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.

Reply via email to