Dear Bioconductors.
I have a six column matrix of one colour array data (first 3 columns are
case, second 3 are control), quantile normalized.

I would like to do simple differential gene expression using limma.

Is there a line or two of code that generates a simple design matrix for
this scenario?

I usually use a design matrix created from a targets file, and I never
really understand lines like...  design <- model.matrix(~0+f) (what is
~0+f)?

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