plotCI.pairwiseMEP {pairwiseCI} | R Documentation |
Creates plot of confidence intervals calculated by calling "pairwiseMEP".
## S3 method for class 'pairwiseMEP': plotCI(x, whichep = NULL, ...)
x |
an object of class 'pairwiseMEP' as can be created by calling pairwiseMEP |
whichep |
an optional vector of character strings (or integers); specifying the names (or indices in x$conf.int ) 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 |
A plot.
x1<-rnorm(120,20,2) x2<-rnorm(120,100,8) x3<-rpois(120,10) x4<-rnbinom(120,mu=10, size=10) A<-rep(c("a1","a2","a3"), c(40,40,40)) B<-rep(rep(c("b1","b2","b3","b4"), c(10,10,10,10)), times=3) dat<-data.frame(x1=x1,x2=x2,x3=x3,x4=x4,A=A, B=B) test<-pairwiseMEP(x=dat, ep=c("x1","x2","x3", "x4"), f="A", by="B") plotCI(test, whichep=c("x1","x2"), lines=c(-5,5)) plotCI(test, whichep=c(3,4))