R for beginners By Sandip Rakshit.

By:

Rakshit, Sandip

Material type: Text

TextPublication 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	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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