[BioC] Contrast matrix in limma
Gordon K Smyth
smyth at wehi.EDU.AU
Mon Jul 14 02:26:18 CEST 2014
Dear Kaushal Chaudhary,
The interaction is the contrast:
IA = (diet.nodisease-nodiet.nodisease) - (diet.disease-nodiet.disease)
I don't think that the main effects have any meaningful interpretation
in your experiment. However they are defined by:
Diet = (diet.nodisease-nodiet.nodisease+diet.disease-nodiet.disease)/2
Disease = (nodiet.disease-nodiet.nodisease+diet.disease-diet.nodisease)/2
It's pretty intuitive really. You simply add all the treatment conditions
in which the factor is positive and subtract all the conditions in which
the factor is negative. In other words, the main effect for Diet is just
the average of the Diet effects in the disease and nodisease states
respectively.
Best wishes
Gordon
> Date: Fri, 11 Jul 2014 09:12:27 -0700 (PDT)
> From: "kaushal Chaudhary [guest]" <guest at bioconductor.org>
> To: bioconductor at r-project.org, kaushal2040 at gmail.com
> Subject: [BioC] Contrast matrix in limma
>
> Hello,
>
> In my micro array expriemt, I have four different types of samples (nodiet.nodisease, nodiet.disease, diet.nodisease, and diet.disease). I want to make the following 5 comparisons.
> Diet.nodisease vs. nodiet.nodisease (effect of diet in no disease)
> Diet.disease vs. nodiet.disease (effect of diet in disease)
> Nodiet.disease vs. Nodiet.nodiease (effect of disease in no diet)
> Diet.disease vs. Diet.nodisease (effect of disease in diet)
> Diet.disease vs. nodiet.nodisease
> I used makecontrasts function in limma in R.
> Contrast.matrix=makecontrasts(
> Diet.nodisease vs. nodiet.nodisease= Diet.nodisease - nodiet.nodisease
> Diet.disease vs. nodiet.disease = Diet.disease - nodiet.disease
> Nodiet.disease vs. Nodiet.nodiease= Nodiet.disease -Nodiet.nodiease
> Diet.disease vs. Diet.nodisease= Diet.disease - Diet.nodisease
> Diet.disease vs. nodiet.nodisease= Diet.disease - nodiet.nodisease
> )
>
> I also want to get the main effect of diet and disease and interaction
> at the same time. (diet, disease, diet*disease). I suppose the code
> gives 2 diet effects and 2 diseases effect. I would appreciate any
> advice.
>
> Thanks !!!
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