See ?par and note the 'mar' parameter
Here's an example:
library(multcomp)
labs <- c('short', 'medium', 'looooooooong')
treatment <- gl(3, 10, labels = labs)
response <- rnorm(30, mean=as.numeric(treatment))
mult <- glht(lm(response ~ treatment),
linfct=mcp(treatment='Means'))
par(mar=c(4,8,4,2))
plot(confint(mult))
hth,
Kingsford Jones
On Mon, Dec 8, 2008 at 5:06 PM, Metconnection <[EMAIL PROTECTED]> wrote:
>
> Dear R-users,
> I'm currently using the multcomp package to produce plots of means with 95%
> confidence intervals
> i.e.
>
> mult<-glht(lm(response~treatment, data=statdata),
> linfct=mcp(treatment="Means"))
> plot(confint(mult,calpha = sig))
>
> Unfortunately the y-axis on the plot appears to be fixed and hence if the
> labels on the y-axis (treatment levels) are too long, then they are not
> displayed in full on the plot. Of course I could always make the labels
> shorter but I was wondering if there was a way to make the position of the
> y-axis on the plot more flexible, such as in the scatterplot produced using
> xyplot function, that would allow me to view the labels in full.
>
> Thanks in advance for any advice!
> Simon
>
> --
> View this message in context:
> http://www.nabble.com/How-to-display-y-axis-labels-in-Multcomp-plot-tp20904977p20904977.html
> Sent from the R help mailing list archive at Nabble.com.
>
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