plot.pairwiseCI function

Plotting the output of pairwiseCI

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

## 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))