ScottKnott (version 1.3-3)

boxplot.SK: Boxplot SK Objects

Description

S3 method to plot SK objects.

Usage

# S3 method for SK
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, ...)

Arguments

x

A SK object.

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 legend; The default is NULL.

...

Optional plotting parameters.

Author

Jose Claudio Faria ()
Enio Jelihovschi ()
Ivan Bezerra Allaman ()

Details

The boxplot.SK function is a S3 method to plot SK objetcs. The difference to generic function is the Scott & Knott inference under frame and the plot of means within box.

References

Murrell, P. (2005) R Graphics. Chapman and Hall/CRC Press.

See Also

boxplot

Examples

##
## Examples: Completely Randomized Design (CRD)
## More details: demo(package='SK')
##

library(ScottKnott)
data(CRD1)

## From: formula
# Simple!
sk1 <- SK(y ~ x,
          data=CRD1$dfm,
          which='x')
boxplot(sk1)

# A little more elaborate!
boxplot(sk1,
        mean.lwd=1.3,
        mean.col='red')

# A little more! 
boxplot(sk1,
        mean.lwd=1.3,
        mean.lty=2,
        mean.col='red',
        args.legend=list(x='bottomleft'))

# With point type!
boxplot(sk1,
        mean.type='point')

boxplot(sk1,
        mean.type='point',
        mean.pch=19,
        cex=1.5,
        mean.col='red')

# With other point
boxplot(sk1,
        mean.type='point',
        mean.pch='+',
        cex=2,
        mean.col='blue',
        args.legend=list(x='bottomleft'))