> dataSPSS dataSPSS dataStata dataStata dataSAS install.packages(“readxl”) : TRUE if R should convert variables with value labels into R factors with those levels.to.ame: TRUE if R should treat loaded data as a data frame.> dataRDS dataSPACE dataSPACE dataTAB dataCOMMA dataFW install.packages(“foreign”)
The command > ls() can be used to print out all of the objects currently loaded into R. The names given to these objects when they were originally saved will be given to them when they are loaded. When R calls load(), all of the R objects saved in the file are loaded into R. Notice that the result of this function is not assigned to an object name. Setting the working directory can eliminate path confusion.
#SAS STAT TRANSFER EXCEL LONG TEXT FIELD WINDOWS#
When specifying the pathname, R reads forward slashes, whereas Windows reads backward slashes.
#SAS STAT TRANSFER EXCEL LONG TEXT FIELD HOW TO#
See below for instructions on how to read and load data into R from both file extensions.īefore reading any data, you must set the R working directory to the location of the data. Importing External Data into SAS Method I : PROC IMPORT PROC IMPORT is a SAS procedure to import external files into SAS. Rdata is used to save multiple R objects, while Rds is used to save a single R object. These formats are used when R objects are saved for later use. R also has two native data formats-Rdata (sometimes shortened to Rda) and Rds. Whether the data was prepared using Excel (in CSV, XLSX, or TXT format), SAS, Stata, SPSS, or others, R can read and load the data into memory. R is capable of reading data from most formats, including files created in other statistical packages.
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