| sandvikolsson.Var.test | R Documentation |
Robust test of scale for paired samples based on the absolute deviations from the trimmed means (or medians).
sandvikolsson.Var.test(x, ...)
## Default S3 method:
sandvikolsson.Var.test(x, y = NULL,
alternative = c("two.sided", "less", "greater"),
mu = 0, exact = NULL, correct = TRUE,
conf.int = FALSE, conf.level = 0.95,location=c("trim","median"),tr=0.1, ...)
## S3 method for class 'paired'
sandvikolsson.Var.test(x, ...)
x |
first sample or object of class paired. |
y |
second sample. |
alternative |
alternative hypothesis. |
mu |
the location parameter mu. |
exact |
a logical indicating whether an exact p-value should be computed. |
correct |
a logical indicating whether to apply continuity correction in the normal approximation for the p-value. |
conf.int |
a logical indicating whether a confidence interval should be computed. |
conf.level |
confidence level. |
location |
location parameter for centering: trimmed mean or median. |
tr |
percentage of trimming. |
... |
further arguments to be passed to or from methods. |
The data are transformed as deviations from the trimmed mean: X=abs(x-mean(x,tr=0.1)) and Y=(y-mean(y,tr=0.1)). A wilcoxon signed-rank test is then carried out on X and Y.
A list with class "htest" containing the components of a wilcoxon signed-rank test.
Stephane CHAMPELY
Sandvik, L. and Olsson, B. (1982) A nearly distribution-free test for comparing dispersion in paired samples. Biometrika, 69, 484-485.
Var.test, grambsch.Var.test
z<-rnorm(20) x<-rnorm(20)+z y<-(rnorm(20)+z)*2 sandvikolsson.Var.test(x,y) p<-paired(x,y) sandvikolsson.Var.test(p) # some variations sandvikolsson.Var.test(p,tr=0.2) sandvikolsson.Var.test(p,location="median")