Beschreibung
R Recipes is your handy problem-solution reference for learning and using the popular R programming language for statistics and other numerical analysis. Packed with hundreds of code and visual recipes, this book helps you to quickly learn the fundamentals and explore the frontiers of programming, analyzing and using R. R Recipes provides textual and visual recipes for easy and productive templates for use and re-use in your day-to-day R programming and data analysis practice. Whether you're in finance, cloud computing, big or small data analytics, or other applied computational and data science - R Recipes should be a staple for your code reference library.
Autorenporträt
Inhaltsangabe1. Migrating to R2. Input and Output3. Data Structures4. Merging and Reshaping Datasets5. Working with Dates and Strings6. Working with Tabular Data7. Working with Numerical Data8. Graphics and Data Visualization9. Probability Distributions10. Tests of Differences11. Tests of Relationships12. Modern Robust Statistics13. Writing Functions14. Working with Financial Data15. Dealing with Big Data16. Introduction to Text and Data Mining
Herstellerkennzeichnung:
APress in Springer Science + Business Media
Heidelberger Platz 3
14197 Berlin
DE
E-Mail: juergen.hartmann@springer.com
