pairwiseCI (version 0.1-17)

plotCI.pairwiseMEP: Plot confidence intervals calculated by "pairwiseMEP"

Description

Creates plot of confidence intervals calculated by calling "pairwiseMEP".

Usage

## S3 method for class 'pairwiseMEP':
plotCI(x, whichep = NULL, ...)

Arguments

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 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.

concept

confidence intervals

Examples

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))