Asia Pacific University Library catalogue


R for everyone : advanced analytics and graphics / Jared P. Lander.

By: Lander, Jared PMaterial type: TextTextSeries: Addison-Wesley data and analytics seriesPublication details: Boston : Addison-Wesley, [2017]; ©2017Edition: 2nd editionDescription: xxiv, 528 pages : illustrations (some color) ; 23 cmISBN: 013454692X (pbk.); 9780134546926 (pbk.)Subject(s): R (Computer program language) | Scripting languages (Computer science) | Statistics -- Data processing | Statistics -- Graphic methods -- Data processing | Computer simulationDDC classification: 005.13 LOC classification: QA76.73.R3 | L36 2017
Contents:
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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Open Shelf 		Book QA76.73.R3 L36 2017 c.1 (Browse shelf (Opens below)) 1 Available 00012741
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Open Shelf 		Book QA76.73.R3 L36 2017 c.2 (Browse shelf (Opens below)) 2 Available 00012742
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QA76.73.R3 L36 2015 c.1 Machine learning with R : QA76.73.R3 L36 2015 c.2 Machine learning with R : QA76.73.R3 L36 2017 c.1 R for everyone : QA76.73.R3 L36 2017 c.2 R for everyone : QA76.73 .R33 2002 c.1 Perl for the web / QA76.73 .R33 2002 c.2 Perl for the web / QA76.73.S44 B73 1997 c.1 The concise <SGML> companion /

Includes indexes.

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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