ishaandave/dataProc: Simulate A New Dataset Based on Distribution of a Given Dataset

Allows users to input a dataset and sample from the distributions of the variables to create a new dataset that is distributionally similar to the original. Users can sample in a univariate manner or allow 2 variables to be associated and sample from that bivariate distribution. The user is also able to get a list of all categorical variable pairs as well as continuous variable pairs. If they want the p-values between those pairs, that's possible too.

Getting started

Package details

Maintainer
LicenseWhat license is it under?
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("ishaandave/dataProc")
ishaandave/dataProc documentation built on July 24, 2019, 2:37 a.m.