pairwiseCI (version 0.1-17)

plot.pairwiseCI: Plotting the 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="",
 \dots )

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 documented for cex in ?par

CIlwd

integer, giving the line width of the CI, as documented for lwd ?par

CIcex

numerical value giving the size of CIsymbols relative to the default value, see cex in ?par

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 documented for lty in ?par

H0lwd

integer, giving the line width of the CI, as documented for lwd in ?par

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.

concept

confidence

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))