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

Description Usage Arguments Value Author(s) References Examples

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")

Example output

Loading required package: survcomp
Loading required package: survival
Loading required package: prodlim
Loading required package: mclust
Package 'mclust' version 5.3
Type 'citation("mclust")' for citing this R package in publications.
Loading required package: limma
Loading required package: biomaRt
Loading required package: iC10
Loading required package: pamr
Loading required package: cluster
Loading required package: iC10TrainingData
Loading required package: AIMS
Loading required package: e1071
Loading required package: Biobase
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following object is masked from 'package:limma':

    plotMA

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colMeans, colSums, colnames, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, lengths, mapply, match, mget, order, paste, pmax, pmax.int,
    pmin, pmin.int, rank, rbind, rowMeans, rowSums, rownames, sapply,
    setdiff, sort, table, tapply, union, unique, unsplit, which,
    which.max, which.min

Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

spearman 
      54 

genefu documentation built on Nov. 1, 2018, 2:25 a.m.