RVAideMemoire (version 0.9-6)

cor.2comp: Comparison of 2 Pearson's linear correlation coefficients

Description

Perform the test for equality of 2 Pearson's correlation coefficients. If difference is not significative, the function returns the common coefficient, its confidence interval and performs the test for equality to a given value.

Usage

cor.2comp(var1, var2, var3, var4, alpha = 0.05, conf.level = 0.95, theo = 0)

Arguments

var1

numeric vector (first variable of the first correlation).

var2

numeric vector (second variable of the first correlation).

var3

numeric vector (first variable of the second correlation).

var4

numeric vector (second variable of the second correlation).

alpha

significance level.

conf.level

confidence level.

theo

theoretical coefficient.

Value

• conf.level
  confidence level.
• alpha
  significance level.
• coeffs
  observed Pearson's coefficients.
• u.comp
  test statistics for comparison of the 2 coefficients.
• p.com
  p-value for comparison of the 2 coefficients.
• comp
  data.frame of results for comparison or the 2 coefficients.
• r.comm
  common correlation coefficient.
• r.theo
  theoretical coefficient.
• u.comm
  test statistics for equality of the common coefficient to the theoretical value.
• p.comm
  p-value for equality of the common coefficient to the theoretical value.
• comm
  data.frame or results for equality of the common coefficient to the theoretical value.

See Also

cor.test

Examples

cor1.var1<-1:30+rnorm(30,0,2)
cor1.var2<-1:30+rnorm(30,0,3)
cor2.var1<-(-1):-30+rnorm(30,0,2)
cor2.var2<-(-1):-30+rnorm(30,0,3)
cor.2comp(cor1.var1,cor1.var2,cor2.var1,cor2.var2)