SampleData: Sample datasets to demonstrate performance of 'superdelta2'...

In fhlsjs/superdelta2: Superdelta procedure for multiple group differential gene expression analysis

Description

This R workspace contains three simulated datasets based on negative binomial Poisson (NBP) distribution. Specifically, SIM1 is obtained from function Sim1. SIM2 and SIM3 are obtained from function Sim2, with different parameters.

Usage

data(SampleData)

Format

Three data matrices each with 150 samples (50 per group) and 5000 genes.

SIM1

An integer-valued matrix simulated by Sim1. For more details see the help page of Sim1.

SIM2

An integer-valued matrix simulated by Sim2. For more details see the help page of Sim2.

SIM3

An integer-valued matrix simulated by Sim2. For more details see the help page of Sim2.

Examples

  ## Load the sample data
  data(SampleData)
  ## Number of genes and samples
  ngenes <- 5000; n1 <- n2 <- n3 <- 50
  Groups <- c(rep("A",n1), rep("B",n2), rep("C",n3))
  mod1 <- superdelta2(mydata = SIM1, offset = 1, Grps = Groups)
  mod2 <- superdelta2(mydata = SIM2, offset = 1, Grps = Groups)
  mod3 <- superdelta2(mydata = SIM3, offset = 1, Grps = Groups)

fhlsjs/superdelta2 documentation built on Sept. 15, 2020, 12:03 a.m.