data.scale {mht} | R Documentation |
Scale the data so each column has mean 0 and variance 1. This function is used as a pre-processing step to prep the data for analysis in all functions of the mht
package.
data.scale(data,warning)
data |
Input matrix of dimension n * p; each row is an observation vector. The intercept should be included in the first column as (1,...,1). If not, it is added. |
warning |
Logical value. A warning message is printed if the intercept is added. Default is TRUE. |
Scale the data so each column has mean 0 and variance 1. If we note x
a column of the output scaled matrix -except the first one which is the intercept, we have sum(x)=0
and sum(x^2)/n=1
.
data |
Scaled data. |
intercept |
Logical value. TRUE if the intercept was already included in the input data. |
means.data |
Vector of means of the input data matrix. |
sigma.data |
Vector of variances of the input data matrix. |
Multiple hypotheses testing for variable selection; F. Rohart 2011
## Not run: x=matrix(rnorm(100*20),100,20) res=data.scale(x) x.scaled=res$data means.x=res$means.data sigma.x=res$sigma.data ## End(Not run)