Thanks Or, So I am failing to understand, When you put that aov expression into the "summary()" Why isn't what you are getting what you need ?
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 4:30 PM, Or Duek <ord...@gmail.com> wrote: > 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.
