There is a minor difference in their look (write.csv() from base R and write_csv() from readr do the same stuff). The functions under the readr package are similar to the functions available under base R. row.names = FALSE will allow you to eliminate the row names from the exported data file. We can export this data frame as a text file using write.table() function. The third example emphasises the use of additional arguments that can be used under the write.csv() function. Which is what exactly we did in the second example in the code above. You can also store this file at a location of your choice. csv extension for this file to be exported as a CSV file. The file gets stored at the default working directory. The thing you should keep in mind is about the file extension. In this example, you could see the write.csv() function exports the data frame into a new CSV file named “d_frame_export”. To export this data frame into a CSV file, we can use the write.csv() function. First of all, let us create a data frame that we would love to export into a text/CSV file. Let us see an example here which will clear the air out about these functions. The function has two other special cases namely write.csv() and lim() out of which the first one helps to export the data into CSV format and the second one is adjusted way of write.table() where default delimiters can be adjusted. There is a popular built-in R function named write.table() which can do the task of exporting the data into text files from R workspace. One is using the base R functions and another one is using the functions from the readr package to export data into text/CSV format. There are two ways of exporting data into text files through R.
Not only because most of the software supports the option to export data into Text or CSV but also because these files are supported by almost every software/programming language that exists. Well, exporting data into a text or a CSV file, is the most popular and indeed common way of data export. Well, if you haven’t gone through yet, we would like you to read our article on Importing Data into R.
Through this article, we will walk you through how to export files from R to. We will also try to cover different functions from packages such as readr and xlsx that are associated with the different format options for the excel files. Through this article, we will walk through the processes and steps involved in exporting the data from R workspace to other platforms. It is as straightforward to export data from R as it is to import it into R.
You may want to export the data from R workspace into an excel file, or a CSV, or a Text file, or a PDF (in case you are creating a fancy report that needs to be sent to your boss). However, exporting data from R to other platforms is equally important as well. Importing data in R is surely important for the user.