Plotting the multiple comparison of means

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.

x: data frame formed by 5 columns: name of the bars, height and level of the bar.

bar.group(x, horiz = FALSE, ...)

# S3 method for default
bar.group(x, horiz = FALSE, ...)

Arguments

x	Object created by a test of comparison
horiz	Horizontal or vertical bars
...	Parameters of the function barplot()

Value

A list with numeric vectors giving the coordinates of all the bar midpoints drawn.

x eje-1 coordinate #' @return height eje-2 coordinate by group

See also

LSD.test, HSD.test, kruskal , friedman, durbin.test, waller.test , plot.group

Examples

# Example 1
library(agricolae)
data(sweetpotato)
model<-aov(yield~virus,data=sweetpotato)
comparison<- LSD.test(model,"virus",alpha=0.01,group=TRUE)
print(comparison$groups)
#>       yield groups
#> oo 36.90000      a
#> ff 36.33333      a
#> cc 24.40000     ab
#> fc 12.86667      b
oldpar<-par(cex=1.5)
bar.group(comparison$groups,horiz=TRUE,density=8,col="blue",border="red", xlim=c(0,50),las=1)
title(cex.main=0.8,main="Comparison between\ntreatment means",xlab="Yield",ylab="Virus")
# Example 2
library(agricolae)
x <- 1:4
y <- c(0.29, 0.44, 0.09, 0.49)
xy <- data.frame(x,y,y)
par(oldpar)
oldpar<-par(cex=1.5)
bar.group(xy,density=30,angle=90,col="brown",border=FALSE,ylim=c(0,0.6),lwd=2,las=1)
par(oldpar)