RVAideMemoire (version 0.9-45-2)

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

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

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).

See Also

cor.test

Examples

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)