tensorCentering: Center an Array of Observations
In tensorBSS: Blind Source Separation Methods for Tensor-Valued Observations

Description Usage Arguments Details Value Author(s) Examples

Centers an array of array-valued observations by substracting a location array (the mean array by default) from each observation.

1	tensorCentering(x, location = NULL)

`x`	Array of order at least two with the last dimension corresponding to the sampling units.
`location`	The location to be used in the centering. Either `NULL`, defaulting to the mean array, or a user-specified p_1 x p_2 x ... x p_r-dimensional array.

Centers a p_1 x p_2 x ... x p_r x n-dimensional array by substracting the p_1 x p_2 x ... x p_r-dimensional location from each of the observed arrays.

Array of centered observations with the same dimensions as the input array. The used location is returned as attribute "location".

Joni Virta

## Generate sample data.
n <- 1000
x <- t(cbind(rnorm(n, mean = 0),
             rnorm(n, mean = 1),
             rnorm(n, mean = 2),
             rnorm(n, mean = 3),
             rnorm(n, mean = 4),
             rnorm(n, mean = 5)))
             
dim(x) <- c(3, 2, n)

## Centered data
xcen <- tensorCentering(x)

## Check the means of individual cells
apply(xcen, 1:2, mean)