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Statistical Analysis in Simple Steps Using R

Statistical Analysis in Simple Steps Using R

First Edition
  • Kiran Pandya - Department of Human Resource Development, Veer Narmad South Gujarat University, Surat
  • Prashant Joshi - Department of Management, Uka Tarsadia University, Bardoli, Surat
  • Smruti Bulsari - Assistant Professor, Department of Human Resource Development, Veer Narmad South Gujarat University, Surat
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September 2018 | 344 pages | SAGE Texts

An open and dynamic software for statistical analysis, R has become increasingly popular among students and researchers alike for its powerful language and graphical abilities. This book incorporates a step-by-step approach to the basics of statistical tests, the prerequisites and assumptions, the procedures, and outputs and their interpretation all through the lens of R. It is a concise guide to procuring and using R, identifying the types of tests to examine different types of research questions, and the sequential steps for undertaking statistical analysis. Intended largely for readers who are new to statistics or R or to both, this textbook addresses the problems in statistical analysis often faced by the students of social science, education, and management.

Key Features

• Provides the necessary foundation for exploring the frontiers of data science

• Gives an overview of statistical techniques applicable to both cross-section and time-series data analysis using R

• Exercises provided at the end of the chapters to help the readers reinforce their learning 

• Applications of statistical techniques covering wide range of subject areas with examples from social sciences and medical sciences

• Robust companion website that includes practice problem datasets for students and solutions to problems, chapter-wise PPTs and teaching modules for instructors

Foreword by Dilip M Nachane
Data Management in R
Describing Data Graphically
Descriptive Statistics
Parametric Tests
Analysis of Variance
Two-Way Analysis of Variance
Analysis of Covariance
Correlation Analysis
Linear Regression Analysis
Nonparametric Tests
Principal Components and Factor Analysis
Logistic Regression
Cluster Analysis
Multidimensional Scaling
Introduction to Time Series Analysis
Volatility Analysis


Kiran Pandya

Prof Kiran Pandya obtained MPhil degree from the University of Poona, for which he studied at Gokhale Institute of Politics and Economics. He also holds first class master’s degree in economics from the M S University of Baroda. He was awarded a PhD by the University of Sussex (UK). The Commonwealth Commission in UK awarded him the Academic Staff scholarship to pursue his doctoral studies. Currently, he is working as a professor and head of the Department of Human Resource Development, Veer Narmad South Gujarat University, Surat (Gujarat, India). He has more than 35 years of teaching and research experience.... More About Author

Prashant Joshi

Dr Prashant Joshi is presently working as Professor and Head, Department of Management, Uka Tarsadia University, Gujarat (India). He is also the Dean, Faculty of Commerce and Management in his University. He studied Big Data and Analytics course at the University of Essex. He worked as a faculty member at Department of International Finance, I-Shou University, Taiwan, where he received Best Professor Appreciation Award. He also worked as a visiting professor at Cape Breton University, Canada. He has also made academic visits to Germany, France, Switzerland, Brussels and Luxemburg. He has more than 19 years of... More About Author

Smruti Bulsari

Dr Smruti Bulsari is currently an Assistant Professor in the Department of Human Resource Development, Veer Narmad South Gujarat University. She is the convener of the HR Analytics Cell of the Department. She holds a doctorate in economics and two master degrees in management and economics. Presently, she is pursuing her third master degree in data science from the Department of Mathematical Sciences, University of Essex (UK). She has been awarded the Academic Excellence Scholarship of the University of Essex to pursue this master degree. She strengthened her understanding and developed skills in data science... More About Author

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ISBN: 9789352807109