DiscreteFDR (version 1.3-4)

hist.DiscreteFDR: Histogram of Raw p-Values

Description

Computes a histogram of the raw p-values of a DiscreteFDR object.

Usage

# S3 method for DiscreteFDR
hist(x, breaks = "FD", plot = TRUE, ...)

Arguments

x

an object of class "DiscreteFDR".

breaks

as in hist; here, the Friedman-Diaconis algorithm("FD") is used as default.

plot

a boolean If TRUE (the default), a histogram is plotted, otherwise a list of breaks and counts is returned.

...

further arguments to hist or plot.histogram, respectively.

Value

An object of class histogram.

Details

This method simply calls hist and passes the raw p-values of the object.

Examples

# NOT RUN {
X1 <- c(4, 2, 2, 14, 6, 9, 4, 0, 1)
X2 <- c(0, 0, 1, 3, 2, 1, 2, 2, 2)
N1 <- rep(148, 9)
N2 <- rep(132, 9)
Y1 <- N1 - X1
Y2 <- N2 - X2
df <- data.frame(X1, Y1, X2, Y2)
df

#Construction of the p-values and their support
df.formatted <- fisher.pvalues.support(counts = df, input = "noassoc")
raw.pvalues <- df.formatted$raw
pCDFlist <- df.formatted$support

DBH <- DBH(raw.pvalues, pCDFlist)
hist(DBH)

# }