Dear all,
Thanks to the help from the R mailing list we now have a script performing
the required tasks, i.e. applying a mask and filter to a 3D array. See
script below. Any further suggestions to simplify the code are very
welcome. We are currently debugging the larger script of which this sect
> From: "Liaw, Andy" <[EMAIL PROTECTED]>
> Date: Tue, 23 Nov 2004 12:28:48 -0500
>
> I'll give it half a crack:
>
> Steps a through c can be done via nested ifelse(), treating A and M as
> vectors (as they really are). Step d is the hard one. I'd write a simple
> Fortran code and use .Fortran()
On Tue, 2004-11-23 at 12:28 -0500, Liaw, Andy wrote:
> I'll give it half a crack:
>
> Steps a through c can be done via nested ifelse(), treating A and M as
> vectors (as they really are). Step d is the hard one. I'd write a simple
> Fortran code and use .Fortran() for that.
>
> I don't see how
I'll give it half a crack:
Steps a through c can be done via nested ifelse(), treating A and M as
vectors (as they really are). Step d is the hard one. I'd write a simple
Fortran code and use .Fortran() for that.
I don't see how any of the *apply() functions can help here, as your
operations ar
Dear all,
As our previous email did not get any response, we try again with a
reformulated question!
We are trying to do something which needs an efficient loop over a huge
array, possibly functions such as apply and related (tapply,
lapply...?), but can't really understand syntax and examples i
