bar.err {agricolae} | R Documentation |
Plotting the standard error or standard deviance of a multiple comparison of means
Description
It plots bars of the averages of treatments and standard error or standard deviance. It uses the objects generated by a procedure of comparison like LSD, HSD, Kruskal and Waller-Duncan.
Usage
bar.err(x,variation=c("SE","SD","range","IQR"),horiz=FALSE, bar=TRUE,...)
Arguments
x |
object means of the comparisons the LSD.test, HSD.test,...,etc |
variation |
SE=standard error, range=Max-Min or IQR=interquartil range |
horiz |
Horizontal or vertical bars |
bar |
paint bar |
... |
Parameters of the function barplot() |
Details
x: data frame formed by 5 columns: name of the bars, height, level out: LSD.test, HSD, waller.test, scheffe.test, duncan.test, SNK.test, friedman, kruskal, waerden.test and Median.test.
Value
A list with numeric vectors giving the coordinates of all the bar midpoints drawn.
x |
eje-1 coordinate |
height |
eje-2 coordinate by group |
Author(s)
Felipe de Mendiburu
See Also
LSD.test
, HSD.test
,
waller.test
, kruskal
, bar.group
Examples
library(agricolae)
data(sweetpotato)
model<-aov(yield~virus,data=sweetpotato)
out <- waller.test(model,"virus", console=TRUE,
main="Yield of sweetpotato\ndealt with different virus")
oldpar<-par(mfrow=c(2,2),cex=1)
bar.err(out$means,variation="range",horiz=TRUE,xlim=c(0,45),angle=125,density=6,
main="range")
bar.err(out$means,variation="SD",ylim=c(0,45),col=colors()[30],
main="Standard deviation",density=8)
bar.err(out$means,variation="SE",horiz=TRUE,xlim=c(0,45),density=8,
col="brown",main="Standard error")
bar.err(out$means,variation="range",ylim=c(0,45),bar=FALSE,col="green",
main="range")
par(oldpar)
oldpar<-par(mfrow=c(1,2),cex=1)
bar.err(out$means,variation="range",ylim=c(0,45),bar=FALSE,col=0)
abline(h=0)
# horiz = TRUE
bar.err(out$means,variation="SE",horiz=TRUE,xlim=c(0,45),bar=FALSE,col=0)
#startgraph
par(oldpar)
#endgraph