The art of R programming: a tour of statistical software design

By:

Matloff, Norman S

Material type: Text

TextPublication details: No Starch Press USA 2011Description: xv, 373 pISBN:

9781593273842

Subject(s):

Statistics--Data processing

DDC classification:

519.502855133 MAT

Summary: San Francisco, CA, September 20, 2011—Archaeologists use the R programming language 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. R may have a tiny name, but it is a powerful tool for these and countless other industries and individuals. With the release of Norman Matloff's The Art of R Programming (No Starch Press, October 2011, 400 pp., $39.95, ISBN 9781593273842), No Starch Press makes it easier than ever for readers to harness this multifunctional language. The Art of R Programming takes readers 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 even hobbyist programmers will find the book accessible. "Most people who use R do so in sort of a hodge-podge way—plot a graph here, calculate a standard deviation there," said No Starch Press founder Bill Pollock. "At last we have this unique book that treats R like a real programming language rather than a glorified calculator." Along the way, readers learn about functional and object-oriented programming, and how to run mathematical simulations and rearrange complex data into simpler, more useful formats. They also learn how 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 and functionality Find and install new R packages for text analysis, image manipulation, and more Squash annoying bugs with advanced debugging techniques Whether readers are designing aircraft, forecasting the weather, or just taming some data, The Art of R Programming is the must-have guide to harnessing the power of statistical computing with R.

List(s) this item appears in: IT & Decision Sciences | HR & OB

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	519.502855133 MAT (Browse shelf(Opens below))	1	Available		000781

Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: IT & Decisions Sciences Close shelf browser (Hides shelf browser)

Previous								Next
Previous	519.502855133 GRO Hands-on programming with R: write your own functions and simulations	519.502855133 GRU Data science from scratch: first principles with Python	519.502855133 KAB R in action: data analysis and graphics with R	519.502855133 MAT The art of R programming: a tour of statistical software design	519.502855133 SIL Text mining with R: a tidy approach	519.502855133 STO Using R for statistics	519.502855362 HUI Learn R for applied statistics:	Next

San Francisco, CA, September 20, 2011—Archaeologists use the R programming language 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. R may have a tiny name, but it is a powerful tool for these and countless other industries and individuals. With the release of Norman Matloff's The Art of R Programming (No Starch Press, October 2011, 400 pp., $39.95, ISBN 9781593273842), No Starch Press makes it easier than ever for readers to harness this multifunctional language.

The Art of R Programming takes readers 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 even hobbyist programmers will find the book accessible.

"Most people who use R do so in sort of a hodge-podge way—plot a graph here, calculate a standard deviation there," said No Starch Press founder Bill Pollock. "At last we have this unique book that treats R like a real programming language rather than a glorified calculator."

Along the way, readers learn about functional and object-oriented programming, and how to run mathematical simulations and rearrange complex data into simpler, more useful formats. They also learn how 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 and functionality
Find and install new R packages for text analysis, image manipulation, and more
Squash annoying bugs with advanced debugging techniques
Whether readers are designing aircraft, forecasting the weather, or just taming some data, The Art of R Programming is the must-have guide to harnessing the power of statistical computing with R.

There are no comments on this title.

to post a comment.