plot.pairwiseCI: Plotting the output of pairwiseCI

In pairwiseCI: Confidence Intervals for Two Sample Comparisons

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 \link{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 axis. Note, that arguments las, at, labels are defined internally and can not be set via ...

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))

pairwiseCI documentation built on May 1, 2019, 6:51 p.m.