ProcMod (version 1.0.8)

simulate_matrix: Simulate n points of dimension p.

Description

Points are simulated by drawing values of each dimension from a normal distribution of mean 0 and standard deviation equals to 1. The mean of each dimension is forced to 0 (data are centred). By default variable are also scaled to enforce a strandard deviation strictly equal to 1. Covariances between dimensions are not controled. Therefore they are expected to be equal to 0 and reflect only the random distribution of the covariance between two random vectors.

Usage

simulate_matrix(n, p, equal_var = TRUE)

Arguments

n

an int value indicating the number of observations.

p

an int value indicating the number of dimensions (variables) simulated

equal_var

a logical value indicating if the dimensions must be scaled to force sd=1. TRUE by default.

Value

a numeric matrix of n rows and p columns

Examples

# NOT RUN {
sim1 <- simulate_matrix(25,10)
class(sim1)
dim(sim1)

# }