Beginning R : the statistical programming language/ by Mark Gardener.

By:

Gardener, Mark [Author.]

Material type:

TextLanguage: English Publication details: New Delhi : Wiley India Pvt. Ltd., 2018.Description: xix 475 p : ill. ; 24 cmISBN:

9788126541201 (PBK)

Subject(s):

Programming languages (R)

DDC classification:

005.133 GAR/B

Summary: Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming.

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Gratis Book	Central Library, IIT Bhubaneswar	Central Library, IIT Bhubaneswar			005.133 GAR/B (Browse shelf(Opens below))					Available			GB1179

Total holds: 0

Includes bibliographical references and index.

Conquer the complexities of this open source statistical language
R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming.

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