plot.pairwiseCI {pairwiseCI}R Documentation

Plot function for teh output of pairwiseCI

Description

Easy method for plotting estimates and confidence bounds calculated using pairwiseCI.

Usage

## S3 method for class 'pairwiseCI':
plot(x,
 CIvert=NULL, CIlty = 1, CIlwd=1, CIcex=1,
 H0line=NULL, H0lty=1, H0lwd=1,
 main=NULL, ylab="", xlab="",
 ... )

Arguments

x an object of class "pairwiseCI", the output of function pairwiseCI
CIvert logical, whether confidence intervals shall be plotted vertical if CIvert=TRUE and horizontal if CIvert=FALSE
CIlty integer, giving the line type of the CI, as appropriate in ?par(lty)
CIlwd integer, giving the line width of the CI, as appropriate in ? par(lwd)
CIcex numerical value giving the size of CIsymbols relative to the default value, see ?par(cex)
H0line Value to be plotted as vertical or horizontal line, depending on the value of CIvert
H0lty integer, giving the line type of the CI, as appropriate in ?par(lty)
H0lwd integer, giving the line width of the CI, as appropriate in ? par(lwd)
main as main in plot
ylab label of y-axis as ylab in plot, default is no label
xlab label of x-axis as ylab in plot, default is no label
... Further arguments to be passed to plot. Note, that for adjusting character size in the axes, one must currently adjust par(cex.axis), and some arguments as las, at, labels are defined internally.

Author(s)

Frank Schaarschmidt

Examples


data(Oats)

output <- pairwiseCI(yield ~ Block, data=Oats,
 by="nitro",method="Param.diff", control="I")

# default plot for difference methods:
plot(output)

# some small changes:
plot(output, CIvert=TRUE, H0line=c(-2,0,2), H0lty=c(2,1,2))

output <- pairwiseCI(yield ~ Block, data=Oats,
 by="nitro", method="Param.ratio", control="I")

# default plot for ratio methods:
plot(output)

# some small changes:
plot(output, CIvert=FALSE, H0line=c(0.7, 1, 1/0.7),
 H0lty=c(3,2,3))


[Package pairwiseCI version 0.1-15 Index]