genXdata {probs} | R Documentation |
Generate continuous model matrix data
Description
This function generates correlated normal data to serve as a model matrix in a regression model.
Usage
genXdata(
n,
nvar = 1,
mu = rep(0, nvar),
Sigma = diag(length(mu)),
varnames = paste("x", 1:length(mu), sep = ""),
roundto = NULL
)
Arguments
n |
how many rows |
nvar |
how many columns |
mu |
the mean of the multivariate normal distribution |
Sigma |
the variance-covariance matrix of the normal distribution |
varnames |
how you would like the variables to be named in the result |
roundto |
number of places to round the generated values |
Details
This function generates correlated normal data to serve as a model matrix in a regression model.
Value
A data frame of generated data
Author(s)
G. Jay Kerns
[Package probs version 0.9.9 Index]