cor.multcomp | R Documentation |
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 the difference is significant, the functions performs pairwise comparisons between coefficients.
cor.multcomp(var1, var2, fact, alpha = 0.05, conf.level = 0.95, theo = 0,
p.method = "fdr")
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 of |
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). |
Maxime HERVE <maxime.herve@univ-rennes1.fr>
cor.test
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)
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