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2011 - The Art of R.Programming. ATour of Statistical Software Design - Matloff - 2pph.pdf

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2011 - The Art of R.Programming. ATour of Statistical Software Design - Matloff - 2pph.pdf

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2011 - The Art of R.Programming. ATour of Statistical Software Design - Matloff - 2pph.pdf

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文档介绍:TAMETAME YOURYOUR DATADATA THE
THE ART OF R PROGRAMMING ART THE THE
THE ART OF R PROGRAMMING ART THE
ARTART OFOF RR
R is the world’s most popular language for developing • Interface R with C/C++ and Python for increased
statistical software: Archaeologists use it to track the speed or functionality
spread of ancient civilizations, panies use it
• Find new packages for text analysis, image manipula- PROGRAMMINGPROGRAMMING
to discover which medications are safe and effective,
tion, and thousands more
and actuaries use it to assess financial risks and keep A TOUR OF STATISTICAL SOFTWARE DESIGN
markets running smoothly. • Squash annoying bugs with advanced debugging
techniques
The Art of R Programming takes you on a guided tour
of software development with R, from basic types Whether you’re designing aircraft, forecasting the
and data structures to advanced topics like closures, weather, or you just need to tame your data, The Art of NORMAN MATLOFF
recursion, and anonymous functions. No statistical R Programming is your guide to harnessing the power
knowledge is required, and your programming skills of puting.
can range from hobbyist to pro.
ABOUT THE AUTHOR
Along the way, you’ll learn about functional and object-
Norman Matloff is a professor puter science
oriented programming, running mathematical simulations,
(and a former professor of statistics) at the University
and plex data into simpler, more useful
of California, Davis. His research interests include
formats. You’ll also learn to:
parallel processing and statistical regression, and
• Create artful graphs to plex data sets he is the author of several widely used web tutorials
and functions on software development. He has written articles for
the New York Times, the Washington Post, Forbes
• Write more efficient code using parallel R and
Magazine, and the Los Angeles Times, and he is the
vectorization
co-author of The Art of Deb