rcmnd

Statistical Analysis with RBook

by John M. Quick

Who uses, recommends or left Statistical Analysis with R, in their own words: each a verbatim quote with a link to where it was said.

1 person

Daniel Lemire
Computer science professor who writes about software performance and indexing; blogs weekly at lemire.me.
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The book is colorful and ludic which is a good idea for a "Beginner's Guide". The layout is attractive, there are many detailed examples. I like the pedagogy: the author wants you to learn by doing. However, the book is poor as a reference: the coverage is limited despite the 300 pages and the chapter summaries are strictly non-technical.

A review of a beginner R book. He discloses: "I got a free copy of the e-book from the publisher with the expectation that I would publish a review."

2011-01-19·lemire.me ↗

Every entry is a verbatim quote and a link to the public post it came from. Nothing is paraphrased. If it is not on record somewhere public, it is not here.

The verdict is what they actually said: loved and liked are explicit; recommended means they told others to get it; uses means they only say they use it; read is a book on their public shelf with no verdict; mixed and disliked are kept too.

A dashed affiliate link, sponsored or their own label means the post disclosed a relationship. It is shown, never hidden.

The shading behind a date shows how dated a recommendation is for its kind of thing.

The shading behind a date shows how dated a recommendation is, for its kind of thing. Fully green is recent. It drains a quarter at a time as the post gets older, and is empty once it reads as dated.

What counts as old depends on the thing. A laptop praised four years ago has been replaced twice; a book loved twenty years ago is probably still loved. The shading is gone after about:

Stripes mean the post carries no date and the date shown is an estimate. No date at all, no shading.