[BioC] Question about F test in limma
Claus-Dieter Mayer
claus at bioss.ac.uk
Mon Apr 28 18:44:29 CEST 2008
Dear Lisa,
no this is not a chance finding. Whether you include all 3 possible
contrasts or just the two you specify below: if all contrasts are zero
this is equivalent to the overall null hypothesis that all 3 treatment
means are the same, i.e. the F-test is testing the same hypothesis in
both cases and thus gives the same p-value.
Best Wishes
Claus
Lisa Mijung Chung wrote:
> Dear limma expert,
>
> Thank you very much for your prompt reply. After I had sent you
> previous email, I tried with both methods just for my curiosity and
> got the same result. I am wondering if it happens to my data by chance
> or limma calculates moderated F stat by considering all targets
> specified on contrast matrix as different treatment groups, i.e. all
> RNA1, RNA2, and RNA3 appear on (anyways)
>
>> makeContrasts(RNA2-RNA1, RNA3-RNA2)
>>
> Thanks, again,
>
> Sincerely,
> Lisa C.
>
>
> On Wed, Apr 23, 2008 at 9:13 PM, Dejian Zhao <zhaodj at ioz.ac.cn> wrote:
>
>> I think you should make all pairwise comparisons.
>> Your H0 (no difference) means that all the targets show no
>> difference. Therefore you should check them pairwise thoroughly.
>>
>>
>>
>> On Thu, Apr 24, 2008 09:26, Lisa Mijung Chung wrote:
>> > Dear limma expert,
>> > I have a question about performing F-test (with several groups) on
>> > limma.
>> > If I have 3 targets (using Affy chips) called RNA1, RNA2, RNA3 and
>> > want to get F statistic to test
>> > H0: no difference vs. H1: at least one target is different,
>> > (Similar with example on Section 8.6 of limma user guide at
>> > pp.42-43)
>> >
>> > Should I construct my contrast matrix:
>> >> makeContrasts(RNA2-RNA1, RNA3-RNA2, RNA3-RNA1) # with all pairwise
>> >> comparisons
>> >
>> > or would it be fine only with:
>> >> makeContrasts(RNA2-RNA1, RNA3-RNA2) # comparisons of
>> >> two adjacent pairs
>> >
>> > With best wishes,
>> > Thank you.
>> >
>> >
>> > --
>> > Lisa Mijung Chung
>> > Graduate Student, Biostat Trainee
>> > Department of Statistics, UW-Madison
>> > Web: www.stat.wisc.edu/~lchung
>> >
>> > _______________________________________________
>> > Bioconductor mailing list
>> > Bioconductor at stat.math.ethz.ch
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>> > Search the archives:
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>> >
>>
>>
>> --
>> De-Jian Zhao
>> Institute of Zoology,Chinese Academy of Sciences
>> +86-10-64807217
>> zhaodj at ioz.ac.cn
>>
>>
>
>
>
>
--
***********************************************************************************
Dr Claus-D. Mayer | http://www.bioss.ac.uk
Biomathematics & Statistics Scotland | email: claus at bioss.ac.uk
Rowett Research Institute | Telephone: +44 (0) 1224 716652
Aberdeen AB21 9SB, Scotland, UK. | Fax: +44 (0) 1224 715349
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