KABACOFF R IN ACTION PDF

Grorisar R in Action by Robert Kabacoff. Perhaps one book to rule many. I have never thought that a programming book which can meet up to the high level. May 21, Arthur rated it it was amazing. Use the text to search and navigate the audioor download the audio-only recording for portable offline listening. And statistical analysis is only part of the story.

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Shelves: statistics-etc I may not have every R book, but I definitely have too many of them. This may be my favorite. It is not all inclusive, but the author covers many things not covered elsewhere and he has a personable and practical voice. I especially like his reminders about the underlying statistics and his frequent "how I do it" mention of the functions that he prefers from various packages.

I had been looking for some of these functions for a long time. He has great sections on regression diagnostics, on I may not have every R book, but I definitely have too many of them. He has great sections on regression diagnostics, on ANOVA, general linear models, power analysis and missing values. Also-I like the guy on the cover. Nevertheless, it was well-written with lots of in-depth use cases, much more detail than the cursory level covered by the Coursera R class I did at the same time.

Clearly written, well motivated by simple examples and lightly colorized with Mr. Almost no chapter provides enough information to make you an expert in a certain area, but almost all provide enough to enable you to achieve something tangible, and references to relevant reading material are consistently sprinkled throughout the text. If, like me, you lack deeper knowledge of statistical methods, you might find those chapters hard to follow, as only very brief statistical refreshes are provided.

Still, I believe that, if and when confronted with a real problem, chances are high this book would provide numerous pointers to high quality source material.

Highly recommended as a good basis for further learning and exploration, as well as a companion during initial delvings into R.

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R in Action

Shelves: statistics-etc I may not have every R book, but I definitely have too many of them. This may be my favorite. It is not all inclusive, but the author covers many things not covered elsewhere and he has a personable and practical voice. I especially like his reminders about the underlying statistics and his frequent "how I do it" mention of the functions that he prefers from various packages.

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