Usage
SiegelTukey(x,y,id.col=FALSE,adjust.median=FALSE,rnd=-1,alternative="two.sided",
mu=0 ,paired=FALSE,exact=FALSE,correct=TRUE,conf.int=FALSE,conf.level=0.95,
showresult=TRUE, returnresult=TRUE)
Arguments
y
Data of the second group (if id.col=FALSE) or group indicator (if
id.col=TRUE). In the latter case, y MUST take 1 or 2 to indicate
observations of group 1 and 2, respectively, and x must contain the data for
both groups.
id.col
If FALSE (default), then x and y are the data columns for group 1
and 2, respectively. If TRUE, the y is the group indicator.
adjust.median
Should between-group differences in medians be leveled
before performing the test? In certain cases, the Siegel-Tukey test is
susceptible to median differences and may indicate significant differences
in variability that, in reality, stem from differences in medians.
rnd
Should the data be rounded and, if so, to which decimal? The default
(-1) uses the data as is. Otherwise, rnd must be a non-negative integer.
Typically, this option is not needed. However, occasionally, differences in
the precision with which certain functions return values cause the merging
of two data frames to fail within the SiegelTukey function. Only then
rounding is necessary. This operation should not be performed if it affects
the ranks of observations.
alternative
"one.sided" or "two.sided".
paired
Logical, TRUE=paired, FALSE=not paired.
exact
Logical, TRUE=paired, FALSE=.
correct
Logical, TRUE=paired, FALSE=.
conf.int
Confidence interval.
conf.level
Confidence level.
showresult
Logical, show the result or not.
returnresult
Logical, return the result or not.