| plot.nparcomp {nparcomp} | R Documentation |
nparcomp
This function takes an object of class "nparcomp" and creates a plot of the confidence intervals for the estimated nonparametric contrast effects.
## S3 method for class 'nparcomp' plot(x,...)
x |
An object of class "nparcomp", i.e. the result when
applying |
... |
Arguments to be passed to methods. |
It is not possible to change any parameter set in
the nparcomp-statement.
Since plot.nparcomp is a S3 method it suffices to use plot(x) as long as x is of class "nparcomp". It will be interpreted as plot.nparcomp(x).
plot.nparcomp returns a graph that contains a confidence interval for the estimated
nonparametric contrast effect of each contrast. It just visualizes the result
of the nparcomp-statement.
It is possible to create a graphical result directly
by setting plot.simci=TRUE in the nparcomp-statement.
Frank Konietschke
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.
For further information on the usage of nparcomp, see nparcomp.
data(liver)
a<-nparcomp(weight ~dosage, data=liver, asy.method = "probit",
type = "Williams", alternative = "two.sided",
plot.simci = FALSE, info = FALSE)
plot(a)