Introduction
Welcome to the Advanced R Topics section on Datonovia. This area is dedicated to helping you deepen your R programming skills by exploring more complex and performance-oriented concepts. Whether you’re interested in writing more efficient code, managing errors gracefully, or harnessing parallel processing, you’ll find a wealth of resources here.
What You’ll Learn
In this advanced section, you will explore:
Functional Programming in R:
Learn how to leverage R’s functional programming techniques—including apply functions and vectorized operations—to write concise, efficient code.Tidyverse for Data Science:
Discover in-depth tutorials on dplyr, tidyr, and ggplot2 to manipulate, tidy, and visualize data effectively.Error Handling in R:
Master best practices for managing errors and debugging in R using tools like tryCatch() and traceback().Debugging in R:
Explore R debugging techniques with built-in functions and RStudio’s debugging tools to identify and fix issues in your code.Writing Efficient R Code: Vectorization Tricks:
Optimize your R scripts by leveraging vectorized operations and avoiding inefficient loops.Parallel Computing in R:
Learn how to speed up your computations using R’s parallel package along with techniques for multicore processing.furrr for Parallel Processing:
Discover how to integrate furrr with your tidyverse workflows to run tasks in parallel, enhancing performance without sacrificing code readability.Developing and Publishing R Packages:
Get a comprehensive guide on creating, documenting, testing, and publishing R packages to share your work with the community.
Conclusion
This overview is your gateway to advanced R programming. Each tutorial in this section builds on the fundamentals to help you write more robust, efficient, and scalable R code. Whether you’re refining your functional programming skills, optimizing your code with vectorization, or diving into parallel computing and package development, there’s a tutorial here to guide you.
Happy coding, and enjoy exploring the advanced capabilities of R!
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Citation
@online{kassambara2024,
author = {Kassambara, Alboukadel},
title = {Advanced {R} {Topics:} {An} {Overview}},
date = {2024-02-10},
url = {https://www.datanovia.com/learn/programming/r/advanced/index.html},
langid = {en}
}