plot.pairwiseCI {pairwiseCI} | R Documentation |
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="", ... )
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. |
Frank Schaarschmidt
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))