
Welcome | Advanced R
The book is designed primarily for R users who want to improve their programming skills and understanding of the language. It should also be useful for programmers coming to R from …
1 Introduction | Advanced R
R’s metaprogramming capabilities allow you to write magically succinct and concise functions and provide an excellent environment for designing domain-specific languages like ggplot2, dplyr, …
9 Functionals | Advanced R
Section 9.5 introduces a new style of functional: purrr::reduce(). reduce() systematically reduces a vector to a single result by applying a function that takes two inputs. Section 9.6 teaches you …
Advanced R Programming - Coursera
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional …
Functions · Advanced R. - Hadley
Functions are a fundamental building block of R: to master many of the more advanced techniques in this book, you need a solid foundation in how functions work. You’ve probably …
Welcome · Advanced R.
This is the companion website for “ Advanced R ”, a book in Chapman & Hall’s R Series. The book is designed primarily for R users who want to improve their programming skills and …
Chapter 2 Advanced R Programming | Mastering Software
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional …
Advanced R Programming - Class Central
Develop powerful, robust data science tools with advanced R programming, covering functional programming, error handling, OOP, profiling, debugging, and function design for reusable …
- Reviews: 1
Learn Advanced R Programming Skills - Coursera
Deepen your R programming knowledge with advanced data analysis, visualization, and statistical modeling techniques. Discover Advanced R Programming Courses designed to deepen your …
Digging deeper: online resources for intermediate to advanced R …
The first course (“The R Programming Environment”) probably won’t be needed for intermediate R users, but subsequent courses (“Advanced R Programming”, “Building R Packages”, and …
- Some results have been removed