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Statistics Using R An Integrative Approach

This textbook has now been replaced with a newer edition. On 1st July 2025 it will be withdrawn from institutional access further information is available here. This will not affect customers who have redeemed access codes or purchased via ecommerce.

Authors

Sharon Lawner Weinberg
, New York University,
Daphna Harel
, New York University,
Sarah Knapp Abramowitz
, Drew University, New Jersey
Published 2020

Description

Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to learn from and adapt and use in their future data analytic work. Other unique features created specifically for this textbook include an online R tutorial that introduces readers to data…

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Key features

  • The textbook is suitable for those who do not have a strong background in mathematics
  • Perfect for introductory-level learners and allows for curriculum flexibility
  • Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R
  • Includes, as an online resource, R-code script files for all examples and figures, which students can learn from, adapt, and use in their future data analytic work
  • Contains an online R tutorial that introduces readers to data frames and other basic elements of the R architecture
  • Provides a CRAN library of datasets and functions that is used throughout the book, online solutions to all end-of-chapter exercises, and a set of PowerPoint slides that can be used as a study guide

About the book

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