Hi Darren, Take a look at the effects package. The documentation is good and these articles will help you get oriented: http://www.jstatsoft.org/v08/i15 http://www.jstatsoft.org/v32/i01
Best, Ista On Thu, Aug 1, 2013 at 1:56 AM, Darren Andrew Whitehead <darrenwhitehe...@hotmail.com> wrote: > Hello R Project, > I am having a little trouble with interpreting my GLM results and I wonder if > you may be able to help. > I am doing a generalised linear model in R studio by outcome variable is > binary either effected or not effected. I have my final model structure which > has been validated and fits well. But, I am having some trouble understanding > how to produce graphs and show the results visually. I have one significant > main effect variable which is continuos and I have one 3 way interaction > which is highly significant. My problem is I dont have any idea what to do > next > Please can you help? > Help with either advise on how to preform these visual interpretations or > introduce someone to me who might be willing to do the analysis for me if i > sent them my data and script. For this I would offer payment for there time- > Have a great day, > Kindest regards, > Darren > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org 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. ______________________________________________ R-help@r-project.org 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.
