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BL
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| Record Number
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872867
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| Main Entry
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Lander, Jared P.
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| Title & Author
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R for everyone : : advanced analytics and graphics /\ Jared P. Lander.
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| Publication Statement
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Second edition. :: Pearson Education Limited (US titles),, [date of publication not identified]
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Upper Saddle River, NJ :: Addison-Wesley,, [2017]
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, ©2017
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| Series Statement
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The Addison Wesley data and anlytics series
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| Page. NO
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1 online resource (1 volume) :: illustrations
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| ISBN
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0134546997
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: 9780134546995
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013454692X
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0134546989
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9780134546926
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9780134546988
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| Bibliographies/Indexes
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Includes bibliographical references and indexes.
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| Contents
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Getting R -- The R environment -- R packages -- Basics of R -- Advanced data structures -- Reading data into R -- Statistical graphics -- Writing R functions -- Control statements -- Loops, the Un-R way to iterate -- Group manipulation -- Faster group manipulation with dplyr -- Iterating with purrr -- Data reshaping -- Reshaping data in the Tidyverse -- Manipualting strings -- Probability distributions -- Basic statistics -- Linear models -- Generalized linear models -- Model diagnostics -- Regularization and shrinkage -- Nonlinear models -- Time series and autocorrelation -- Clustering -- Model fitting with Caret -- Reproducibility and reports with knitr -- Rich documents with RMarkdown -- Interactive dashboards with shiny -- Building R packages -- Real-life resources.
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| Abstract
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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.
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| Subject
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Computer simulation.
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R (Computer program language)
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Scripting languages (Computer science)
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Statistics-- Data processing.
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Statistics-- Graphic methods-- Data processing.
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Computer simulation.
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COMPUTERS / Mathematical Statistical Software
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COMPUTERS / Programming Languages / General
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R (Computer program language)
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Scripting languages (Computer science)
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Statistics-- Data processing.
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| Subject
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Statistics-- Graphic methods-- Data processing.
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| Dewey Classification
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005.13
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| LC Classification
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QA76.73.R3
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