Statistics Using R: An Integrative Approach

Statistics Using R is a textbook that introduces R programming and applied statistics using real data in the behavioral, social, and health sciences. It emphasizes the importance of data management and includes an online R tutorial, two R files for each chapter, and teaching and learning aids. It is appropriate for undergraduate and graduate students in social sciences, applied statistics, and research methods.

Format: Paperback / softback
Length: 725 pages
Publication date: 07 December 2023
Publisher: Cambridge University Press

Statistics Using R is a comprehensive textbook that provides an introduction to both R programming and applied statistics using real data in the behavioral, social, and health sciences. The book is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes an online R tutorial for learning the basics of R, as well as two R files for each chapter, one in Base R code and the other in tidyverse R code. These files are intended as models to be adapted and used by readers in conducting their own research.

In addition to the tutorial and R files, the textbook offers additional teaching and learning aids, such as solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter. The textbook is appropriate for both undergraduate and graduate students in social sciences, applied statistics, and research methods.

One of the key strengths of Statistics Using R is its emphasis on practical applications of R programming. The book covers a wide range of topics, including descriptive statistics, inferential statistics, regression analysis, and data visualization. It provides step-by-step instructions and examples to help readers apply R programming to real-world data sets and solve practical problems.

Another notable feature of the textbook is its focus on data management. The book emphasizes the importance of organizing, cleaning, and analyzing data efficiently and effectively. It covers topics such as data import and export, data manipulation, and data visualization using R packages such as dplyr, tidyr, and ggplot2.

In conclusion, Statistics Using R is a highly recommended textbook for anyone interested in learning R programming and applied statistics using real data in the behavioral, social, and health sciences. The book's emphasis on practical applications, data management, and real-world data sets makes it an invaluable resource for students and researchers in these fields.

ISBN-13: 9781009400121
Edition number: 2 Revised edition