Introduction. Foundations. Data structures. Subsetting. Vocabulary. Style guide. Functions. OO field guide. Environments. Debugging, condition handling, and defensive programming. Functional Programming. Functional programming. Functionals. Function operators. Computing on the Language. Non-standard evaluation. Expressions. Domain-specific languages. Performance. Performance. Optimising code. Memory. High performance functions with Rcpp. R’s C interface.
Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science. He is also the author of R for Data Science (with Garrett Grolemund), R Packages, and ggplot2: elegant graphics for data analysis.
"The development of progressive data analysis tools that are
technically excellent creates a superior opportunity for us as data
science users. The concepts of this book can enhance the overall
user experience and increase the likelihood that the developed
tools become preferred tools accomplishing the desired purpose.
Learning from Wickham's vast experience in R coding improves tools
that provide targeted users the ability to be more efficient,
clearer R analysis code writers, better debuggers of their own
syntax errors, and positioned to enjoy faster performance time.
These are many of the advantages I have enjoyed using tidyverse
developed by Wickham with the "Advanced R" philosophy."
~Technometrics"The book is packed with a ton of information,
insights, and knowledge drawn from the author's own experience. The
approach will be appreciated by the right audience – the audience
that is looking for a deeper understanding of the R language. At
times, the writing style reveals a personal reflection of how the
author's knowledge of the language has evolved. This is
beautiful."
~ISCB News
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