Basics of R and Data Analysis in Research

ISBN Number : 978-93-5693-912-7

Student Price : Rs.475

Student Dollar Price : 19$

Library Price : Rs.1295

Library Dollar Price : 52$

Book Edition : First

Year of Publication : 2023

No. Of Pages : 208

Book Weight :346

About The Book

This book is written as a textbook for the students of all Indian Universities. It is presumed to meet the necessity of R programming as the skill enhancement course in UG level of the Universities as per National Educational Policy 2020.

This book will equip the readers with the fundamental techniques and tools needed to navigate the data-driven world with confidence. Throughout the book, the readers will find numerous examples, case studies, and exercises that encourage active learning. These practical exercises will help solidify understanding and develop problem solving skills.

This book will also help the UG and PG students of Physiotherapy, Psychology, Mathematics, Statistics, Economics, Commerce, Management, Medical Sciences, Life Sciences, Social Sciences and many more for their project work.


Contents -

1. Introduction to R
2. Writing in R Console
3. Variables
4. Decision-making Statement - if
5. Exploratory Data Analysis
6. Regression Analysis
7. Testing of Hypothesis - Parametric Tests
8. Testing of Hypothesis - Non Parametric Tests
9. Structural Equation Modelling

About The Author

The author of the book "Basics of R and Data Analysis in Research", Dr. Bapan Kalita is an Assistant Professor in the Department of Mathematics, The Assam Royal Global University. He is a former Assistant Professor in Royal School of Commerce, Guwahati. He is also a former Assistant Professor in the Department of Mathematics and Statistics in K.C. Das Commerce College, Guwahati. Besides, he has the experience of teaching in DOEACC-B level as a visiting faculty in AMTRON. He has Master of Science Degrees in Statistics and Mathematics. He did his M.Phil. in Statistics and did the Ph.D. in Mathematics. He has undergone a course on Machine Learning from Stanford University and a course on Python from MIT. He has worked with more than 15 Ph.D. scholars. He has many research papers in reputed journals.

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