4 Developing Your Own R Package for Research
Starting with a data analysis script, you learn how to find the package that lurks within. You'll isolate and then extract reusable data and logic from the ...
Chapter 7 Understanding and Using R Packages
An R package stores various functions and data sets for other users to access. It allows R to move beyond its roots in statistical programming and achieve more ...
Great R packages for data import, wrangling, and visualization
The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks ...
Building an R Package - Jumping Rivers
This is a one-day intensive course on building a package in R. The focus will be on getting a working R package ready for distribution.
How to distribute data with your R package - R-hub blog
You could use an existing infrastructure: GitHub releases (with the piggyback package whose documentation includes a thorough comparison with ...
Running R on CREATE - King's College London e-Research
... a new library location on your own personal scratch directory, as shown here: ... library location for your containerised R package installations: 1 2 3 4.
How to write your own R package - YouTube
When you hear “R package,” you may think something to share with other people. But an R package can also be a good way to organize your own ...
How is Hadley Wickham able to contribute so much to R ... - Quora
Three of Hadley's popular packages, devtools, Roxygen2, and testthat, make it very easy to (respectively) develop, document and test R packages.
How do you facilitate installation of R packages on your HPC/Cluster ...
Naturally, most researchers expect to be able to install packages from within RStudio, without errors. They are often coming from a laptop/ ...
What are the benefits of creating your own R packages? - Biostars
Two of the things that occupy my mind the most are reproducible research and teaching skills to to others. I have been recently thinking of ...
jtleek/rpackages: R package development - the Leek group way!
R - I mean, unless you are a wizard. Your functions, each written in a separate file2. At minimum the following packages installed: devtools, ...
Making a Package in R for Mac Users - The Personality Project
1. Put any C/C++/Fortran code in 'src' 2. If you have compiled code, add a .First.lib() function in 'R' to load the shared library 3. Edit the help file ...
The R Project for Statistical Computing
R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.
R (programming language) - Wikipedia
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics, ...
Introducing a new R package to help solve problems
After a while I started making my own cheat-sheet of useful ... The whole idea is that this is a package that does not require extensive study ...
So, I used this opportunity to create my personal R package and put this in as the first function. You can input your own address, timezone, etc. into the ...
Is writing a R package equivalent to a journal paper or PhD thesis ...
I am really eager to invest part of my time and write a package in R in order to help other researchers as well as deeply learning the topic ...
How do you build an R package? - Quora
Theres quite a few good resources out therem for example this one that walks you through the steps: ...
The devtools and usethis packages make it easy to build your own R packages, and packages make it easy to share your R code. Supplement this cheatsheet with ...
SurveyMonkey: The World's Most Popular Survey Platform
Easily create surveys and forms with AI and templates for employee and customer feedback, market research, event registrations and more. Get started free.