On 31/12/2010 3:35 PM, Lars Bishop wrote:
Hi,
Maybe I'm missing the point here...but let's suppose you are working with
"large" data sets and using functions that take a significant amount of time
to run in R. I woulnd't like to run these functions every time I call
Sweave("myfile.Rnw") within R. What is the "common" practice to use Sweave
in these situations. I would just run the function once, save the results
and only load them each time I run Sweave on the .Rnw file. Makes sense?
Sorry, the question seems silly, but I'd appreciate your thoughts.
As others have said, there are packages that provide caching.
I haven't used them, because I like to keep my projects as
self-contained as possible: adding a dependency on one of those
packages is undesirable[1]. What I do in the case where there are time
consuming calculations is to do all the calculations in a script, and
save the results (using save()). Then the Sweave document will load the
objects (using load()) and do post-processing, plotting, etc.
Duncan Murdoch
1. I do generally write things that are dependent on my own patchDVI
package, and curse myself for the dependency all the time.
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