Why and When Should You Create Your Own R Package?A First Package in 2 Minutes in RStudioA Second Example: A Package from Scratch, Including Function DocumentationDocumenting A Function Using Roxygen TagsBefore we dive into the How, let''s take a moment to think about the Why and When. 1. When you find yourself re-using functions across projects 2. When you want to organize code in a central place 3. To make use of R''s built-in functionality for documentation (help pages), rather than forcing yourself and others to read scripts and comments to under...See more on statisticsglobe PsyTeachR
Learn to write custom functions and include them in your package. First, let''s create a very basic function to learn about custom functions. Functions need a name (like any R object). They are
In this article, let us guide you through the process of creating your own R package from scratch using the devetools and roxygen2 packages.
Custom R packages offer a robust solution by encapsulating your functions, documentation, and data into a single, self-contained unit. This not only streamlines your workflow
Explore many personalized R examples and examples, working samples and examples using the R packages. How to do this and that after downloading and installing the package.
Quick guide on crafting an R package in under 2 minutes, covering setup, custom themes, documentation, dependencies, licensing, installation and usage.
Learn to write custom functions and include them in your package. First, let''s create a very basic function to learn about custom functions. Functions need a name (like any R object). They are
We will use devtools package to create an appropriate package structure and perform frequent development tasks, like building, installing, and loading the package, checking and updating
Creating your own R package is easier than you may think if you haven''t done it before, and can be fun! This tutorial shows why you should create your own packages and how to create them in RStudio.
In RStudio, select File > New Project > New Directory > R Package. In the dialog box that pops up, give the package a name and enter the directory in which you want the package to reside.
Often, I have to do the same tasks in R, especially when it comes to data visualization. Rather than re-write the same things over and over again, I built reusable functions in R.
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