README.md

In modgo: Mock Data Generation

modgo

modgo is an R package Mock Data Generation (modgo) that may be used for simulating data from existing study data for continuous, ordinal categorical, and dichotomous variables[reference].

Installation

To install modgo from GitHub, run:

library("devtools")
install_github("https://github.com/GeorgeKoliopanos/modgo")

Usage

To see how to use modgo see ?modgo() in R . Below, we present a simple example on how to run.

library(modgo)
data("Cleveland",package="modgo")
test_modgo <- modgo(data = Cleveland,
     bin_variables = c("CAD","HighFastBloodSugar","Sex","ExInducedAngina"),
     categ_variables =c("Chestpaintype"))

modgo documentation built on Sept. 11, 2024, 9:15 p.m.