Thanks, Mike!
On Mon, Jul 15, 2013 at 8:04 AM, Michael Love
wrote:
> hi Steve,
>
> I have fixed this bug in version 1.0.18 and 1.1.22, and I added a unit
> test for such a design formula in the devel version.
>
> best,
>
> Mike
>
> On Wed, Jul 10, 2013 at 8:52 AM, Michael Love
> wrote:
>> Hi Ste
hi Steve,
I have fixed this bug in version 1.0.18 and 1.1.22, and I added a unit
test for such a design formula in the devel version.
best,
Mike
On Wed, Jul 10, 2013 at 8:52 AM, Michael Love
wrote:
> Hi Steve,
>
> Thanks for pointing out this bug in the renaming code. I will fix this as
> soon
Hey Mike,
On Tue, Jul 9, 2013 at 11:52 PM, Michael Love
wrote:
> Hi Steve,
>
> Thanks for pointing out this bug in the renaming code. I will fix this as
> soon as possible.
If you decide to go the `subset(convertNames, ...)` route that I suggested:
(1) You might want to put this in the renameMo
Hi Steve,
Thanks for pointing out this bug in the renaming code. I will fix this as
soon as possible.
Best,
Mike
On Jul 10, 2013 1:00 AM, "Steve Lianoglou" wrote:
> Greetings DESeq2ers,
>
> I've been playing around with different ways to encode a 2x2 factorial
> design I'm working with: 4 cell
Actually the limma guide is right and I am wrong. For a moment I forgot
the precise meaning of ":" in context of R's formula system.
You still need to be careful with this, as the limma guide also states
quite clearly.
Kasper
On Tue, Jul 9, 2013 at 9:01 PM, Steve Lianoglou wrote:
> Hi Kasper,
Hi Kasper,
On Tue, Jul 9, 2013 at 5:51 PM, Kasper Daniel Hansen
wrote:
> This is side-stepping the question, but I am not aware that it ever makes
> sense to include the "A:B" term in a design matrix without also including
> the main effects of A and B (here I include obvious extensions such as A
This is side-stepping the question, but I am not aware that it ever makes
sense to include the "A:B" term in a design matrix without also including
the main effects of A and B (here I include obvious extensions such as A +
A:B + C where B is a coarser factor than C, so here the main effects of B
ar
Greetings DESeq2ers,
I've been playing around with different ways to encode a 2x2 factorial
design I'm working with: 4 cell types, 4 treatments and exploring
what's cooking in there.
I thought that the nested interaction formula used in the limma user's
guide (section 8.5.3) would be an easy way
