summary.nparttestpaired {nparcomp} | R Documentation |
npar.t.test
The function summary.nparttestpaired produces a result summary of npar.t.test.paired
. It
can only be applied to objects of class "nparttestpaired".
## S3 method for class 'nparttestpaired' summary(object,...)
object |
An object of class "nparttestpaired", i.e. the result when
applying |
... |
Arguments to be passed to methods. |
Since summary.nparttestpaired is a S3 method it suffices to use summary(x) as long as x is of class "nparttestpaired". It will be interpreted as summary.nparttestpaired(x).
The function produces a summary of the result of npar.t.test.paired
starting
with some global information: alternative hypothesis, confidence level, interpretation.
This is followed by:
Info |
List of samples and sample sizes. |
Analysis |
Effect: relative effect p(a,b) of the two samples 'a' and 'b', p.hat: estimated relative effect, Lower: Lower limit of the confidence interval, Upper: Upper limit of the confidence interval, T: teststatistic p.value: p-value for the hypothesis by the choosen approximation method. |
You can create a graphical result of the nonparametric paired t-test
by using the function plot.nparttestpaired
.
Frank Konietschke
Munzel, U., Brunner, E. (2002). An Exact Paired Rank Test. Biometrical Journal 44, 584-593.
Konietschke, F., Pauly, M. (2012). A Studentized Permutation Test for the Nonparametric Behrens-Fisher Problem in Paired Data. Electronic Journal of Statistic, Vol 6, 1358-1372.
For further information on the usage of npar.t.test.paired, see npar.t.test.paired
.
## Not run: data(PGI) a<-npar.t.test.paired(PGIscore~timepoint, data = PGI, alternative = "two.sided", info=FALSE, plot.simci=FALSE) summary(a) ## End(Not run)