My professor has sent me an .rdata file and wants me to do some analysis on the contents. Although I'm decent with R, I've never saved my work in .rdata files, and consequently haven't ever worked with them.
When I try to load the file, it looks like it's working:
> load('/home/swansone/Desktop/anes.rdata')
> ls()
[1] "25383-0001-Data"
But I can't seem to get at the data:
> names("25383-0001-Data")
NULL
I know that there is data in the .rdata file (it's 13 MB, there's definitely a lot in there) Am I doing something wrong? I'm at a loss.
Edit:
I should note, I've also tried not using quotes:
> names(25383-0001-Data)
Error: object "Data" not found
And renaming:
> ls()[1] <- 'nes'
Error in ls()[1] <- "nes" : invalid (NULL) left side of assignment
The easiest way to load the data into R is to double-click on the particular file yourfile. RData after you download it to your computer. This will open in RStudio only if you have associated the . RData files with RStudio.
R also has two native data formats—Rdata (sometimes shortened to Rda) and Rds. These formats are used when R objects are saved for later use. Rdata is used to save multiple R objects, while Rds is used to save a single R object. See below for instructions on how to read and load data into R from both file extensions.
RData file in the data folder of your working directory.
Load workspace in R On the one hand, to load the RData object you can use the load function and call the file name. Once loaded, if you call the objects you saved you can access them. On the other hand, to read an RDS object you can use the readRDS function and specify the . rds file.
You're going to run into a lot of issues with an object that doesn't begin with a letter or . and a letter (as mentioned in An Introduction to R).
Use backticks to access this object (the "Names and Identifiers" section of help("`")
explains why this works) and assign the object to a new, syntactically validly named object.
Data <- `25383-0001-Data`
Maybe it has to do with the unusual use of dashes in the name and backquotes work:
names(`25383-0001-Data`)
More for reference (since Joshua already answered the main question perfectly), you can also reassign an object from ls()
(what Wilduck tried in the question) using get()
. This might be useful if the object of the name contains very weird characters:
foo <- 1:5
bar <- get(ls()[1])
bar
[1] 1 2 3 4 5
This of course requires the index of foo
in ls()
to be [1]
, but looking up the index of the required object is not too hard.
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