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Optimizing R Code with Rcpp
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Prerequisites
Introduction to Writing Functions in RIntroduction
Functions and Control Flow
Vector Classes
Case Studies
Complete
Earn Statement of Accomplishment
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FAQs
Do I need to know C++ before starting this course?
No prior C++ knowledge is required. The course teaches you enough C++ in the context of accelerating R code, starting from writing and benchmarking your first C++ functions.
How does the Rcpp package integrate C++ with R?
Rcpp lets you write C++ functions that work directly with R objects like vectors and lists. You call these functions from R to dramatically speed up performance-critical code.
What practical applications are covered in the case studies chapter?
Chapter 4 covers using random numbers and writing algorithms for applied time series models, giving you real-world scenarios where C++ integration provides meaningful speedups.
What C++ programming concepts will I learn in this course?
You will learn C++ functions, control flow with if/else statements, three types of loops, and how to manipulate both Rcpp and native C++ vector classes.
Is this course a good fit if my R code runs slowly on large datasets?
Yes, this course is specifically designed for R users who want to speed up slow code by rewriting performance-critical sections in C++ using the Rcpp package.
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