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R for beginners By Sandip Rakshit.

By: Material type: TextTextPublication details: India: McGraw Hill Education, c2017.Description: i-xiii+403PISBN:
  • 9789352604555
DDC classification:
  • 005.133 RAK-R
Contents:
A SHORT INTRODUCTION TO R PROGRAMMING USING R LISTS AND DATA FRAMES OBJECT-ORIENTED PROGRAMMING DEBUGGING IMPORT AND EXPORT MATHEMATICAL AND STATISTICAL CONCEPTS HYPOTHESIS TESTING DIFFERENT STATISTICAL DISTRIBUTION REGRESSION TIME SERIES ANALYSIS GRAPHICS CUSTOMISED PLOTTING ADD-ON PACKAGES
Summary: This book will lay a proper foundation of R language for beginners and strengthen the fundamentals for postgraduates, researchers and professionals alike. From basic installation of R, this book covers concepts such as importing data from other sources, statistical models to analyse data, testing hypothesis through various tests, building model using R analytics and so on. Learners with basic understanding of programing languages (i.e. C, C++) can comfortably graduate to R using this text. The stress is more on statistical and analytical parts. It is the first book on the subject by an Indian author.
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 005.133 RAK-R (Browse shelf(Opens below)) Available DCB4096

OBJECTIVE QUESTIONS
SUBJECTIVE QUESTIONS
PROGRAMMING EXERCISES
DEBUGGING EXERCISES
Case studies

A SHORT INTRODUCTION TO R
PROGRAMMING USING R
LISTS AND DATA FRAMES
OBJECT-ORIENTED PROGRAMMING
DEBUGGING
IMPORT AND EXPORT
MATHEMATICAL AND STATISTICAL CONCEPTS
HYPOTHESIS TESTING
DIFFERENT STATISTICAL DISTRIBUTION
REGRESSION
TIME SERIES ANALYSIS
GRAPHICS
CUSTOMISED PLOTTING
ADD-ON PACKAGES

This book will lay a proper foundation of R language for beginners and strengthen the fundamentals for postgraduates, researchers and professionals alike. From basic installation of R, this book covers concepts such as importing data from other sources, statistical models to analyse data, testing hypothesis through various tests, building model using R analytics and so on. Learners with basic understanding of programing languages (i.e. C, C++) can comfortably graduate to R using this text. The stress is more on statistical and analytical parts. It is the first book on the subject by an Indian author.

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