genXdata: Generate continuous model matrix data

In prob: Elementary Probability on Finite Sample Spaces

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

prob documentation built on May 2, 2019, 12:20 p.m.