Prof. Ram Dayal Munda Central Library Catalog

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Indira Gandhi National Tribal University, Amarkantak

Prof. Ram Dayal Munda Central Library

Online Public Access Catalogue

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R for everyone :

by Lander, Jared P.,
Series: The Addison Wesley data and anlytics series Edition statement:Second edition Published by : Pearson India: (Noida;) Physical details: xxiv, 528 pages : illustrations (some color) ; ISBN:9789386873521.
Subject(s): R (Computer program language) | Scripting languages (Computer science) | Statistics | Statistics | Computer simulation. | Computer simulation. | R (Computer program language) | Scripting languages (Computer science) | Statistics | Statistics
Year: 2018
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Item type Current location Collection Call number Status Date due Barcode
Books Books Prof. Ram Dayal Munda Central Library
Computer Science 005.13 LAN (Browse shelf) Available 67631
Books Books Prof. Ram Dayal Munda Central Library
Computer Science 005.13 LAN (Browse shelf) Available 67632
Books Books Prof. Ram Dayal Munda Central Library
Computer Science 005.13 LAN (Browse shelf) Available 67633
Books Books Prof. Ram Dayal Munda Central Library
Computer Science 005.13 LAN (Browse shelf) Available 67634
Books Books Prof. Ram Dayal Munda Central Library
Computer Science 005.13 LAN (Browse shelf) Available 67635
Browsing Prof. Ram Dayal Munda Central Library shelves, Collection: Computer Science Close shelf browser
005.13 HAS Automata theory language & computation / 005.13 HAS Automata theory language & computation / 005.13 LAN R for everyone : 005.13 LAN R for everyone : 005.13 LAN R for everyone : 005.13 LAN R for everyone : 005.13 LAN R for everyone :

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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