I bogged down about half way through reading the Green Book, in part because it became increasingly difficult to understand how some of the ideas related to R, as opposed to S (which I have not used). Does any reader know whether there is a document that points out differences between S and R that would be helpful in reading the Green Book? Ideally, perhaps, I need a "crib sheet" to help relate "Programming with data" to R, as opposed to S. And, incidentally, in the opinion of those who have read all three, which of the books, blue, green, or white (or maybe V & R "S programming"?), would be most recommended as the next book for one who would move beyond advanced beginner status? (Programming experience in Fortran, APL, Python, small-system assembly language, but not C). Ben Fairbank San Antonio, Texas baf@texas.net [[alternative HTML version deleted]]
On Fri, Jun 20, 2008 at 11:33 AM, Ben Fairbank <BEN at ssanet.com> wrote:> I bogged down about half way through reading the Green Book, in part > because it became increasingly difficult to understand how some of the > ideas related to R, as opposed to S (which I have not used). Does any > reader know whether there is a document that points out differences > between S and R that would be helpful in reading the Green Book? > Ideally, perhaps, I need a "crib sheet" to help relate "Programming with > data" to R, as opposed to S. And, incidentally, in the opinion of those > who have read all three, which of the books, blue, green, or white (or > maybe V & R "S programming"?), would be most recommended as the next > book for one who would move beyond advanced beginner status? > (Programming experience in Fortran, APL, Python, small-system assembly > language, but not C).You may want instead to wait for John's forthcoming book "Software for Data Analysis: Programming with R". It was supposed to be out by now but there apparently have been delays (John says the delays have not been from his side) and Amazon.com now lists it as being available on Jul. 18> > > > Ben Fairbank > > San Antonio, Texas > > baf at texas.net > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >
Dear Ben, Do you mean "Statistical Computing" by Crawley? In that case, there is a web appendix showing some differences between R and S-Plus. There is also John Fox?s Book "Companion to Applied Linear Regression" that compares R and S-Plus, and Richard Heiberger?s book (Heiberger & Holland) comparing S-Plus, R and SAS. Hope this helps-. Best wishes Christoph> I bogged down about half way through reading the Green Book, in part > because it became increasingly difficult to understand how some of the > ideas related to R, as opposed to S (which I have not used). Does any > reader know whether there is a document that points out differences > between S and R that would be helpful in reading the Green Book? > Ideally, perhaps, I need a "crib sheet" to help relate "Programming with > data" to R, as opposed to S. And, incidentally, in the opinion of those > who have read all three, which of the books, blue, green, or white (or > maybe V & R "S programming"?), would be most recommended as the next > book for one who would move beyond advanced beginner status? > (Programming experience in Fortran, APL, Python, small-system assembly > language, but not C). > > > > Ben Fairbank > > San Antonio, Texas > > baf at texas.net > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >