Software for data analysis
programming with R
by John M. Chambers · first published 2008
67% recommend33% neutral
John Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for S, the only statistical software to receive this award. He is author or coauthor of the landmark books on S. Now he turns to R, the enormously successful open-source system based on the S language. R's international support and the thousands of packages and other contributions have made it the standard for statistical computing in research and teaching. This book guides the reader through programming with R, beginning with simple interactive use and progre
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This is a tremendous resource on the level of John Chambers's book Software for Data Analysis.
on “Advanced R programming” ↗…industrial applications. See Posit's customers. I suggest John Chambers ( https://en.wikipedia.org/wiki/John_Chambers_(statistician) ) book, he explain how he designed S language, R's grandfather so to speak, Software for Data Analysis ( https://link.springer.com/book/10.1007/978-0-387-75936-4 ).
on “Python is not a great language for data science” ↗Software for data analysis (John Chambers) is an R programming book but its unique position and style provides outstanding background on data frames and how statistical software should be. designed. One can of course extend this…
on “Origins of design of data frames: Software for data analysis (John Chambers)” ↗There are other books on R programming: John Chambers published "Programming with Data: A Guide to the S Language" in 1998 and "Software for Data Analysis: Programming with R" in 2008.
on “R, the master troll of statistical languages (2012)” ↗