spearman.cor.multcomp: Comparison of several Spearman's rank correlation...

In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

Comparison of several Spearman's rank correlation coefficients

Description

Computes Bonferroni-adjusted confidence intervals of a series of Spearman's rank correlation coefficients, for multiple comparisons. Confidence intervals are computed by bootstraping.

Usage

spearman.cor.multcomp(var1, var2, fact, alpha = 0.05, nrep = 1000)

Arguments

var1	numeric vector (first variable).
var2	numeric vector (second variable).
fact	factor (groups).
alpha	significance level.
nrep	number of replicates for bootstraping.

Details

Confidence intervals which do not overlap indicate correlation coefficients significantly different at alpha.

Value

method	name of the test.
data.name	a character string giving the name(s) of the data.
tab	data frame of correlation coefficients with confidence intervals
alpha	significance level.
nrep	number of replicates for bootstraping.

Author(s)

Maxime HERVE <[e-mail]>

See Also

spearman.ci

Examples

set.seed(1510)
var1 <- c(1:15+rnorm(15,0,2),1:15+rnorm(15,0,2),1:15+rnorm(15,0,2))
var2 <- c(-1:-15+rnorm(15,0,2),1:15+rnorm(15,0,2),1:15+rnorm(15,0,2))
fact <- gl(3,15,labels=LETTERS[1:3])
spearman.cor.multcomp(var1,var2,fact)
# B and C similar but different from A

RVAideMemoire documentation built on Nov. 6, 2023, 5:07 p.m.