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Optimizing R Code with Rcpp

IntermediateSkill Level
4.9+
12 reviews
Updated 02/2025
Use C++ to dramatically boost the performance of your R code.
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RProgramming4 hr15 videos52 Exercises4,350 XP3,927Statement of Accomplishment

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Course Description

R is a great language for data science, but sometimes the code can be slow to run. Combining the comfort of R with the speed of a compiled language is a great way to reclaim the performance your code deserves.C++ is a modern, high performance language that is simple enough to learn in the context of accelerating R code. With the help of the Rcpp package, C++ integrates very neatly with R. You will learn how to create and manipulate typical R objects (vectors and lists), and write your own C++ functions to dramatically boost the performance of your R code.

Prerequisites

Introduction to Writing Functions in R
1

Introduction

Writing, benchmarking, and debugging your first C++ code.
Start Chapter
2

Functions and Control Flow

3

Vector Classes

4

Case Studies

Optimizing R Code with Rcpp
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*4.9
from 12 reviews
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  • Jessie
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    I felt confident

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    3 months ago

  • Emma
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  • Albert
    6 months ago

"I felt confident"

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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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