#Loop save object in loop in r mac os x
#Loop save object in loop in r code

write.table() is used for writing tabular data to text files (i.e.

There are similar functions for writing data to files

unserialize() function is used for reading single R objects in binary format.

load() function is used for reading in saved workspaces.

#Loop save object in loop in r code

dget() function is also used for reading in R code files.source() is a very useful function for reading in R code files from a another R program.readLines() is used for reading lines from a text file.read.table() and read.csv() are two popular functions used for reading tabular data into R.> PLEASE do read the posting guide > and provide commented, minimal, self-contained, reproducible code.There are a few very useful functions for reading data into R. > I am *sure* there is something more clever to do but I can't find it. > # This works but it is a bit convoluted!!! > save(paste('data', i, sep = ''), file = paste( paste('data', i, sep = > # now I need to save this new object as a RData. > assign( paste( 'data', i, sep=''), my.fun(my.list)) # this works > manipulations on it and returns a dataframe. > my.fun is a function that takes a dataframe, performs several > list of 12 dataframes (call this list my.list) > Say I have 1 big dataframe called data.

> environment while R performs calculations. > process is quite computer-intensive, so I can't keep everything in the > I am wondering whether there is a more efficient way to do what I need to > My problem is when I use 'get', it prints the whole object on the screen.

> I am using a loop in which I used 'assign' and 'get' (pseudo code below). Garbage collection 22 = 7+1+14 (level 2). Used (Mb) gc trigger (Mb) limit (Mb) max used (Mb) Garbage collection 19 = 6+0+13 (level 2). > # each object is 8Mb, and we store 10 of them > # start tracking to store data objects in the directory 'data' # each object is 8Mb, and we store 10 of them # start tracking to store data objects in the directory 'data' Here's how you could do the above - this example works with 10 8Mb objects This manner - it saves objects automatically to disk but they are still The trackObjs package is designed to make it easy to work in approximately > on other data sets, I am trying to automate this as much as I can. > It works if coded line by line but since I'll have to perform these tasks save it and remove it from the environment The dataset is so big that the only way I can play with it > I am analysing a very large data set and I need to perform several data

#Loop save object in loop in r mac os x

Next message: Execute R-code from vim on Mac OS X.Previous message: assigning and saving datasets in a loop, with names changing with 'i'.assigning and saving datasets in a loop, with names changing with 'i' Tony Plate tplate at acm.org Assigning and saving datasets in a loop, with names changing with 'i'