standardize.genes: Standardization of Predictor Variables
In supclust: Supervised Clustering of Predictor Variables Such as Genes

Description Usage Arguments Value Author(s) See Also

Standardizes each column (gene) of the x-matrix to zero mean and unit variance. This function is not to be called by the user, the standardization is handled internally in pelora.

1	standardize.genes(exmat)

exmat

Numeric matrix of explanatory variables (p variables in columns, n cases in rows). For example, these can be microarray gene expression data which should be standardized and then grouped.

Returns a list containing:

`x`	The standardized `x`-matrix
`means`	Numeric vector of length p, containing the initial mean of each column (gene) of the `x`-matrix.
`sdevs`	Numeric vector of length p, containing the initial standard deviation of each column (gene) of the `x`-matrix.