An Introduction to R

Data Analysis and Visualization

  • Useful for beginners and also as a reference for more seasoned veterans.
  • Plenty of examples throughout, as well as additional notes and tips.
  • Chapter summaries in concise table format help the book to be used as an ongoing reference work.
    $46.00
    We currently have 983 in stock.

    Tags:
    • data analysis
    • modelling
    • professional development
    • r language
    • statistics

    Description

    The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. A huge open-source project, R has become enormously popular because of its power and flexibility. With R you can organise, analyse and visualise data. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science.

    Learning about data is important in many academic and business settings, and R offers a potent and adaptable programming toolbox. The book covers a range of topics, including: importing/exporting data, summarising data, visualising data, managing and manipulating data objects, data analysis (regression, ANOVA and association among others) and programming functions. Regardless of your background or specialty, you'll find this book the perfect primer on data analysis, data visualisation and data management, and a springboard for further exploration.

    DOI: 10.53061/THEE2596

    Table of Contents

    1. A brief introduction to R
    2. Basic math
    3. Introduction to R objects
    4. Making and importing data objects
    5. Managing and exporting data objects
    6. R object types and their properties
    7. Working with data objects
    8. Manipulating data objects
    9. Summarizing data
    10. Tabulation
    11. Graphics: basic charts
    12. Graphics: adding to plots
    13. Graphics: advanced methods
    14. Analyze data: statistical analyses
    15. Programming tools
    Appendix
    Index

    About the Author

    Mark Gardener is a self-employed scientist and consultant, with a PhD in ecology. Currently, he provides data analysis and consultancy across a wide range of disciplines. Mark specialises in the use of the R Project for Statistical Computing.

    Bibliographic Information

    • 384 pages
    • 54 figures
    • BISAC COM021030, COM077000
    • BIC GPH, UNC, UFM