I don't have missing data. about what I need. Lets say the drug*strain interaction is significant - now I want to check for drug under the levels of strain - compare drug 1 and 2 only on strain 1 and then only on strain 2. Or I'd like to compare the strains under levels of exposure. This is the kind of data I fail to see in summary() but it is important to understand the interactions. thank you.
On Sun, Dec 20, 2009 at 5:52 PM, Tal Galili <tal.gal...@gmail.com> wrote: > Also, do you have any missing data ? > > 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 5:52 PM, Tal Galili <tal.gal...@gmail.com> wrote: > >> 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.
