If you are a Windows user, you can install the library directly with conda to export dataframe to excel R: conda install -c r r-xlsx Java needs to be installed if not present in your machine for Data R export to Excel. Indeed, the library xlsx uses Java to create the file. The slight difference comes from the installation of the library. Both users will use the library xlsx to create an Excel file. Now, we will learn how to export data from R to Excel:Įxport data from R to Excel is trivial for Windows users and trickier for Mac OS user. How to Export a Data from R to Excel File System(paste(Sys.getenv('R_BROWSER'), dir)) You should see a file names table_car.csv for data R export to csv. You just need to run the code below and see where the csv file is stored. Note: For pedagogical purpose only, we created a function called open_folder() to open the directory folder for you. Note: You can use the function write.csv in R as write.csv2() to separate the rows with a semicolon for R export to csv data. “table_car.csv”: Name the file table_car and store it as csv.df: name of the data frame in the environment.write.csv(df, “table_car.csv”): Create a CSV file in the hard drive:.'/Users/USERNAME/Downloads/mydata.csv' or the filename + extension if the folder is the same as the working directory Need to be the same name of the data frame in the environment. The basic syntax of write.csv in R to Export the DataFrame to CSV in R: write.csv(df, path) How to Export a DataFrame to a CSV File in R

R open file