ScottKnott (version 1.2-7)

plot.SK: Plot SK and SK.nest Objects

Description

S3 method to plot SK and SK.nest objects.

Usage

# S3 method for SK
plot(x,
     pch=19, 
     col=NULL,
     xlab=NULL,
     ylab=NULL,
     xlim=NULL,
     ylim=NULL,
     id.lab=NULL,
     id.las=1,
     id.col=TRUE,
     rl=TRUE,
     rl.lty=3,
     rl.col='gray',
     mm=TRUE,
     mm.lty=1, 
     title="Means grouped by color(s)", …)

Arguments

x

A SK object.

pch

A vector of plotting symbols or characters.

col

A vector of colors for the means representation.

xlab

A label for the x axis.

ylab

A label for the y axis.

xlim

The x limits of the plot.

ylim

The y limits of the plot.

id.lab

Factor level names at x-axis.

id.las

Factor level names written either horizontally or vertically.

id.col

A logical value. If TRUE (the default), the col parameter will be used for the x axis.

rl

Horizontal line connecting the circle to the y-axis.

rl.lty

Line type of rl.

rl.col

Line color of rl.

mm

Vertical line through the circle (mean value) linking the minimum to the maximum of the factor level values corresponding to that mean value.

mm.lty

Line type of mm.

title

A title for the plot.

…

Optional plotting parameters.

Details

The plot.SK function is a S3 method to plot SK and SK.nest objetcs. It generates a serie of points (the means) and a vertical line showing the minimum e maximum of the values corresponding to each group mean. The groups are diferentiated by colors.

References

Murrell, P. 2005. R Graphics. Chapman & Hall/CRC Press.

See Also

plot

Examples

# NOT RUN {
##
## Examples: Completely Randomized Design (CRD)
## More details: demo(package='ScottKnott')
##

library(ScottKnott)
data(CRD2)

## From: vectors x and y
sk1 <- with(CRD2,
            SK(x=x,
               y=y,
               model='y ~ x',
               which='x'))

plot(sk1,
     id.las=2,
     rl=FALSE, 
     title='Factor levels')

## From: design matrix (dm) and response variable (y)
sk2 <- with(CRD2,
            SK(x=dm,
               y=y,
               model='y ~ x',
               which='x'))
plot(sk2,
     col=rainbow(max(sk2$groups)),
     mm.lty=3,
     id.las=2,
     rl=FALSE,
     title='Factor levels')

## From: data.frame (dfm)
sk3 <- with(CRD2,
            SK(x=dfm,
               model='y ~ x',
               which='x'))

plot(sk3,
     col=rainbow(max(sk3$groups)),
     id.las=2,
     id.col=FALSE,
     rl=FALSE)

## From: aov
av <- with(CRD2,
           aov(y ~ x,
               data=dfm))
summary(av)

sk4 <- with(CRD2,
            SK(x=av,
               which='x'))

plot(sk4,
     col=rainbow(max(sk4$groups)),
     rl=FALSE,
     id.las=2,
     id.col=FALSE,
     title=NULL)
# }