toscca (version 0.1.0)

standardVar: Stardardise a matrix

Description

This function stardardises a matrix or a vector and gives the option to centre or normalise (only vectors).

Usage

standardVar(mat, centre = TRUE, normalise = FALSE)

Value

A matrix or vector with the preferred standardarisation

Arguments

mat

Matrix or vector to be standardise.

centre

Logical, if true, cetre to mean zero.

normalise

Logical, if true, performs vector normalisation.

Examples

#sample size etc
N = 10
p = 25
q = 5
# noise
X0 = sapply(1:p, function(x) rnorm(N))
Y0 = sapply(1:q, function(x) rnorm(N))

colnames(X0) = paste0("x", 1:p)
colnames(Y0) = paste0("y", 1:q)

# signal
Z1 = rnorm(N,0,1)


#Some associations with the true signal
alpha = (6:10) / 10
beta  = -(2:3) / 10

loc_alpha = 1:length(alpha)
loc_beta  = 1:length(beta)

for(j in 1:length(alpha))
  X0[, loc_alpha[j]] =  alpha[j] * Z1 + rnorm(N,0,0.3)

for(j in 1:length(beta))
  Y0[, loc_beta[j]] =  beta[j] * Z1 + rnorm(N,0,0.3)

X = standardVar(X0)
Y = standardVar(Y0)