No problem. If I have a mixed model with A as within subject (A is exposure, has 2 levels) and drug(2 levels between subject) and strain(2 levels between subject). I reshape the data to fit the R aov() function. thus instead of looking like this: subject drug strain exposure_1 exposure2 1 1 1 34 25 2 2 1 26 22 etc.
it looks like this: subject drug strain exposure dependent 1 1 1 1 34 1 1 1 2 25 etc. and the I do: aov(dependent~(exposure*strain*drug) + Error(subject/exposure) + (drug*strain), data) Thank you very much for your help. Or. On Sun, Dec 20, 2009 at 4:18 PM, Tal Galili <tal.gal...@gmail.com> wrote: > Could you please write the aov formula you are using ? > > > > ----------------Contact > Details:------------------------------------------------------- > Contact me: tal.gal...@gmail.com | 972-52-7275845 > Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | > www.r-statistics.com/ (English) > > ---------------------------------------------------------------------------------------------- > > > > > On Sun, Dec 20, 2009 at 3:36 PM, Or Duek <ord...@gmail.com> wrote: > >> >> I don't think so. >> I'm asking how can I see/analyse the simple main effect. I don't think it >> shows in the summary report of the aov() function. >> >> On Sun, Dec 20, 2009 at 3:35 PM, Tal Galili <tal.gal...@gmail.com> wrote: >> >>> Hi Or, >>> >>> Maybe I didn't understand you. >>> >>> Are you asking "how can I read the output of a fitted (complex within and >>> between) model for finding the simple main effect" ? >>> >>> >>> Tal >>> >>> >>> >>> >>> >>> ----------------Contact >>> Details:------------------------------------------------------- >>> Contact me: tal.gal...@gmail.com | 972-52-7275845 >>> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | >>> www.r-statistics.com/ (English) >>> >>> ---------------------------------------------------------------------------------------------- >>> >>> >>> >>> >>> On Sun, Dec 20, 2009 at 11:56 AM, Or Duek <ord...@gmail.com> wrote: >>> >>>> Thanks. >>>> But there is no simple main effect there. >>>> >>>> >>>> >>>> On Sun, Dec 20, 2009 at 10:00 AM, Tal Galili <tal.gal...@gmail.com>wrote: >>>> >>>>> Try going through this: >>>>> http://www.personality-project.org/r/r.anova.html >>>>> >>>>> <http://www.personality-project.org/r/r.anova.html> >>>>> >>>>> >>>>> ----------------Contact >>>>> Details:------------------------------------------------------- >>>>> Contact me: tal.gal...@gmail.com | 972-52-7275845 >>>>> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) >>>>> | www.r-statistics.com/ (English) >>>>> >>>>> ---------------------------------------------------------------------------------------------- >>>>> >>>>> >>>>> >>>>> >>>>> On Sat, Dec 19, 2009 at 7:27 PM, Or Duek <ord...@gmail.com> wrote: >>>>> >>>>>> Hi, I'm a bit new to R and I would like to know how can I compare >>>>>> simple >>>>>> main effects when using the aov function. >>>>>> I'm doing a mixed model ANOVA with two between subjects variables and >>>>>> one >>>>>> within. >>>>>> When I get an interaction of two of the variables I don't know how to >>>>>> check >>>>>> for simple main effect of that interaction (A at B1 and A at B2 for >>>>>> example). >>>>>> The aov function is very simple but for some reason I can't find how >>>>>> to do >>>>>> this. >>>>>> Thank you very much. >>>>>> Or Duek. >>>>>> >>>>>> [[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. >>>>>> >>>>> >>>>> >>>> >>> >> > [[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.
