Statistics With R
Solving Problems Using Real-World Data
- Jenine K. Harris - Washington University in St.Louis, USA
—David A.M. Peterson, Department of Political Science, Iowa State University
Drawing on examples from across the social and behavioral sciences, Statistics with R: Solving Problems Using Real-World Data introduces foundational statistics concepts with beginner-friendly R programming in an exploration of the world’s tricky problems faced by the “R Team” characters. Inspired by the programming group “R Ladies,” the R Team works together to master the skills of statistical analysis and data visualization to untangle real-world, messy data using R. The storylines draw students into investigating contemporary issues such as marijuana legalization, voter registration, and the opioid epidemic, and lead them step-by-step through full-color illustrations of R statistics and interactive exercises.
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Supplements
- a password-protected site for complete and protected access to all text-specific instructor resources;
- test banks that provide a diverse range of ready-to-use options that save you time. You can also easily edit any question and/or insert your own personalized questions;
- tutorial videos produced exclusively for this text that demonstrate how to use R to conduct key statistical tests using real-world data;
- editable, chapter-specific PowerPoint® slides that offer complete flexibility for creating a multimedia presentation for your course;
- downloadable Coder (beginner/intermediate) and Hacker (advanced) exercises from the book can be used as homework or labs. Students can take the multiple-choice pre-test questions electronically first to check their level;
- downloadable data files and R code are available for use with the book and exercises
- solutions to selected in-text exercises;
- Instructor Ideas for Gamification compiled by the author are offered for those who want to gamify their course; and
- full-color figures from the book available for download.
- an open-access site that makes it easy for students to maximize their study time, anywhere, anytime;
- tutorial videos produced exclusively for this text that demonstrate how to use R to conduct key statistical tests using real-world data;
- downloadable Coder (beginner/intermediate) and Hacker (advanced) exercises from the book. Students can take the multiple-choice pre-test questions electronically first to check their level; and
- downloadable data files and R code are available for use with the book and exercises.
“Statistics With R is easily the most accessible and almost fun introduction to statistics and R that I have read. Even the most hesitant student is likely to embrace the material with this text.”
“This is an entertaining and unorthodox text that explains statistical concepts in a way that engages students and rewards them for achievements. As useful to instructors as it is to their students.”
“This text makes the R statistics software accessible to all students by providing excellent examples and step-by-step processes. The student gains mastery over statistical analysis that can be applied to the real world.”
“This is an engaging textbook for learning statistics and R at the same time.”
“Using a simple but engaging style, this textbook relies on three friendly characters to introduce and explore the most common statistical problems students will face in their career. And, as a bonus, students learn how to use and master R for analyzing and illustrating simple and complex data sets.”
“There are many good statistics textbooks on the market- and there are equally good books that teach R; there are very few that do both. This book fills this gap. Students who use this text will benefit not only from having a top-notch stats textbook, but a great resource for how to conduct their analysis in R.”
“Allowing students to see how statistics is actually relevant to them through guided stories is a priceless experience. This text provides cross-cutting skills in R programming that students can take away with them for their CVs/résumés and career development."
“A unique introduction to statistics using characters in a storyline who are themselves learning how to solve real case studies using the R programming language. The first statistics textbook of its kind!”
“This is a wonderful, innovative statistics text that integrates R coding into learning about quantitative methods. The highly engaging lessons walk students through each stage of the analytical process and teach students how to perform a statistical analysis, including the presentation of results in graphical form, using code.”