R Programming/Manage your workspace< R Programming
This page explains how to manage your workspace.
ls()lists the objects in your workspace.
list.files()lists the files located in the folder's workspace
rm()removes objects from your workspace;
rm(list = ls())removes them all.
rm(list=ls()) # remove all the objects in the workspace
Each object can be saved to the disk using the
save() function. They can then be loaded into memory using
load("file.Rda") ... # assume you want to save an object called 'df' save(df, file = "file.Rda")
save.image()saves your workspace.
Informations about the sessionEdit
sessionInfo()gives information about your session, i.e., loaded packages, R version, etc.
R.versionprovides information about the R version.
Note: According to R version 2.15.2 on Linux and Mac, memory.size() and memory.limit() are Windows-specific.
memory.size() gives the total amount of memory currently used by R.
> memory.size()  10.18
memory.limit() without any argument gives the limit of memory used by R. This can also be used to increase the limit. The maximum amount is limited by the memory of the computer.
> memory.limit()  1535 > memory.limit(size=2000) # 2000 stands for 2000 MB  2000
object.size() returns the size of an R object. You can print the results and choose the unit (byte,kilobytes,megabytes,etc).
> a <- rnorm(10^7) > object.size(a) 80000024 bytes > print(object.size(a),units="b") 80000024 bytes > print(object.size(a),units="Kb") 78125 Kb > print(object.size(a),units="Mb") 76.3 Mb > print(object.size(a),units="Gb") 0.1 Gb > print(object.size(a),units="auto") 76.3 Mb
memory.profile() returns more details.
> memory.profile() NULL symbol pairlist closure environment promise 1 4959 61794 1684 255 3808 language special builtin char logical integer 14253 46 687 5577 2889 4060 double complex character ... any list 523 1 11503 0 0 1024 expression bytecode externalptr weakref raw S4 1 0 497 117 118 642
gc()initiates the garbage collector which causes R to free memory from objects no longer used.