- Paperback: 103 pages
- Publisher: Apress; 1st ed. edition (June 2, 2017)
- Language: English
- ISBN-10: 1484228804
- ISBN-13: 978-1484228807
- Product Dimensions: 6.1 x 0.3 x 9.2 inches
- Shipping Weight: 1.6 ounces (View shipping rates and policies)
- Average Customer Review: 1 customer review
- Amazon Best Sellers Rank: #1,085,430 in Books (See Top 100 in Books)
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Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance 1st ed. Edition
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From the Back Cover
- Find out about the anatomy of a function in R
- Look inside a function call
- Work with R expressions and environments
- Manipulate expressions in R
- Use substitutions
About the Author
Thomas Mailund is an associate professor in bioinformatics at Aarhus University, Denmark. He has a background in math and computer science. For the last decade, his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species. He has published Beginning Data Science in R and Functional Programming in R with Apress as well as other books out there.
Top customer reviews
1) I have the book "Advanced R" by Hadley Wickham but have not read it. I bet Hadley covers a lot of the same topics, so, if you already have his book, I can't guaranteee that there won't be some amount of overlap.
2) This is the review of "Meta Programming in R" ( without the data-science, finance in the title ) book that is no longer available. I am unclear of exactly what in the book has changed but, from looking at the table of contents, it doesn't look like much has changed.
3) There are typos in the explanations and the book could use a professional proofreader but these issues did not hinder me from understanding the intended meanings of the explanations.
Overall, a tremendous addition to your library if you're looking to understand the more difficult aspects of R.