Supported by Dr. Osamu Ogasawara and  providing  . |
|
Last data update: 2014.03.03 |
Summary of
|
object |
An object of class "mctp", i.e. the result when
applying |
... |
Arguments to be passed to methods. |
Details
Since summary.mctp is a S3 method it suffices to use summary(x) as long as x is of class "mctp". It will be interpreted as summary.mctp(x).
Value
The function produces a summary of the result of mctp starting
with some global information: alternative hypothesis, estimation method, type of
contrast, confidence level. This is followed by:
Data.Info |
List of samples and sample sizes and estimated effect per group. |
Contrast |
Contrast matrix. |
Analysis |
Estimator: Estimated relative 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. |
Note
It is possible to create a graphical result of the multiple comparison test
procedure by using the function plot.mctp.
Author(s)
Frank Konietschke
References
F. Konietschke, L.A. Hothorn, E. Brunner: Rank-Based Multiple Test Procedures and Simultaneous Confidence Intervals. Electronic Journal of Statistics, Vol.0 (2011) 1-8.
See Also
For further information on the usage of mctp, see mctp.
Examples
data(liver)
a<-mctp(weight ~dosage, data=liver, asy.method = "fisher",
type = "Dunnett", alternative = "two.sided", plot.simci = FALSE,
info = FALSE)
summary(a)
Results