sdminp_fdr: This function calculates the Step Down minP and report the...

In mqzhanglab/wHC: Goodness of fit Statistics Calculation based on weighted p-values

This function calculates the Step Down minP and report the results, This is downstream analysis for sdminp It implements the improved step-down minP algorithm based on FDR by Ge et al, 2003 (box 5) It requires another function find_rank

Description

This function calculates the Step Down minP and report the results, This is downstream analysis for sdminp It implements the improved step-down minP algorithm based on FDR by Ge et al, 2003 (box 5) It requires another function find_rank

Usage

sdminp_fdr(res_ob, res_perm, tao0 = 0.2)

Arguments

res_ob	is a numeric vectors of statistics
res_perm	is a matrix with each colum is a permuated statistics with the same length as res_ob
tao0	is a proportion threshold that more than tao0, there will expected to be no significant results.

Value

a numeric matrix with adjusted pvalues, the first column is the FDR adjusted pvalues, the second colum is the corresponding q-values

References

Ge, Y., Dudoit, S., & Speed, T. P. (2003). Resampling-based multiple testing for microarray data analysis. Test, 12(1), 1–77. https://doi.org/10.1007/BF02595811

Examples

ob=rnorm(10,2,2)
perm=matrix(rnorm(100,2,2),ncol=10,nrow=10)
sdminp_fdr(ob,perm)

mqzhanglab/wHC documentation built on April 1, 2022, 6:28 p.m.