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The programs and the data they use are also available for download here. The variables gender and workshop are categorical factors and q1 to q4, pretest and posttest are considered continuous and normally distributed. Write_sav(dataframe, "path\to\your\data")įile stored by the SPSS can also be read with read.spss in this way: foreign::read.spss('data.sav', to.ame=TRUE, is a comparison of the commands used to read data into in R, SAS, SPSS and Stata. Save.dta13(dataframe, file, data.label = NULL, time.stamp = TRUE,Ĭonvert.factors = TRUE, convert.dates = TRUE, tz = "GMT",Īdd.rownames = FALSE, compress = FALSE, version = 117, # writing to Stata files with `readstata13` Write_dta(dataframe, "path\to\your\data") Write.dta(dataframe, "file", version = 7L,Ĭonvert.factors = c("labels", "string", "numeric", "codes")) Write.foreign(dataframe, "path\to\data\file", "path\to\instruction\file", package = "Stata") Write.foreign(dataframe, datafile, codefile, # writing to Stata, SPSS or SAS files with `foreign` This will write 2 files, one containing the data and one containing instructions the other package needs to read the data. To export data frames to other statistical packages you can use the write functions write.foreign(). It has proved very robust for import of large public-released datasets.
#READ STATA 13 IN R CODE#
The SAScii package provides functions that will accept SAS SET import code and construct a text file that can be processed with read.fwf. Sasxport.get("path\to\your\data.xpt") # does not require access to SAS executable # Reading SA XPORT format ( *.XPT ) files Sas.get("path\to\your\data") #requires access to saslib Read.spss("path\to\your\data.sav", to.ame = TRUE) For readstata13, the files are # reading recent Stata (13+) files with `readstata13`įor reading in SPSS and SAS files # reading SPSS files with `foreign` For more recent versions of Stata, you can use either the readstata13 package or haven. According to the development page, the read.dta is more or less frozen and will not be updated for reading in versions 13+. The foreign package can read in stata (.dta) files for versions of Stata 7-12. Some examples for the most common data types: # reading Stata files with `foreign` There is a read function for each of the supported data types to import the files. The packages foreign and haven can be used to import and export files from a variety of other statistical packages like Stata, SPSS and SAS and related software. Using texreg to export models in a paper-ready way.
#READ STATA 13 IN R HOW TO#
Using pipe assignment in your own package %%: How to ?.String manipulation with stringi package.Standardize analyses by writing standalone R scripts.Reshaping data between long and wide forms.Reading and writing tabular data in plain-text files (CSV, TSV, etc.).Non-standard evaluation and standard evaluation.Network analysis with the igraph package.
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