Efficient R Programming: A Practical Guide to smarter programming
By: Gillespie, Colin.
Contributor(s): Lovelace, Robin.
Material type:
BookPublisher: Mumbai Shroff Publishers & Distributors Pvt. Ltd. 2019Description: 203.ISBN: 978-93-5213-481-6.Subject(s): ProgrammingDDC classification: 005.133
| Item type | Current location | Call number | Status | Date due | Barcode |
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BSDU Knowledge Resource Center, Jaipur General Stacks | 005.133 GIL (Browse shelf) | Available | 017986 |
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| 005.133 CLO Programming In Prolog | 005.133 COL Python and HDF5: Unlocking scientific data | 005.133 DTE J2EE 1.7 Projects: Black book | 005.133 GIL Efficient R Programming: A Practical Guide to smarter programming | 005.133 GOR High Performance Python: Practical performant programming for humans | 005.133 JOS Introduction to Computing and Problem Solving with Python | 005.133 JOS Taming Python by Programming |
There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to write efficient R code.
Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to any R user’s bookshelf. Academics, business users, and programmers from a wide range of backgrounds stand to benefit from the guidance in Efficient R Programming.
Get advice for setting up an R programming environment
Explore general programming concepts and R coding techniques
Understand the ingredients of an efficient R workflow
Learn how to efficiently read and write data in R
Dive into data carpentry—the vital skill for cleaning raw data
Optimize your code with profiling, standard tricks, and other methods
Determine your hardware capabilities for handling R computation
Maximize the benefits of collaborative R programming
Accelerate your transition from R hacker to R programmer
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