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OLS Field Name OLS Field Data
Main Title R for everyone : advanced analytics and graphics /
Author Lander, Jared P.,
Publisher Addison-Wesley,
Year Published 2017
OCLC Number 947149776
ISBN 013454692X; 9780134546926
Subjects R (Computer program language) ; Scripting languages (Computer science) ; Statistics--Data processing. ; Statistics--Graphic methods--Data processing. ; Computer simulation.
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBM  QA76.73.R3L36 2017 Research Triangle Park Library/RTP, NC 12/12/2018
Edition Second edition
Collation xxiv, 528 pages : illustrations (some color) ; 23 cm.
Notes Includes indexes.
Contents Notes Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you’ll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. -- Provided by publisher.
Place Published Boston
Title Ser Add Ent Addison-Wesley data and analytics series.
PUB Date Free Form ©2017
Series Title Untraced The Addison Wesley data and anlytics series
BIB Level m
Medium unmediated
Content text
Carrier volume
Cataloging Source RDA
LCCN 2017934582
Merged OCLC records 985009671
OCLC Time Stamp 20181207070203
Language eng
Origin OCLC
Type CAT
OCLC Rec Leader 04100cam 2200541 i 45010