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]