plot.nparttest {nparcomp} | R Documentation |
npar.t.test
This function takes an object of class "nparttest" and creates a plot of the confidence interval for the estimated effect.
## S3 method for class 'nparttest' plot(x,...)
x |
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... |
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It is not possible to change any parameter set in
the npar.t.test
-statement.
Since plot.nparttest is a S3 method it suffices to use plot(x) as long as x is of class "nparttest". It will be interpreted as plot.nparttest(x).
plot.npar.t.test returns a graph that contains a confidence interval for the estimated
effect of the nonparametric t-test. It just visualizes the result
of the npar.t.test
-statement.
It is possible to create a graphical result of the nonparametric t-test directly
by setting plot.simci=TRUE in the npar.t.test
-statement.
Frank Konietschke
Brunner, E., Munzel, U. (2000). The Nonparametric Behrens-Fisher Problem: Asymptotic Theory and a Small Sample Approximation. Biometrical Journal 42, 17 -25.
Neubert, K., Brunner, E., (2006). A Studentized Permutation Test for the Nonparametric Behrens-Fisher Problem. Computational Statistics and Data Analysis.
For further information on the usage of npar.t.test, see npar.t.test
.
## Not run: data(impla) a<-npar.t.test(impla~group, data = impla, method = "t.app", alternative = "two.sided", plot.simci=FALSE) plot(a) ## End(Not run)