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R Recipes: A Problem-Solution Approach
Larry A. Pace
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 learn
Tips and tricks for making the migration to R smooth and seamless
Code recipes for I/O, data structures, transformations, strings, dates and more
How to use graphics and visualization in R
Using R for probability, statistics, hypothesis tests, linear regression time series and more
How to write practical code and templates for finance and big data analytics
Code for doing numerics or numerical analysis, beyond just statistical programming
Who this book is for
If 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.
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