| cor.2comp {RVAideMemoire} | R Documentation |
Comparison of 2 Pearson's linear correlation coefficients
Description
Performs the test for equality of 2 Pearson's correlation coefficients. If the difference is not significant, 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
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. |
p.value |
p-value for comparison of the 2 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. |
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 HERVE <maxime.herve@univ-rennes1.fr>
See Also
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)