An Introduction to R - Mark Gardener

An Introduction to R

Data Analysis and Visualization

(Autor)

Buch | Softcover
384 Seiten
2023
Pelagic Publishing (Verlag)
978-1-78427-338-5 (ISBN)
43,65 inkl. MwSt
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. 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.
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.

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

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

Erscheinungsdatum
Reihe/Serie Research Skills
Zusatzinfo 54 Figures
Verlagsort Exeter
Sprache englisch
Maße 170 x 244 mm
Gewicht 680 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
ISBN-10 1-78427-338-4 / 1784273384
ISBN-13 978-1-78427-338-5 / 9781784273385
Zustand Neuware
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