Several methods can be used to save the work. The created data items and results will need to be saved to the disk in order to work on them later. Let us now understand how we can save our work in R programming language. Exporting R data to Stataīelow method is used to export data frame to Stata binary format: Let us see list of best books to learn R e.
Refer this link how to save Graphs to files in R Programming? b. This means using above command, tabular data can be written to the clipboard. The write.table() command is used with the following arguments:file=”clipboard” >write.table(file_name, file="clipboard", sep="\t", row.names=FALSE) Just as the read.csv()function is a special case of read.table(), write.csv()is a special case of write.table().The command can be used as follows: 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.
Refer this link how to install R, R Studio and R Packages in simple steps? a. We can also export R data to SAS or SPSS or Stata. In this case, we are interested in data about people's confidence in different institutions.
We select the GSS2018.sav dataset and get We can now import all the data or only a subset. For example, it only supports Stata files up to version 12, while haven supports up to version 14 (the current version as of this writing). It also supports SPSS and Stata files, but it is not as up-to-date as the functions from haven. To bring it into Stata, we open the dialog box by clicking on File > Import > SPSS data (.sav). readdta(): Stata An alternative to haven is the foreign package. We can export data from R to CSV file or Text file or Excel sheet. The dataset we are interested in is GSS2018.sav. Now we are going to learn how we can export data from R.Įxporting results from R is usually a less contentious task. This feature has been added to the latest version of Stata, but I haven’t gotten around to learning it yet.So far we have seen how data can be imported in R. Reading Fixed-Width Text Files, One Record per Case INPUT id workshop gender $ q1-q4 1 f 1 1 5 1 2 2 f 2 1 4 1ĭATA LIST FREE/ id (f1.0) workshop (f1.0) gender (A) If instead you want to import SPSS data to Stata. Input id workshop str1 gender q1-q4, automatic savespss will export data from Statas memory into an SPSS system (aka binary file) datafile (.sav). It can read SPSS, SAS, Excel, and Stata files from a URL through the SPSSINC GETURI DATA extension. SPSS cannot read text files from a URL directly. Reading a comma-delimited text file from a web site VARIABLES = id F1.0 workshop F1.0 gender A1.0 Mydata <- read.csv("mydataID.csv", row.names = "id") We will get around to those when we write the second edition of R for Stata Users. Examples that are missing for Stata reflect differences between the two books.
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. Below is a comparison of the commands used to read data into in R, SAS, SPSS and Stata.