detection rule. Under review.
See Also
CircularViolinPlot
Examples
#install.packages("circular")
require(circular)
data1 <- rvonmises(50, circular(pi/2), 5)
CircularLTS(data1)
bpDir documentation built on Nov. 9, 2026, 9:07 a.m.
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| CircularLTS | R Documentation |
Compute the robust measure of circular spread: the Circular Least Trimmed Standard deviation (CLTS)
Description
Compute the Circular Least Trimmed Standard deviation (Demni et al, 2026)
Usage
CircularLTS(X)
Arguments
X |
numeric; a vector of class |
Value
Circular Least Trimmed Standard deviation (CLTS)
Author(s)
Davide Buttarazzi, Houyem Demni
References
Demni et al. (2026), Robust measures of dispersion for circular data with an anomaly detection rule. Under review.
See Also
CircularViolinPlot
Examples
#install.packages("circular")
require(circular)
data1 <- rvonmises(50, circular(pi/2), 5)
CircularLTS(data1)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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