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Last data update: 2014.03.03

R: Summary statistics for circular data.

circ.summary

R Documentation

Summary statistics for circular data.

Description

It produces a few summary measures for circular data.

Usage

circ.summary(u, rads = FALSE, plot = TRUE)

Arguments

`u`	The circular data.
`rads`	If the data are in rads, then this should be TRUE, otherwise FALSE.
`plot`	If you want to see the data plotted on a cicrle make this TRUE.

Details

It returns the circular mean, mean resultant length, variance, standard deviation and concentration parameter. So, basically it returns the estimated values of the parameters of the von Mises distribution.

Value

A list including:

`mesos`	The circular mean direction.
`confint`	The 95% confidence interval for the circular mean direction.
`kappa`	The concentration parameter.
`MRL`	The mean resultant length.
`circvariance`	The circular variance.
`circstd`	The circular standard deviation.

Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@yahoo.gr> and Giorgos Athineou <athineou@csd.uoc.gr>

References

Mardia, K. V. and Jupp, P. E. (2000). Directional statistics. Chicester: John Wiley & Sons.

Examples

x <- rvonmises(50, 2.5, 15, rads = TRUE)
circ.summary(x, rads = TRUE, plot = TRUE)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(Directional)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/Directional/circ.summary.Rd_%03d_medium.png", width=480, height=480)
> ### Name: circ.summary
> ### Title: Summary statistics for circular data.
> ### Aliases: circ.summary
> ### Keywords: Summary statistics Von Mises distribution
> 
> ### ** Examples
> 
> x <- rvonmises(50, 2.5, 15, rads = TRUE)
> circ.summary(x, rads = TRUE, plot = TRUE)
$mesos
[1] 2.486222

$confint
[1] 2.483557 2.488887

$kappa
[1] 12.08629

$MRL
[1] 0.9576931

$circvariance
[1] 0.0423069

$circstd
[1] 0.2940337

> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>