sample_size: sample_size

In RnaSeqSampleSize: RnaSeqSampleSize

Description

A function to estitamete the sample size for differential expression analysis of RNA-seq data.

Usage

sample_size(
  power = 0.8,
  m = 20000,
  m1 = 200,
  f = 0.1,
  k = 1,
  w = 1,
  rho = 2,
  lambda0 = 5,
  phi0 = 1,
  showMessage = FALSE,
  storeProcess = FALSE
)

Arguments

power	Power to detecte prognostic genes.
m	Total number of genes for testing.
m1	Expected number of prognostic genes.
f	FDR level
k	Ratio of sample size between two groups.
w	Ratio of normalization factors between two groups.
rho	minimum fold changes for prognostic genes between two groups.
lambda0	Average read counts for prognostic genes.
phi0	Dispersion for prognostic genes.
showMessage	Logical. Display the message in the estimation process.
storeProcess	Logical. Store the power and n in sample size or power estimation process.

Details

A function to estitamete the sample size for differential expression analysis of RNA-seq data.

Value

Estimate sample size or a list including parameters and sample size in the process.

Examples

power<-0.8;rho<-2;lambda0<-5;phi0<-0.5;f<-0.01
sample_size(power=power, f=f,rho=rho, lambda0=lambda0, phi0=phi0)

Example output

Loading required package: RnaSeqSampleSizeData
Loading required package: edgeR
Loading required package: limma
[1] 63

RnaSeqSampleSize documentation built on Nov. 8, 2020, 6:54 p.m.