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 -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: application/pgp-signature Size: 189 bytes Desc: Digital signature Url : https://stat.ethz.ch/pipermail/r-help/attachments/20050912/b7182cf1/attachment.bin
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
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. > > -HaroldMy 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.
I was in a similar situation-I recommend (Crawley 2005) which I found to be quite inspiring with many excellent examples. http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470022981.html Crawley, M. J. 2005. Statistics: An introduction using R. John Wiley & Sons Ltd., Chichester, England. ______________________________________________________________________ EL CONTENIDO DE ESTE MENSAJE ES DE ABSOLUTA RESPONSABILIDAD DEL AUTOR. FUNDACION CHARLES DARWIN WWW.DARWINFOUNDATION.ORG
The Wonnacott & Wonnacott http://www.amazon.com/exec/obidos/tg/detail/-/0471615188/qid=1126532904/sr=8-1/ref=pd_bbs_1/104-8196380-9551909?v=glance&s=books&n=507846 may be of interest hih Vincent
Everybody, thanks for your suggestions. I am planning to order at least these two: Peter Dalgaard _Introductory Statistics with R_ Andrew Gelman _Bayesian Data Analysis_ Also, while stumbling around amazon.com, I found this book: Statistical Reasoning in Psychology and Education, 4th edition by Edward W. Minium, Bruce M. King ISBN: 0471211877 This book looks perfect for me -- I can do math, learn R, etc, but WHY? Why use one method and not another? Why structure a problem one way and not another? These are the questions which really stump me. So, has anybody read this book? Is there a similar book which is even better? -- Make April 15 just another day, visit http://fairtax.org -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: application/pgp-signature Size: 189 bytes Desc: Digital signature Url : https://stat.ethz.ch/pipermail/r-help/attachments/20050913/a4cc3fee/attachment.bin