generate.data: Simulate multivariate normal data

In dustinfife/fifer: A Biostatisticians Toolbox for Various Activities, Including Plotting, Data Cleanup, and Data Analysis

Description

Simulate multivariate normal data

Usage

generate.data(
  cor.matrix,
  sds = c(1, 1),
  means = c(0, 0),
  names = c("y", "x"),
  n = 100
)

Arguments

cor.matrix	Either a scalar (indicating the correlation between two variables) or a symmetrical matrix for a variance/covariance matrix
sds	The standard deviation of the variables
means	The means of the variables
names	The names of the variables
n	The desired sample size

Details

This function provides an easy way to simulate random multivariate normal data.

Value

A data frame containing the simulated data

Author(s)

Dustin Fife

Examples

generate.data(cor.matrix=.2, sds=c(10, 100), means=c(30, 1000), c("A", "B"), 200)

dustinfife/fifer documentation built on Oct. 31, 2020, 3:36 p.m.