mcculloch.Var.test {PairedData} | R Documentation |
McCulloch test of scale for paired samples
Description
Robust test of scale for paired samples based on spearman coefficient (the default, or kendall or pearson) of the transformed D=x-y and S=x+y.
Usage
mcculloch.Var.test(x, ...)
## Default S3 method:
mcculloch.Var.test(x, y = NULL,
alternative = c("two.sided", "less", "greater"),
method= c("spearman","pearson", "kendall"),
exact = NULL,conf.level = 0.95,continuity = FALSE, ...)
## S3 method for class 'paired'
mcculloch.Var.test(x, ...)
Arguments
x |
first sample or object of class paired. |
y |
second sample. |
alternative |
alternative hypothesis. |
method |
a character string indicating which correlation coefficient is to be used for the test. One of "spearman", "kendall", or "pearson", can be abbreviated. |
exact |
a logical indicating whether an exact p-value should be computed. |
conf.level |
confidence level. |
continuity |
logical: if true, a continuity correction is used for Spearman's rho when not computed exactly. |
... |
further arguments to be passed to or from methods. |
Value
A list with class "htest" containing the components of a (Spearman) correlation test.
Author(s)
Stephane CHAMPELY
References
McCulloch, C.E. (1987) Tests for equality of variances for paired data. Communications in Statistics - Theory and Methods, 16, 1377-1391.
See Also
Var.test, grambsch.Var.test
Examples
z<-rnorm(20)
x<-rnorm(20)+z
y<-(rnorm(20)+z)*2
mcculloch.Var.test(x,y)
p<-paired(x,y)
mcculloch.Var.test(p)
# A variation with kendall tau
mcculloch.Var.test(p,method="kendall")
# equivalence with the PitmanMorgan test
mcculloch.Var.test(p,method="pearson")
Var.test(p)