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Active2 months ago
Is there a way to read a Stata version 13 dataset file in R?
I have tried to do the following:
However, I got an error:
Error in read.dta('TEAdataSTATA.dta') :
not a Stata version 5-12 .dta file
Could someone point out if there is a way to fix this?
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Pearly Spencer
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kolonelkolonel
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6 Answers
If you have Stata 13, then you can load it there and save it as a Stata 12 format using the command
saveold (see help saveold ). Afterwards, take it to R.
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If you have, Stata 10 - 12, you can use the user-written command
use13 , (by Sergiy Radyakin) to load it and save it there; then to R. You can install use13 running ssc install use13 .
Details can be found at http://radyakin.org/transfer/use13/use13.htm
Other alternatives, still with Stata, involve exporting the Stata format to something else that R will read, e.g. text-based files. See
help export within Stata.
Stata 12 ManualUpdate
Starting Stata 14,
saveold has a version() option, allowing one to save in Stata .dta formats as old as Stata 11.
Stata Version 12 ManualRoberto FerrerRoberto Ferrer
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There is a new package to import Stata 13 files into a data.frame in R.
Install the package and read a Stata 13 dataset with read.dta13():
Update: readstata13 imports in version 0.8 also files from Stata 6 to 14
More about the package: https://github.com/sjewo/readstata13
sjewosjewo
There's a new package called Haven, by Hadley Wickham, which can load Stata 13 dta files (as well as SAS and SPSS files)
See: https://github.com/hadley/haven
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In the meanwhile savespss command became a member of the SSC archive and can be installed to Stata with:
findit savespss
The homepage http://www.radyakin.org/transfer/savespss/savespss.htm continues to work, but the program should be installed from the SSC now, not from the beta location.
Nick Cox
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Sergiy RadyakinSergiy Radyakin
I had the same problem. Tried dpel
read.dta13 , read.dta but nothing worked. Then tried the easiest and least expected: MS Excel! It opened marvelously. I saved it as a .csv and used in R!!! Hope this helps!!!!
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Supriya KulkarniSupriya Kulkarni
I am not familiar with the current state of R programs regarding their abilityto read other file formats, but if someone doesn't have Stata installed on their computer and R cannot read a specific version of Stata's
dta files, Pandas in Python can now do the vast majority of such conversions.
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Basically, the data from the
dta file are first loaded using the pandas.read_stata function. As of version 0.23.0 , the supported encoding and formats can be found in a related answer of mine.
Then one can either save the data as a Pearly SpencerPearly Spencer
csv file and import themusing standard R functions, or instead use the pandas.DataFrame.to_feather function, which exports the data using a serialization format built on Apache Arrow. The latter has extensive support in R as it was conceived to promote interoperability with Pandas .
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protected by Pearly SpencerJul 29 at 20:38
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