plot.group: Plotting the multiple comparison of means

Description

It plots bars of the averages of treatments to compare. It uses the objects generated by a procedure of comparison like LSD, HSD, Kruskall, Waller-Duncan, Friedman or Durbin. It can also display the 'average' value over each bar in a bar chart.

Usage

# S3 method for group
plot(x,variation=c("range","IQR","SE","SD"), decreasing = TRUE,
              horiz=FALSE,col=NULL,xlim=NULL,ylim=NULL,main=NULL,cex=NULL,hy=0,...)

Arguments

x: Object created by a test of comparison
variation: in lines by range, IQR, standard deviation or error
decreasing: Logical, decreasing order of the mean
horiz: Horizontal or vertical image
col: line colors
xlim: optional, axis x limits
ylim: optional, axis y limits
main: optional, main title
cex: optional, group label size
hy: optional, default =0, sum group label position
...: Parameters of the function barplot()

Author

Felipe de Mendiburu

Details

The output is a vector that indicates the position of the treatments on the coordinate axes.

Examples

Run this code

library(agricolae)
data(sweetpotato)
model<-aov(yield~virus,data=sweetpotato)
comparison<- LSD.test(model,"virus",alpha=0.01,group=TRUE)
#startgraph
op<-par(cex=1.5)
plot(comparison,horiz=TRUE,xlim=c(0,50),las=1)
title(cex.main=0.8,main="Comparison between\ntreatment means",xlab="Yield",ylab="Virus")
#endgraph
par(op)