This function allows one to view a histogram of the p-values along with
line plots of the q-values and local FDR values versus p-values. The pi_0
estimate is also displayed.
Storey JD and Tibshirani R. (2003) Statistical significance for
genome-wide experiments. Proceedings of the National Academy of Sciences,
100: 9440-9445. http://www.pnas.org/content/100/16/9440.full
# import data
data(hedenfalk)
p <- hedenfalk$p
# make histogram
qobj <- qvalue(p)
hist(qobj)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(qvalue)
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/qvalue/hist.qvalue.Rd_%03d_medium.png", width=480, height=480)
> ### Name: hist.qvalue
> ### Title: Histogram of p-values
> ### Aliases: hist, hist.qvalue
> ### Keywords: histogram
>
> ### ** Examples
>
> # import data
> data(hedenfalk)
> p <- hedenfalk$p
>
> # make histogram
> qobj <- qvalue(p)
> hist(qobj)
>
>
>
>
>
>
> dev.off()
null device
1
>