| FDRsampsize-package {FDRsampsize} | R Documentation |
An R package to Perform Power and Sample Size Calculations for Microarray Studies
Description
A general approach to performing power and sample size calculations for microarray studies has been developed in the literature. However, the software associated with those articles implements the approach only for studies that will perform the t-test or one-way ANOVA to compare gene expression across two or more groups. Here, we describe a set of R routines that implement the general method for power and sample size calculations for a wider variety of statistical tests. These routines accept the name of a function that computes the power for the statistical test of interest and thus have the flexibility to perform calculations for virtually any statistical test with a known power formula.
Details
| Package: | FDRsampsize |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2016-01-06 |
| License: | GPL(>=2) |
Author(s)
Stan Pounds <stanley.pounds@stjude.org>
References
A Onar-Thomas, S Pounds. FDRsampsize: An R package to Perform Generalized Power and Sample Size Calculations for Planning Studies that use the False Discovery Rate to Measure Significance, Manuscript 2016.
Pounds, Stan, and Cheng Cheng. "Sample size determination for the false discovery rate." Bioinformatics 21.23 (2005): 4263-4271.
Jung, Sin-Ho. "Sample size for FDR-control in microarray data analysis." Bioinformatics 21.14 (2005): 3097-3104.