[BioC] design matrix
James W. MacDonald
jmacdon at med.umich.edu
Wed Oct 3 17:52:35 CEST 2007
Lev Soinov wrote:
> Dear List,
>
> I have got a very simple, I suppose, question.
> Is there any difference between the following two designs if I just want to make pairwise comparisons between three groups as in the LIMMA user guide, p.31, Affymetrix and Other Single-Channel Designs.
> 1.
> > data <- ReadAffy()
> > eset <- rma(data)
> > design <- model.matrix(~ -1+factor(c(1,1,1,2,2,3,3,3)))
> > colnames(design) <- c("group1", "group2", "group3")
> > fit <- lmFit(eset, design)
> > contrast.matrix <- makeContrasts(group2-group1, group3-group2, group3-group1, levels=design)
> > fit2 <- contrasts.fit(fit, contrast.matrix)
> > fit2 <- eBayes(fit2)
>
> 2.
> > data <- ReadAffy()
> > eset <- rma(data)
> > design <- model.matrix(~ 0+factor(c(1,1,1,2,2,3,3,3)))
> > colnames(design) <- c("group1", "group2", "group3")
> > fit <- lmFit(eset, design)
> > contrast.matrix <- makeContrasts(group2-group1, group3-group2, group3-group1, levels=design)
> > fit2 <- contrasts.fit(fit, contrast.matrix)
> > fit2 <- eBayes(fit2)
>
> The only difference between the above two codes is in use of the design <- model.matrix(~ 0+factor(c(1,1,1,2,2,3,3,3))) or design <- model.matrix(~ -1+factor(c(1,1,1,2,2,3,3,3))). They produce identical design matrices and, as far as I can see, identical results in fit2. So, can we use "0" and "-1" here interchangeably?
>
Since they produce identical design matrices it would appear they are
identical, no? Anyway, the help page you are looking for is ?formula.
From the 'Details' section:
It can also used to
remove the intercept term: 'y ~ x - 1' is a line through the
origin. A model with no intercept can be also specified as 'y ~ x
+ 0' or 'y ~ 0 + x'.
Best,
Jim
> With kind regards,
> Lev.
>
>
> ---------------------------------
>
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--
James W. MacDonald, M.S.
Biostatistician
Affymetrix and cDNA Microarray Core
University of Michigan Cancer Center
1500 E. Medical Center Drive
7410 CCGC
Ann Arbor MI 48109
734-647-5623
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