emartchenko/mvsimstudy: Multivariate Correlated Data Simulation Tools

This package allows you to simulate a two group experiment with a specified number of correlated featured, meant to represent an omics dataset. The package comes with functions to create a customized correlation matrix with strong, medium, weak or no correlation as well as background correlation amongst all features. There are a few options available for analysis after data generation which can be found in the ?analyze documentation. The probability of selecting features which are specified to have effects (effect size specified by user) is summarized and returned as part of a list when the single_scenario_simulation function is run. Options to adjust the number of repetitions completed by the simulation, alpha adjustment function (see ?set.alpha), and a function for run-time testing are are included.

Getting started

Package details

AuthorEkaterina Martchenko
MaintainerRob Balshaw <[email protected]>
LicenseNope
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("emartchenko/mvsimstudy")
emartchenko/mvsimstudy documentation built on April 20, 2018, 2:38 a.m.