![]() ![]() Files list: Includes all the files in your repository.Ĭ. Branches list: Lists your Git branches.ī. You can use the Sourcetree to interact with the repository.Ī. Sourcetree creates the folder on your local system. The Bookmark Name is the name of that folder. The Destination Path is the folder where your clone saves to your local system. If necessary, update the Destination Path or Bookmark Name. In the Clone this repository dialog, select the Clone in Sourcetree button. If you don't have SourceTree, download the application first.įrom the repository, select the Clone button. Follow these instructions to clone your repository. If you aren't familiar with Sourcetree, it's our client that provides an alternative to the command line. You can also use Sourcetree to clone your repository. The clone contains the files and metadata that Git requires to maintain the changes you make to the source files. You can create your directory structure using Windows Explorer (or Finder on a Mac) or within RStudio by clicking on the ‘New folder’ button in the ‘Files’ pane.Īn alternative approach is to use the dir.create() and `list.$ git clone the clone was successful, a new sub-directory appears on your local drive in the directory where you cloned your repository. This directory has the same name as the Bitbucket repository that you cloned. Having said that, different projects will have different requirements so we happily add and remove directories as required. We tend to have a fairly consistent directory structure across our projects as this allows us to quickly orientate ourselves when we return to a project after a while. Of course, the structure described above is just what works for us most of the time and should be viewed as a starting point for your own needs. This helps us and our collaborators distinguish what files are outputs and which are source files. Output - Outputs from our R scripts such as plots, HTML files and data summaries are saved in this directory. Scripts - All of the main R scripts we have written for the current project are saved here. Rmd - An optional directory where we save our R markdown documents. These can then be sourced into R using the source() function. R - This is an optional directory where we save all of the custom R functions we’ve written for the current analysis. Information about data collection methods, details of data download and any other useful metadata should be saved in a text document (see README text files below) in the metadata subdirectory. Any processed data should be saved to a separate file and stored in the processed_data subdirectory. If you need to process/clean/modify your data do this in R (not MS Excel) as you can document (and justify) any changes made. These files should be treated as read only and should not be changed in any way. The subdirectory called raw_data contains raw data files and only raw data files. Rproj file.ĭata - We store all our data in this directory. Root - This is your project directory containing your. In our working directory we have the following directories: We frequently use the following directory structure in our R based projects In addition to using RStudio Projects, it’s also really good practice to structure your working directory in a consistent and logical way to help both you and your collaborators. 1.4.2 Integrated developement environements. ![]()
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