easyanova (version 11.0)

m.plot: Plot Means

Description

Plot contrasts of means

Usage

m.plot(data,  s="sd",test="tukey", family="Times", bg="white",  cex.text=0.7, 
cex=0.5,bar.order=2, decreasing=TRUE, xlab="treatments", ylab="",pch=19, ...)

Value

Returns plots of means

Arguments

data

output object of ea1 or ea2 function (see examples)

s

s="sd" (defalt) plot standard deviation s="sem" plot standard error of mean

test

Letters of the post-hoc test test="tukey" (default) test="snk" test="duncan" test="t" test="scott_knott"

family

font of plot

bg

background color

cex.text

font size in letters and means

cex

font size in points

bar.order

order of bar or means 1 = order of treatments names 2 = order of the means (default)

decreasing

decreasing bar order (TRUE or FALSE)

xlab

title of x-axis

ylab

title of y-axis

pch

type of points

...

more plot parameters

Author

Emmanuel Arnhold <[e-mail]>

References

KAPS, M. and LAMBERSON, W. R. Biostatistics for Animal Science: an introductory text. 2nd Edition. CABI Publishing, Wallingford, Oxfordshire, UK, 2009. 504p.

See Also

ea1,ea2, box.plot, means.plot, means.plotfat, ic, ic.plot, p.plot

Examples

#data3: Kaps and Lamberson (2009): page 347
#Description:
##Latin square design for test four different treatments on hay intake of fattening steers

data(data3)

r<-ea1(data3, design=3)


#plot
#means
means=r[[2]]
means
m.plot(means, col=gray.colors(4))

#direct
m.plot(r[[2]], col=gray.colors(4))

# more graphical parameters
m.plot(means, col=c(2,7,3,5), bg="white", las=1, cex.text=1,main="Tukey (0.05)", 
family="sans", bar.order=2, decreasing=FALSE);grid(10)

data('data7')
r<-ea2(data7,4)
m.plot(r[[4]], col=c(2,7,3,5), las=1, bg="cornsilk");grid(10)

par(mfrow=c(1,2))
m.plot(r[[8]][1], test="scott_knott",xlab="treatment 1",col=c(2,7,3,5), 
las=2, bg="cornsilk",bar.order=2, decreasing=FALSE);grid(10)
m.plot(r[[8]][2], test="scott_knott",xlab="treatment 2", col=c(2,7,3,5), 
las=2, bg="cornsilk", bar.order=2, decreasing=FALSE);grid(10)