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(Ebook) R Recipes: A Problem-Solution Approach by Larry A. Pace ISBN 9781484201312, 1484201310

  • SKU: EBN-4967734
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Authors:Larry A. Pace
Pages:264 pages.
Year:2014
Editon:1
Publisher:Apress
Language:english
File Size:6.07 MB
Format:pdf
ISBNS:9781484201312, 1484201310
Categories: Ebooks

Product desciption

(Ebook) R Recipes: A Problem-Solution Approach by Larry A. Pace ISBN 9781484201312, 1484201310

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. What you’ll learnTips and tricks for making the migration to R smooth and seamlessCode recipes for I/O, data structures, transformations, strings, dates and moreHow to use graphics and visualization in RUsing R for probability, statistics, hypothesis tests, linear regression time series and moreHow to write practical code and templates for finance and big data analyticsCode for doing numerics or numerical analysis, beyond just statistical programming Who this book is forIf you’re new to R, then R Recipes will help get you started. If you’re an experienced data programmer, then it will remind you as well as expand upon your knowledge base; so, you’ll get the job done faster and learn more about R in the process.Table of Contents1. 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
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