Supported by Dr. Osamu Ogasawara and  providing  . |
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Last data update: 2014.03.03 |
Summary of
|
object |
An object of class "nparcomp", i.e. the result when
applying |
... |
Arguments to be passed to methods. |
Details
Since summary.nparcomp is a S3 method it suffices to use summary(x) as long as x is of class "nparcomp". It will be interpreted as summary.nparcomp(x).
Value
The function produces a summary of the result of nparcomp starting
with some global information: alternative hypothesis, estimation method, type of
contrast, confidence level, method, interpretation. This is followed by:
Data.Info |
List of samples and sample sizes. |
Contrast |
Contrast matrix. |
Analysis |
Comparison: relative contrast effect , relative.effect: estimated relative contrast effect, Estimator: Estimated relative contrast effect, Lower: Lower limit of the simultaneous confidence interval, Upper: Upper limit of the simultaneous confidence interval, Statistic: Teststatistic p.Value: Adjusted p-values for the hypothesis by the choosen approximation method. |
Overall |
Overall p-value and critical value. |
Note
It is possible to create a graphical result of the nonparametric test procedure nparcomp
by using the function plot.nparcomp.
Author(s)
Frank Konietschke
References
Konietschke, F., Brunner, E., Hothorn, L.A. (2008). Nonparametric Relative Contrast Effects: Asymptotic Theory and Small Sample Approximations.
Munzel. U., Hothorn, L.A. (2001). A unified Approach to Simultaneous Rank Tests Procedures in the Unbalanced One-way Layout. Biometric Journal, 43, 553-569.
See Also
For further information on the usage of nparcomp, see nparcomp.
Examples
data(liver)
a<-nparcomp(weight ~dosage, data=liver, asy.method = "probit",
type = "Williams", alternative = "two.sided",
plot.simci = FALSE, info = FALSE)
summary(a)
Results