power.cor: Function for sample size calculation for correlation...

In bhklab/genefu: Computation of Gene Expression-Based Signatures in Breast Cancer

Function for sample size calculation for correlation coefficients

Description

This function enables to compute the sample size requirements for estimating pearson, kendall and spearman correlations

Usage

power.cor(rho, w, alpha = 0.05, method = c("pearson", "kendall", "spearman"))

Arguments

rho	Correaltion coefficients rho (Pearson, Kendall or Spearman)
w	a numerical vector of weights of the same length as x giving the weights to use for elements of x in the first class.
alpha	alpha level
method	a character string specifying the method to compute the correlation coefficient, must be one of "pearson" (default), "kendall" or "spearman". You can specify just the initial letter.

Value

sample size requirement

References

Bonett, D. G., and Wright, T. A. (2000). Sample size requirements for estimating pearson, kendall and spearman correlations. Psychometrika, 65(1), 23-28. doi:10.1007/BF02294183

Examples

power.cor(rho=0.5, w=0.1, alpha=0.05, method="spearman")

bhklab/genefu documentation built on June 2, 2022, 2:56 p.m.