plotCI.methods {pairwiseCI} | R Documentation |
Plot confidence intervals
Description
Creates plot of confidence intervals calculated by calling "pairwiseMEP".
Usage
## S3 method for class 'pairwiseCI'
plotCI(x, ...)
## S3 method for class 'pairwiseMEP'
plotCI(x, whichep = NULL, ...)
Arguments
x |
an object of class 'pairwiseMEP' or 'pairwiseCI' |
whichep |
an optional vector of character strings (or integers); specifying the names (or indices in the element conf.int of the list returned by pairwiseMEP) of those response variables for which the confidence intervals shall be plotted |
... |
further arguments to be passed to plotCI in package MCPAN, see ?plotCI for details |
Value
A plot.
Examples
x1<-rnorm(120,20,2)
x2<-rnorm(120,100,8)
x3<-rpois(120,10)
A<-rep(c("a1","a2","a3"), c(40,40,40))
B<-rep(rep(c("b1","b2"), c(20,20)), times=3)
dat<-data.frame(x1=x1,x2=x2,x3=x3,A=A, B=B)
test<-pairwiseMEP(x=dat, ep=c("x1","x2","x3"),
f="A", by="B", conf.level=0.9, control="a1",
method=c("Param.ratio","Param.ratio","Poisson.ratio"))
plotCI(test, whichep=c("x1","x2"), lines=c(0.8,1.25))
plotCI(test, whichep=c(1,2,3))
[Package pairwiseCI version 0.1-27 Index]