Two issues, one was that i just wanted to do some calculation and then save it
without having to load the rest again beforehand and have to delete variables
in my working environment so they don't get saved as well. The second was the
issue that i'd like to have most of the data in one big file, but after a while
it gets too big to hold it all in memory.
At the moment i'm creating several files, one for each "experiment", but that
means i have to create and save some data more than once. I guess i could split
of the stuff that is used in more than one experiment so its only around once.
I'll take a look at the lazy-load stuff too, thanks.
On 10.10.2012, at 19:47, J Toll wrote:
> On Tue, Oct 9, 2012 at 10:35 AM, Jessica Streicher
> <j.streic...@micromata.de> wrote:
>> Can i somehow append objects to an .Rdata file?
>>
>> I didn't see an option for it in the save() method.
>>
>> dump() won't work since i have s4 objects in there.
>
>
> I'm not sure I completely understand the issues you're trying to work
> around, but I have two ideas for you. One is a simple pseudo-append
> function that loads the entire contents, adds the object, and saves
> the result. There are obviously memory issues with this strategy.
>
> appendRData <- function(robj, filename) {
>
> tmpEnv <- new.env()
>
> savedObjects <- load(filename, envir = tmpEnv)
>
> # quick check for name collisions
> stopifnot(!(deparse(substitute(robj)) %in% savedObjects))
>
> save(list = c(savedObjects, deparse(substitute(robj))),
> file = filename,
> envir = tmpEnv)
> }
>
> A second possibility is to convert your RData files to a lazy-load
> database as described by Simon Urbanek here:
>
> http://stackoverflow.com/questions/8700619/get-specific-object-from-rdata-file
> http://stackoverflow.com/questions/6550510/examining-contents-of-rdata-file-by-attaching-into-a-new-environment-possible
>
> HTH
>
>
> James
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