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R for everyone : advanced analytics and graphics /

By: Material type: TextTextSeries: Publication details: Boston : Addison-Wesley 2017Edition: 2nd edDescription: xxiv, 528 pages : Illustrations (some color)ISBN:
  • 013454692X
  • 9780134546926
Subject(s): LOC classification:
  • QA 76.73 LAN
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 Call number Status Date due Barcode
Book GIMPA Main Reference Section QA 76.73 LAN (Browse shelf(Opens below)) Available 68664
Book GIMPA Main General Stack QA 76.73 LAN (Browse shelf(Opens below)) Available 68665
Book GIMPA Main General Stack QA 76.73 LAN (Browse shelf(Opens below)) Available 68666
Book GIMPA Main General Stack QA 76.73 LAN (Browse shelf(Opens below)) Available 68667

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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