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

1
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

Author(s)

Benjamin Haibe-Kains

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

1
power.cor(rho=0.5, w=0.1, alpha=0.05, method="spearman")

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