RVAideMemoire (version 0.9-54)

spearman.cor.multcomp: 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.

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.

Details

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

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