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

By: Material type: TextTextSeries: Addison-Wesley data and analytics seriesPublication details: Boston : Addison-Wesley, c2017.Edition: Second editionDescription: xxiv, 528 pages : illustrations (some color) ; 23 cmISBN:
  • 013454692X (pbk)
  • 9780134546926 (pbk)
Subject(s): DDC classification:
  • 005.13 23
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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Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode Item holds
Book Book Ayesha Abed Library New Arrivals Ayesha Abed Library New Arrivals 005.13 LAN (Browse shelf(Opens below)) 1 Available 3010045950
Total holds: 0

Includes index.

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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