Pspp export to excel2/22/2023 For multiple column items containing several variables, use the write.table() or write.csv() command. For a single vector of values, use the write() or cat() command.Transfer the data out of R by using the write.table(), write.csv(), and cat() commands. The command which we will use depends on the format of data to save to the disk.For saving data to disk as text files while performing Data Analytics: Let us now understand how we can save our work in the R programming language. > write.dta(data, "/home/dataflair/data.dta") We use the below method to export data frame to Stata binary format: > library(foreign) > write.foreign(data, "/home/dataflair/data.txt", "/home/dataflair/data.sas", package="SAS") Exporting data from R to SASīelow is the way to write out text data file and a SAS program to read it: > #Author DataFlair Wait! Have you checked – Binomial and Poisson Distribution in R 4. > write.foreign(data, "/home/dataflair/data.txt", "/home/dataflair/data.sps", package="SPSS") In order to write the data file, that can be interpreted by the SPSS, we write the following lines of code: > #Author DataFlair Then, you can export data from R to SAS or SPSS or Stata. In order to export the data from R to SPSS, you will require the “Foreign” package. Write.xlsx(data, "/home/dataflair/data.xlsx") Exporting R data to an Excel Spreadsheetīelow commands are used to export R data to an excel sheet: library(xlsx) This means using the above command, tabular data can be written to the clipboard. > data write.table(data, file = "data.csv", The command can be used as follows: > #Author DataFlair Just as the read.csv() function is a special case of read.table(), write.csv() is also a special case of write.table(). To create a CSV file, the write.csv()function can be used. Exporting table data to a CSV fileĮxporting results from R to other applications in the CSV format is just as convenient as importing data into R by using CSV files. Stay updated with latest technology trends
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