## ---- include = FALSE--------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(HDMT) ## ----data--------------------------------------------------------------------- data(snp_input) dim(snp_input) data(exercise_input) dim(exercise_input) ## ----input pvalue------------------------------------------------------------- input_pvalues <- snp_input input_pvalues=input_pvalues[sample(1:nrow(input_pvalues),size=ceiling(nrow(input_pvalues)/10)),] ## ----------------------------------------------------------------------------- nullprop <- null_estimation(input_pvalues) nullprop ## ----------------------------------------------------------------------------- pnull1<-adjust_quantile(nullprop$alpha00,nullprop$alpha01,nullprop$alpha10,nullprop$alpha1,nullprop$alpha2,input_pvalues,exact=1) ## ----fig.height=5,fig.width=5------------------------------------------------- pmax <- apply(input_pvalues,1,max) correct_qqplot(pmax, pnull1) ## ----fig.height=5,fig.width=5------------------------------------------------- efdr <- fdr_est(nullprop$alpha00,nullprop$alpha01,nullprop$alpha10,nullprop$alpha1,nullprop$alpha2,input_pvalues,exact=0) plot(pmax[order(pmax)],efdr[order(pmax)],type="l",ylim=c(0,1),xlab="p-max",ylab="Estimated FDR") ## ----------------------------------------------------------------------------- input_pvalues <- exercise_input #To save time, we use 10% of rows input_pvalues=input_pvalues[sample(1:nrow(input_pvalues),size=ceiling(nrow(input_pvalues)/10)),] ## ----------------------------------------------------------------------------- nullprop <- null_estimation(input_pvalues) ## ----------------------------------------------------------------------------- pnull<-adjust_quantile(nullprop$alpha00,nullprop$alpha01,nullprop$alpha10,nullprop$alpha1,nullprop$alpha2,input_pvalues,exact=0) ## ----------------------------------------------------------------------------- pnull1<-adjust_quantile(nullprop$alpha00,nullprop$alpha01,nullprop$alpha10,nullprop$alpha1,nullprop$alpha2,input_pvalues,exact=1) ## ----fig.height=5,fig.width=5------------------------------------------------- pmax <- apply(input_pvalues,1,max) correct_qqplot(pmax, pnull) ## ----fig.height=5,fig.width=5------------------------------------------------- correct_qqplot(pmax, pnull1) ## ----sessionInfo, include=TRUE, echo=TRUE, results='markup'------------------- sessionInfo()