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Open a new project in RStudio. Go to the File menu and click on New Project. Then select New Directory, and R Package to create a new R package.
For example, in RStudio, the most popular IDE for R, we need to complete the following steps: Click Tools Packages. Select Repository (CRAN) in the from: slot. Type the package name (or several package names, separated with a white space or comma) Leave dependencies ticked as by default.
R Packages can serve any number of uses, and range from well documented and widely used statistical libraries to packages of functions that tell knock-knock jokes. If you have been using R for even a short length of time, you have probably needed to and use the functions published in an R package.
To an R package locally, specify the local directory where you want to by using the -l option in the R CMD command. For example, to the R package in the local directory /usr/me/localR/library, use the R CMD as follows.
To R on Windows OS: Go to the CRAN website. Click on Download R for Windows. Click on R for the first time link to download the R executable (.exe) file. Run the R executable file to start installation, and allow the app to make changes to your device. Select the installation language.
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Detailed steps I used to create the R Data Package Step 0: The Dataset and Package Name. Step 1: the Toolkit. Step 2: Create a New Package as a Project. Step 3: Add the Dataset. Step 4: Create the Data Dictionary `data. Step 5: Update the DESCRIPTION File. Step 6: Create the LICENSE file.
The first thing that we need to do is to create a new folder inside of SCCRpackage called R. Inside this folder is where we will store the actual R scripts with the coded functions. Any number of . R files can be included in the folder, and each file can have any number of functions.

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