genefu (version 2.4.2)

power.cor: 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")