On Thu, 22 Feb 2007 08:17:38 + (GMT) Prof Brian Ripley <[EMAIL PROTECTED]>
wrote:
> On Thu, 22 Feb 2007, Petr Klasterecky wrote:
>
> > Ranjan Maitra napsal(a):
> >> On Sun, 18 Feb 2007 07:46:56 + (GMT) Prof Brian Ripley <[EMAIL
> >> PROTECTED]> wrote:
> >>
> >>> On Sat, 17 Feb 2007, Ran
On Thu, 22 Feb 2007, Petr Klasterecky wrote:
> Ranjan Maitra napsal(a):
>> On Sun, 18 Feb 2007 07:46:56 + (GMT) Prof Brian Ripley <[EMAIL
>> PROTECTED]> wrote:
>>
>>> On Sat, 17 Feb 2007, Ranjan Maitra wrote:
>>>
Dear list,
I have a 4-dimensional array Y of dimension 330 x 67 x
Ranjan Maitra napsal(a):
> On Sun, 18 Feb 2007 07:46:56 + (GMT) Prof Brian Ripley <[EMAIL
> PROTECTED]> wrote:
>
>> On Sat, 17 Feb 2007, Ranjan Maitra wrote:
>>
>>> Dear list,
>>>
>>> I have a 4-dimensional array Y of dimension 330 x 67 x 35 x 51. I have a
>>> design matrix X of dimension 33
On Sun, 18 Feb 2007 07:46:56 + (GMT) Prof Brian Ripley <[EMAIL PROTECTED]>
wrote:
> On Sat, 17 Feb 2007, Ranjan Maitra wrote:
>
> > Dear list,
> >
> > I have a 4-dimensional array Y of dimension 330 x 67 x 35 x 51. I have a
> > design matrix X of dimension 330 x 4. I want to fit a linear re
On Sat, 17 Feb 2007, Ranjan Maitra wrote:
> Dear list,
>
> I have a 4-dimensional array Y of dimension 330 x 67 x 35 x 51. I have a
> design matrix X of dimension 330 x 4. I want to fit a linear regression
> of each
>
> lm( Y[, i, j, k] ~ X). for each i, j, k.
>
> Can I do it in one shot without
Dear list,
I have a 4-dimensional array Y of dimension 330 x 67 x 35 x 51. I have a design
matrix X of dimension 330 x 4. I want to fit a linear regression of each
lm( Y[, i, j, k] ~ X). for each i, j, k.
Can I do it in one shot without a loop?
Actually, I am also interested in getting the p-v
