pwrFDR (version 2.8.9)

arg.vals: Extracts the full argument list and call attribute.

Description

Extracts the full argument list and call attribute from an object of class pwr, which is the result of a call to pwrFDR.

Usage

arg.vals(object)

Arguments

object

An object of class <U+2018>pwr<U+2019>, which is the result of a call to pwrFDR

Value

A list with a call component and one component for each of the possible arguments, effect.size, n.sample,r.1, alpha, N.tests, lambda, FDP.control.method, delta, groups, type, grpj.per.grp1, method and control, with defaults filled in.

References

Izmirlian G. (2020) Strong consistency and asymptotic normality for quantities related to the Benjamini-Hochberg false discovery rate procedure. Statistics and Probability Letters; 108713, <doi:10.1016/j.spl.2020.108713>.

Izmirlian G. (2017) Average Power and \(\lambda\)-power in Multiple Testing Scenarios when the Benjamini-Hochberg False Discovery Rate Procedure is Used. <arXiv:1801.03989>

Jung S-H. (2005) Sample size for FDR-control in microarray data analysis. Bioinformatics; 21:3097-3104.

Liu P. and Hwang J-T. G. (2007) Quick calculation for sample size while controlling false discovery rate with application to microarray analysis. Bioinformatics; 23:739-746.

Lehmann E. L., Romano J. P.. Generalizations of the familywise error rate. Ann. Stat.. 2005;33(3):1138<U+2013>1154.

Romano Joseph P., Shaikh Azeem M.. Stepup procedures for control of generalizations of the familywise error rate. Ann. Stat.. 2006;34(4):1850-1873.

Examples

# NOT RUN {
   rslt <- pwrFDR(effect.size = 0.79, n.sample = 46, r.1 = 2000/54675, alpha = 0.15, 
                  N.tests = 1000, FDP.control.method = "Auto")

   arg.vals(rslt)
# }