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November 19, 2013


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Thanks for the link. I wasn't so happy with Muenchen's book that you also mention, though. Despite the title, it read like any other introduction to R and I did not see how it translated "thinking in Stata" into R very well.
I expected to see something like "if you use macros in stata, that would be ... in R" or "here's how you find your 'variables' if you are used to thinking in spreadsheet-like data". Instead it is the "usual R as a calculator", "vectors, arrays and matrices" introduction without much reference to Stata.

Here's a review of R for Stata Users from Peter Goff:

My first foray into R programming was infuriatingly unproductive. I needed something that could lay out an introduction into R that would build upon my existing knowledge of statistical programming, namely Stata. This book does just that - it identifies commands and structures that are direct parallels and directs attention towards the portions of R that are fundamentally different from Stata. The authors provide excellent examples and full example files. Since I have been using this book my experiences with R have been much more productive and far less frustrating.

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