| R for SAS and SPSS Users (Statistics and Computing) | 
| Author: Robert A. Muenchen
Publisher: Springer
Category: Book
List Price: $74.95
Buy New: $53.96
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Avg. Customer Rating:   (2 reviews)
Sales Rank: 42927
Languages: English (Original Language), English (Unknown), English (Published)
Media: Hardcover
Edition: 1
Number Of Items: 1
Pages: 470
Shipping Weight (lbs): 1.8
Dimensions (in): 9.3 x 6.1 x 1
ISBN: 0387094172
Dewey Decimal Number: 621.36
EAN: 9780387094175
ASIN: 0387094172
Publication Date: October 24, 2008
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| Editorial Reviews:
Product Description
R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R?s built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages? differing approaches. The programs and practice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. "This is a really great book. It is easy to read, quite comprehensive, and would be extremely valuable to both regular R users and users of SAS and SPSS who wish to switch to or learn about R?An invaluable reference." - David Hitchcock, University of South Carolina "Thanks for writing R for SAS and SPSS Users--it is a comprehensible and clever document. The graphics chapter is superb!" - Tony N. Brown, Vanderbilt University "This is a Rosetta Stone for SPSS and SAS users to start learning R quickly and effectively." - Ralph O'Brien, ASA Fellow "I am a professional SAS and SPSS programmer and found this bookextremely useful." - Tony Chu, Public Policy Research Data Analyst
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| Customer Reviews:
Preview now and later, a review January 6, 2009
I'm now reading this book (CH 14 of 24) and will write more thoroughly later when I finish. I have read the early 80 page version available for free here: http://oit.utk.edu/scc/RforSAS&SPSSusers.pdf
I'm used and taught SAS and SPSS since about 1982, and like many statisticians, it seems that much of the new statistical developments are coming out in the free R language, rather than SAS or SPSS. The number of new statistical packages in R is rapidly increasing, including packages supported by high quality textbooks. It also seems to me that SAS and SPSS have, oxymoronically, become "business intelligence" rather than cutting-edge tools for academic research.
There are many good books for R experts, and good beginners books are starting to come out. Before Muenchen's book, there was nothing for the experienced SAS/SPSS programmer to learn R. Since R is object-oriented, it "thinks" quite differently from SAS and SPSS, and you spend as much time unlearning old approaches as learning new ones.
The author of R FOR SAS AND SPSS USERS knows how SAS/SPSS programmers think, since he is one of us and has spent decades at UT teaching people to manage and analyze data. This makes his explanations seem intuitive and natural without the "one hand clapping" feeling you get from R "help" messages. It is not only a good introduction but goes into considerable detail to cover basic and intermediate R programming. The style is simple and lucid. Unlike some R material, the book is rich in concrete examples during exposition. Each chapter has 3 tables of similar code in SAS, SPSS, and R, which may help it serve as a "lookup book" during programming.
My conclusion so far: If you have some years with SAS or SPSS and you want to learn R, this will be your #1 book.
Review from DecisionStats.com November 3, 2008
3 out of 3 found this review helpful
I'm the author posting this review written by Ajay Ohri at DecisionStats.com. Cheers, Bob Muenchen
REVIEW
Introduction- Even though R is a very powerful tool and is free, people with SAS and SPSS background have trouble adapting to R language. That is because all data objects in SAS, SPSS are in fixed rectangular layout, and the programmer just needs to write a series of pre given functions to give results. In R the flexibility of functions, and the sheer diversity of it can confuse and confound the SAS and SPSS programmer wanting to learn it. Note that most SAS and SPSS programmers are corporate users, thus they pay for licenses only by just signing the approved email, and they have a paucity of time.
The technical review-
The book is lucid, exhaustive and lists down all reasons for and against R in an objective scientific manner. It goes in great detail, has ready datasets and offers the earlier reference sheet from its websites (RforSASandSPSSusers.com). At 75 $ it is not expensive considering the cost of other textbooks in this domain. Having both SAS and SPSS can be a distraction as many SPSS users actually use its click and point interface rather than write raw syntax- perhaps those screenshots should be included.
It thus gives you the side effect of teaching you twice the languages you wanted to learn, but that's a good thing. Of course you can choose to ignore the second language if you don't want to learn it.Maybe this book can be split into R for SAS users and R for SPSS users separately (unless Muenchen is trying an agenda of unifying the whole analytics world - a common theme in November 2008 in the USA ;) )
The book is very easy to understand, providing a step by step way of learning R thoroughly. In addition it uses screenshots extensively to make the point. However this sometimes slows the pace down of the book as it resorts to oversimplification for an advanced SAS users . It does have a good reference guide for people who just need R for some functions like graphics to be used in combination with WPS or Base SAS. You can simply pick and choose.
However it would have been great if there was a CD version.Perhaps it would be in the next edition.
An additional point is that it tries to briefly explain advanced statistical functions (or SAS/STAT equivalents). Some more depth in this section especially to the very popular logistic and linear regression techniques would have helped.(I.e a Chapter on how to build, validate and test a scoring risk model using R).
However you can use the existing chapters to get started on the modeling and iteratively come to its solutions. Some more coverage of Graphical User Interface would have helped, even though that that would have helped many people to simply go to the easy way of using click and get results of the RCmdr and Rattle GUI.
Overall- a great textbook, you would need to spend an hour a day for as much as three weeks to master the book and once you do it would be worth it.
I highly recommend this book for both technical and business users, and for libraries as a reference guide. Both corporate and academic users would relate to the readability of the book.
The business case review-
In these troubled economic times, if you have to choose between cutting down your software costs or your supervisor having to choose all his software AND employee costs, would you take the time and 75 $ to learn two additional analytics platforms. Because that is what this book by Muenchen does, it can teach SAS to R programmers, and SPSS to both. It's almost a triple pack combo.
Muenchen spent two years creating a textbook and off the shelf manual for all three languages. Given the fact that the Base SAS language is also supported by WPS ( a software that costs only 600 dollars a year and reads/writes SAS codes and datasets), this book deals with both SAS and WPS languages
Wait a minute ! That's what all advertisers say...but this is an honest review.(Gandhian Economics-If price of everything was demand and supply, then price of honesty would be infinite- because the supply is so low and the demand so high.)
Summary-
Buying this book for yourself or a friend could thus save your organizations a lot of money, give you additional skills on your resume and give you bragging rights at the cooler for knowing three languages (SAS, SPSS and R) - all for the price of $ 75 .
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