Quick and Dirty Save for R workspace objects

I recently found that if i used the same function on multiple datasets, I needed to save the objects created into a RData object, so that I can upload all the processed data from all datasets simultaneously. One way to do this is to somehow hard code this into your function so that each variable is prefixed with a unique id. For example , if I have dataset1 and dataset2 and I wanted to process them using my function which creates obj1, obj2  then i would have to create objects called d1_obj1, d1_obj2 for the first dataset and d2_obj1 and d2_obj2 for the second dataset. This might be simple enough with a couple of objects, however I wanted to save about 20+ objects from within the function as I planned for some comparisons that would involve those objects. Then i came across the R function get and assign , which made the job i was dreading of ( reassigning each  object somehow and debugging it all ) very easy. I just created a named list and assigned all the objects to the list using get with my specific prefix for the objects just before the function exits and save that list using the save function. Below is the code I use

objectNames <-ls(all.names=T)
res<- list()
for ( o in objectNames)
{
res[[paste(proj,o,sep="_")]] <- get(o)
}
format(object.size(res), units="Gb")

If anyone has anything better please do not hesitate to let me know, as i feel that this is somewhat hawkish.

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s