cor.multcomp: Comparison of several Pearson's linear correlation...

Description Usage Arguments Value Author(s) See Also Examples

View source: R/cor.multcomp.R

Description

Performs comparisons of several Pearson's linear correlation coefficients. If no difference, the function returns the common correlation coefficient, its confidence interval and test for its equality to a given value. If difference is significative, the functions performs pairwise comparisons between coefficients.

Usage

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cor.multcomp(var1, var2, fact, alpha = 0.05, conf.level = 0.95, theo = 0,
  p.method = "fdr")

Arguments

var1

numeric vector (first variable).

var2

numeric vector (second variable).

fact

factor (groups).

alpha

significance level.

conf.level

confidence level.

theo

theoretical coefficient.

p.method

method for p-values correction. See help ofp.adjust.

Value

method.test

a character string giving the name of the global test computed.

data.name

a character string giving the name(s) of the data.

statistic

test statistics.

parameter

test degrees of freedom.

p.value

p-value for comparison of the coefficients.

null.value

the value of the difference in coefficients under the null hypothesis, always 0.

alternative

a character string describing the alternative hypothesis.

estimate

the estimated correlation coefficients.

alpha

significance level.

conf.level

confidence level.

p.adjust.method

method for p-values correction.

p.value.multcomp

data frame of pairwise comparisons result.

common.name

a character string explaining the elements of the table below.

common

data frame of results if the coefficients are not significantly different (common coefficient).

Author(s)

Maxime Herv<e9> <mx.herve@gmail.com>

See Also

cor.test

Examples

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var1 <- c(1:15+rnorm(15,0,4),1:15+rnorm(15,0,1),1:15+rnorm(15,0,8))
var2 <- c(-1:-15+rnorm(15,0,4),1:15+rnorm(15,0,1),1:15+rnorm(15,0,8))
fact <- gl(3,15,labels=LETTERS[1:3])
cor.multcomp(var1,var2,fact)

var3 <- c(1:15+rnorm(15,0,1),1:15+rnorm(15,0,3),1:15+rnorm(15,0,2))
cor.multcomp(var1,var3,fact)

RVAideMemoire documentation built on July 11, 2017, 1:02 a.m.