There is a Springer publication "All of Statistics: a concise course in statistical inference" by Larry Wasserman that might be what you are looking for. The book also has an emphasis on R and his web site has code and data sets for analysis of the examples used throughout. -Harold -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Joshua N Pritikin Sent: Monday, September 12, 2005 8:16 AM To: r-help at stat.math.ethz.ch Cc: heartlogic-dev at nongnu.org Subject: [R] remedial stats education In short: I didn't take enough stats courses in college. Now I am working on scientific research and I feel somewhat lost when it comes to designing the statistical framework. I have looked through the books at: http://www.r-project.org/doc/bib/R-books.html I even tried to read [17] Julian J. Faraway. Linear Models with R. This book is too advanced. It helped a little bit but I still feel lost. Can somebody recommend a textbook or textbooks suitable for a self-study stats course? Brief bio: I have 20 years background in software development. I know lots of computer languages including C++ and Perl. The computer language aspects of R seems fairly simple. I did some calculus in college but not more than 1-2 courses. I have a basic understanding of probability. I mostly understand descriptive statistics. I feel somewhat lost when it comes to statistical inference. I am good at self-study. I happily spend 12 hours a day reading dry technical manuals. About the research: I have designed a web-based questionaire. http://shared.openheartlogic.org My collaborator (equally stats inept) is working on a similar web-based questionaire http://ruminate.openheartlogic.org Ultimately, we want to publish in a peer-reviewed journal such as Emotion & Cognition or, at least, get a paper accepted at the annual Cognitive Science conference. Something like that. We have already started collecting data but not on a large scale since we are not confident about our statistical approach. This is a shot in the dark, but if a stats expert wants to collaborate with us then we would welcome that. We don't have much to offer except, what we think is, exciting research. In any case, a few textbook recommendations would probably help me a lot. -- Make April 15 just another day, visit http://fairtax.org
remedial stats education
3 messages · Doran, Harold, Charles Annis, P.E., Thomas Petzoldt
Given that your goal is understanding the fundamentals (a wise choice as it is problematic attempting to build on an inadequate foundation, and dangerous to use tools that you don't understand), I enthusiastically recommend Peter Dalgaard's book, _Introductory Statistics with R_. Springer, 2002. ISBN 0-387-95475-9. http://www.biostat.ku.dk/~pd/ISwR.html. It is inexpensive, well written, lucid and very helpful. After you've mastered that (and since this is remedial work for you it will not take very long) I further recommend Venables and Ripley, _Modern Applied Statistics with S_, Fourth Edition. Springer, 2002. ISBN 0-387-95457-0. http://www.stats.ox.ac.uk/pub/MASS4/. This book is more demanding and covers a broad spectrum of contemporary statistical practice. Charles Annis, P.E. Charles.Annis at StatisticalEngineering.com phone: 561-352-9699 eFax: 614-455-3265 http://www.StatisticalEngineering.com -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Doran, Harold Sent: Monday, September 12, 2005 8:27 AM To: Joshua N Pritikin; r-help at stat.math.ethz.ch Cc: heartlogic-dev at nongnu.org Subject: Re: [R] remedial stats education There is a Springer publication "All of Statistics: a concise course in statistical inference" by Larry Wasserman that might be what you are looking for. The book also has an emphasis on R and his web site has code and data sets for analysis of the examples used throughout. -Harold -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Joshua N Pritikin Sent: Monday, September 12, 2005 8:16 AM To: r-help at stat.math.ethz.ch Cc: heartlogic-dev at nongnu.org Subject: [R] remedial stats education In short: I didn't take enough stats courses in college. Now I am working on scientific research and I feel somewhat lost when it comes to designing the statistical framework. I have looked through the books at: http://www.r-project.org/doc/bib/R-books.html I even tried to read [17] Julian J. Faraway. Linear Models with R. This book is too advanced. It helped a little bit but I still feel lost. Can somebody recommend a textbook or textbooks suitable for a self-study stats course? Brief bio: I have 20 years background in software development. I know lots of computer languages including C++ and Perl. The computer language aspects of R seems fairly simple. I did some calculus in college but not more than 1-2 courses. I have a basic understanding of probability. I mostly understand descriptive statistics. I feel somewhat lost when it comes to statistical inference. I am good at self-study. I happily spend 12 hours a day reading dry technical manuals. About the research: I have designed a web-based questionaire. http://shared.openheartlogic.org My collaborator (equally stats inept) is working on a similar web-based questionaire http://ruminate.openheartlogic.org Ultimately, we want to publish in a peer-reviewed journal such as Emotion & Cognition or, at least, get a paper accepted at the annual Cognitive Science conference. Something like that. We have already started collecting data but not on a large scale since we are not confident about our statistical approach. This is a shot in the dark, but if a stats expert wants to collaborate with us then we would welcome that. We don't have much to offer except, what we think is, exciting research. In any case, a few textbook recommendations would probably help me a lot. -- Make April 15 just another day, visit http://fairtax.org ______________________________________________ R-help at stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Doran, Harold wrote:
There is a Springer publication "All of Statistics: a concise course in statistical inference" by Larry Wasserman that might be what you are looking for. The book also has an emphasis on R and his web site has code and data sets for analysis of the examples used throughout. -Harold
My personal recommendation for students and collegues is as follows: 1) Dalgaard, P.: Introductory Statistics with R. (for beginners, very understandable, R without too much programming) 2) Crawley, M.J. Statistical Computing. An introduction to data analysis using S-Plus. (great for ANOVA like methods and very good self-teaching how the methods work) ... and for further reading: * Venables, W.N. and Ripley, B.D. Modern applied statistics with S. (Systematic introduction into the S language and comprehensive reference over many classical and modern statistical techniques. Some [but not all] chapters are relatively demanding. The book, mostly called "MASS", is a must for serious S/R users.) * Pinheiro and Bates: Mixed-effects models in S and S-Plus. * Box, Jenkins and Reinsel: Time series analysis. Forecasting and control. * Legendre and Legendre: Numerical Ecology. 2nd edition. ... and many more ;-) depending on your skills and interests. Thomas P.