Statistical Analysis Using R

Smruti Bulsari (Uni of Essex, UK)|Kiran Pandya (Veer Narmad South Gujarat University, India)

ISBN 10: 1032702826 / ISBN 13: 9781032702827

Published by Taylor & Francis, 2026

About this Item

Seller Inventory # 2651317713

Bibliographic Details

• Title: Statistical Analysis Using R
• Publisher: Taylor & Francis
• Publication Date: 2026
• Language: English
• ISBN 10: 1032702826
• ISBN 13: 9781032702827
• Binding: Hardcover
• Condition: New

About this title

Synopsis

The book is a unique blend of quantitative research and statistical analysis using R. Lucidly written, it covers a range of statistical techniques applicable to cross-sectional data in the backdrop of quantitative research and survey research. In addition to the basic concepts, this book also explores advanced multivariate statistics topics like principal components analysis, cluster analysis, multidimensional scaling and more.

This volume begins with an introduction to R, RStudio and gives a step-by-step approach to installation and usage. The chapters on quantitative data and sampling build the background for understanding quantitative and survey research. It gradually builds the foundations into descriptive and inferential statistics, while simultaneously providing and describing the R code as well as the interpretation of the output generated by executing that R code. This gives the reader clarity in both the techniques as well as the R code. Many examples relevant to different statistical analyses make the book interesting to readers across different disciplines.

The book will be useful to the students, researchers and teachers of Economics, Psychology, Management, Data Science, Education, and other social science disciplines. Students at undergraduate and graduate level, doctoral, post-doctoral and professional researchers, as well as teachers of research methodology and quantitative techniques will find this book a handy resource for using R for quantitative research.

About the Author

Smruti Bulsari is currently a Researcher at the Nuffield Department of Primary Care and Health Sciences, University of Oxford, prior to which she was with the University of Essex. She holds a PhD in Economics and Master’s degrees in Economics and Data Science. She has a wide experience of working with large datasets and different statistical software. She makes extensive use of R for quantitative analysis as well as developing simulation models in health economics. She has a wide experience of teaching and research; she has worked on research projects funded by NIHR, ESRC, British Academy, ICSSR and the Government of Gujarat.

Kiran Pandya is currently the Provost of Sarvajanik University. He has more than 40 years of teaching, research and administrative experience, out of which he was the Professor and Head in the Department of Human Resource Development, Veer Narmad South Gujarat University, Surat (Gujarat, India) for close to 16 years. He has conducted a large number of training programmes and workshops in quantitative techniques using different software, for researchers and academics. Kiran holds the degree of Doctor of Philosophy in Economics from the University of Sussex, for which he was awarded the Academic Staff Scholarship by the Commonwealth Commission in the UK.