View source: R/boxplot.TukeyC.R
boxplot.TukeyC | R Documentation |
S3 method to plot TukeyC
objects.
## S3 method for class 'TukeyC'
boxplot(x,
mean.type = c('line', 'point', 'none'),
xlab = NULL,
mean.col = 'gray',
mean.pch = 1,
mean.lwd = 1,
mean.lty = 1,
args.legend = NULL, ...)
x |
A |
mean.type |
The type of mean must be ploted. O default is "line". |
xlab |
A label for the ‘x’ axis. |
mean.col |
A vector of colors for the means representation. |
mean.pch |
A vector of plotting symbols or characters. Only if type are "point". |
mean.lwd |
Line width of mean. |
mean.lty |
Line type of mean. Only if type are "line". |
args.legend |
List of additional arguments to be passed to |
... |
Optional plotting parameters. |
The boxplot.TukeyC
function is a S3 method to plot ‘TukeyC’ objetcs. The difference to generic function is the Tukey inference under frame and the plot of means within box.
'NULL' (invisibly). The main purpose of this function is to produce a plot.
Jose Claudio Faria (joseclaudio.faria@gmail.com)
Enio Jelihovschi (eniojelihovs@gmail.com)
Ivan Bezerra Allaman (ivanalaman@gmail.com)
Murrell, P. (2005) R Graphics. Chapman and Hall/CRC Press.
boxplot
##
## Examples: Completely Randomized Design (CRD)
## More details: demo(package='TukeyC')
##
library(TukeyC)
data(CRD1)
## From: formula
# Simple!
tk1 <- TukeyC(y ~ x,
data=CRD1$dfm,
which='x')
boxplot(tk1)
# A little more elaborate!
boxplot(tk1,
mean.lwd=1.3,
mean.col='red')
# A little more!
boxplot(tk1,
mean.lwd=1.3,
mean.lty=2,
mean.col='red',
args.legend=list(x='bottomleft'))
# With point type!
boxplot(tk1,
mean.type='point')
boxplot(tk1,
mean.type='point',
mean.pch=19,
cex=1.5,
mean.col='red')
# With other point
boxplot(tk1,
mean.type='point',
mean.pch='+',
cex=2,
mean.col='blue',
args.legend=list(x='bottomleft'))
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