How to Save R Output in Google Colab

Learn how to save R outputs in Google Colab by mounting Google Drive or saving it locally. Follow our easy steps to achieve your file-saving goals! --- This video is based on the question https://stackoverflow.com/q/64708511/ asked by the user 'Maruf Sazed' ( https://stackoverflow.com/u/10400605/ ) and on the answer https://stackoverflow.com/a/67978453/ provided by the user 'Maruf Sazed' ( https://stackoverflow.com/u/10400605/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Saving R output in Google Colab Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- How to Save R Output in Google Colab: A Complete Guide Google Colab is a fantastic tool for data science and machine learning, primarily for Python. However, if you're an R user, you may find yourself juggling between R and Colab and wondering how to save your R output effectively. Whether you want to save files directly to your Google Drive or your local drive, you’ll find that there are straightforward methods to achieve this. In this post, we’ll go through how to save R outputs in Google Colab—making the process as simple and clear as possible. The Problem: Saving R Output in Google Colab When you work in R, you often produce outputs, data frames, or lists that you want to save for future use. For instance, in RStudio, you might typically use the saveRDS() function to store your R objects. Here’s a quick example of how you would save a list of R objects on your local drive: [[See Video to Reveal this Text or Code Snippet]] But how do you accomplish this in Google Colab? The answer lies in utilizing Google Drive effectively. The Solution: Steps to Save R Output in Google Colab Step 1: Mount Your Google Drive To save outputs directly to your Google Drive, you need to first mount your drive to the Colab environment. This can be done with a few lines of Python code. Open a new code cell in your Colab notebook and run the following: [[See Video to Reveal this Text or Code Snippet]] Expect to see a pop-up where you will have to follow a few authentication steps to give Colab access to your Google Drive. Step 2: Navigate to MyDrive Once your Google Drive is mounted, you will need to navigate to the MyDrive directory, where you will be storing your outputs. You can achieve this using: [[See Video to Reveal this Text or Code Snippet]] Step 3: Save Your R Output Now that you're in the correct directory, you can execute the R code to save your output file. If you wanted to save a list of objects named a, b, c, and d as an RDS file, your R code would look like this: [[See Video to Reveal this Text or Code Snippet]] Step 4: Downloading Files Locally If you wish to download the generated RDS file to your local machine, navigate to the "MyDrive" folder through your Google Drive interface, locate the sim1.rds file, and simply download it from there. Conclusion Saving R outputs in Google Colab is quite simple once you know the steps to mount your Google Drive. By following the instructions above, you can seamlessly save your work in the cloud and retrieve it whenever necessary. This method bridges the gap between R programming and Google Colab, allowing you to leverage the advantages of both platforms. Next time you find yourself needing to save R outputs, just remember these easy steps! Happy coding!