optional location value which serves then as the center instead of the origin.
na.action
a function which indicates what should happen when the data
contain 'NA's. Default is to fail.
Details
The covariance matrix S_0 with respect to origin is given for a matrix X with n observations by
S_0=X'X/n.
Value
A matrix.
Author(s)
Klaus Nordhausen
See Also
cov
Examples
set.seed(654321)
cov.matrix <- matrix(c(3,2,1,2,4,-0.5,1,-0.5,2), ncol=3)
X <- rmvnorm(100,c(0,0,0),cov.matrix)
covOrigin(X)
rm(.Random.seed)
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(ICS)
Loading required package: mvtnorm
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ICS/covOrigin.Rd_%03d_medium.png", width=480, height=480)
> ### Name: covOrigin
> ### Title: Covariance Matrix with Respect to the Origin
> ### Aliases: covOrigin
> ### Keywords: multivariate
>
> ### ** Examples
>
> set.seed(654321)
> cov.matrix <- matrix(c(3,2,1,2,4,-0.5,1,-0.5,2), ncol=3)
> X <- rmvnorm(100,c(0,0,0),cov.matrix)
> covOrigin(X)
[,1] [,2] [,3]
[1,] 3.902364 2.8767021 1.2631774
[2,] 2.876702 5.1390797 -0.5610806
[3,] 1.263177 -0.5610806 2.2803316
> rm(.Random.seed)
>
>
>
>
>
> dev.off()
null device
1
>