The Art of R Programming

The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions.

The Art of R Programming

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly. The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro. Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to: –Create artful graphs to visualize complex data sets and functions –Write more efficient code using parallel R and vectorization –Interface R with C/C++ and Python for increased speed or functionality –Find new R packages for text analysis, image manipulation, and more –Squash annoying bugs with advanced debugging techniques Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.

More Books:

The Art of R Programming
Language: en
Pages: 400
Authors: Norman Matloff
Categories: Computers
Type: BOOK - Published: 2011-10-11 - Publisher: No Starch Press

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly. The Art of R
The Art of R Programming
Language: en
Pages: 128
Authors: Erin B. Ball
Categories: Computers
Type: BOOK - Published: 2015-08-10 - Publisher: CreateSpace

Thought-provoking and accessible in approach, this updated and expanded second edition of the The Art of R Programming: A Tour of Statistical Software Design provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines
Handbook of Probabilistic Models
Language: en
Pages: 590
Authors: Pijush Samui, Dieu Tien Bui, Subrata Chakraborty, Ravinesh C. Deo
Categories: Computers
Type: BOOK - Published: 2019-10-05 - Publisher: Butterworth-Heinemann

Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an
Uncertainty Analysis of Experimental Data with R
Language: en
Pages: 196
Authors: Benjamin David Shaw
Categories: Mathematics
Type: BOOK - Published: 2017-07-06 - Publisher: CRC Press

"This would be an excellent book for undergraduate, graduate and beyond....The style of writing is easy to read and the author does a good job of adding humor in places. The integration of basic programming in R with the data that is collected for any experiment provides a powerful platform
R for Finite Element Analyses of Size-dependent Microscale Structures
Language: en
Pages: 99
Authors: Khameel B. Mustapha
Categories: Science
Type: BOOK - Published: 2019-03-21 - Publisher: Springer

This book addresses the static and dynamic analysis of linear elastic size-dependent structures based on the modified couple stress theory. It focuses on establishing the governing equations of the size-dependent structures, deriving the associated finite element models, and implementing those models using the R programming language. The implemented functions are