plot.fqvalue: Scatterplot comparing p-value to quantile of informative...

In StoreyLab/fFDR: Functional FDR for multiple hypothesis testing

Description

Construct a scatterplot comparing the p-value to the quantile of the informative variable, coloring points either based on an oracle procedure if it is available or based on the thresholds for the functional qvalue.

Usage

## S3 method for class 'fqvalue'
plot(
  x,
  pi0 = TRUE,
  threshold = c(0.005, 0.01, 0.05, 0.1),
  cloglog = FALSE,
  ...
)

Arguments

x	fqvalue object; an oracle procedure is available if the column oracle is included
pi0	A logical value TRUE/FALSE, indicating whether a second panel of the estimated pi0(z) should be shown underneath the scatterplot (default TRUE)
threshold	Vector of thresholds used for colors on the graph (default c(.005, .01, .05, .1))
cloglog	A logical value TRUE/FALSE, indicating whether the plot should be on a log(-log(pvalue)) scale (default FALSE)
...	Extra arguments (not used)

Value

ggplot object (print to show the plot)

StoreyLab/fFDR documentation built on March 8, 2021, 10:14 p.m.