FDRestimation (version 1.0.0)

summary.p.fdr: Summary of p.fdr.object

Description

This function summarizes a p.fdr object.

Usage

# S3 method for p.fdr
summary(object, digits = 5, ...)

Arguments

object

A list of output from the p.fdr function.

digits

A numeric value for the number of desired digits in the summary output. Defaults to 3.

...

Additional arguments affecting the summary produced.

Value

A list containing the following components:

Range

The range on the false discovery rates.

Significant Findings

The number of significant findings. Found using the adjusted p-values and the given threshold. This is also the number of times we decide to reject the null hypothesis that the data is generated from a standard normal distribution.

Inconclusive Findings

The number of inconclusive findings. Found using the adjusted p-values and the given threshold. This is also the number of times we fail to reject the null hypothesis that the data is generated from a standard normal distribution.

Assumed/Estimated pi0

the assumed or estimated pi0 value depending on how the p.fdr function was run.

Number of Tests

The total number of multiple comparison tests completed.

Adjustment Method

The adjustment method used in the p.fdr function.

Details

We run into errors or warnings when

References

Rpack:bibtexRdpack

RFDRestimation

murray2020falseFDRestimation

See Also

plot.p.fdr, p.fdr, get.pi0

Examples

# NOT RUN {
# Example 1
pi0 = 0.8
pi1 = 1-pi0
n = 10
n.0 = ceiling(n*pi0)
n.1 = n-n.0

sim.data = c(rnorm(n.1,5,1),rnorm(n.0,0,1))
sim.data.p = 2*pnorm(-abs(sim.data))

fdr.output = p.fdr(pvalues=sim.data.p, adjust.method="BH")

summary(fdr.output)


# }