[R] multcomp plotting Please help :)
I REALLY NEED HELP WITH THIS PLEASE I am using the multcomp package for doing multiple comparisons (R 2.3.1 windows). Since the data I am handling is huge the number of comparisons are also large. I am interested in: 1 Breaking down my plots to get rid of the clutter that happens when plotting the entire data set. How do I pass only part of the data to the plot function ? fungus.cirec-simint(Fungus.yield~Habitat, data=fungus,conf.level=0.95,type =c(Tukey)) plot(fungus.cirec) #This plots the entire data. I want to plot part of the data only 2I am also interested in getting rid of the field name associated with each categorical variable. Here is what the part of the data looks like Habitat Fungus.yield Birch 20.83829053 Birch 22.9718181 Birch 22.28216829 Birch 24.23136797 Birch 22.32147961 Birch 20.30783598 Oak 27.24047258 Oak 29.7730014 Oak 30.12608508 Oak 25.76088669 Oak 30.14750974 Hornbeam 17.05307949 Hornbeam 15.32805111 Hornbeam 18.26920177 Hornbeam 21.30987049 Hornbeam 21.7173223 When it plots labels it as HabitatBirch-HabitatOak for example. How do I get rid of the field name Habitat in the plot? 3 How do I tell the method to mark the significant comparisons? (i.e those that do not intersect the zero line). Thanks ../Murli __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] multcomp plotting Please help :)
On 7/22/06, Nair, Murlidharan T [EMAIL PROTECTED] wrote: I REALLY NEED HELP WITH THIS PLEASE [] __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Suggest you follow the instructions to get better chance of a response. __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
