R software
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Dear All Hi. I would like to use R software in conjunction with my SPSS 17.0, my OS is Windows xp SP3. The main aim for me is calculation of PRESS (prediction sum of squares), and MSPR (mean squared prediction error) in cross validation. Would you mind giving me any suggestions about a book or reference that introduces me with R, please?
Kind regards
Mehrshad |
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What part of this thread failed to resolve your previous posted issue?
http://spssx-discussion.1045642.n5.nabble.com/cross-validation-using-SPSS-td4528990.html I believe I answered your question re PRESS and requested the equation(s) for MSPR .
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In reply to this post by Mehrshad Koleini
If you are looking for a general introduction to R, there are several resources on the cran-r website. I would also recommend John Verzani’s book, Introductory
Statistics with R, or something like that… wbw William B. Ware, Ph.D. McMichael Professor of Education Educational Psychology, Measurement, and Evaluation CB #3500 - 118 Peabody Hall University of North Carolina at Chapel Hill Chapel Hill, NC 27599-3500 Office: (919)-962-2511 Fax: (919)-962-1533 Office: 118 Peabody Hall EMAIL:
[hidden email] Adjunct Professor, School of Social Work Academy of Distinguished Teaching Scholars at UNC-Chapel Hill From: SPSSX(r) Discussion [mailto:[hidden email]]
On Behalf Of Mehrshad Koleini
Dear All Hi. I would like to use R software in conjunction with my SPSS 17.0, my OS is Windows xp SP3. The main aim for me is calculation of PRESS (prediction sum of squares), and MSPR (mean squared prediction error) in cross validation. Would you mind giving me any suggestions about a book or reference that introduces me with R, please? Kind regards Mehrshad |
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In reply to this post by Ware, William B
I second that. "Introductory Statistics with R" is written by a prime-mover in R, Peter Dalgaard. I like it because it takes the approach of teaching statistics, and showing how R can handle that. Given that you probably already know the statistics, I think that this is a good way to learn R. I also have Brian Everitt (and Torsten Hothorn): "A Handbook of Statistical Analyses Using R" - I like all Brian Everitt's handbooks. The online "Help" lists require that you have done all that you can do to research your problem with the resources available before you take the plunge and ask for their help. They get a bit shirty if they think that you haven't. Despite that, they do
get a lot of postings. Martin Holt Medical Statistician From: "Ware, William B" <[hidden email]> To: [hidden email] Sent: Sunday, 17 July 2011, 22:01 Subject: Re: R software If you are looking for a general introduction to R, there are several resources on the cran-r website. I would also recommend John Verzani’s book, Introductory
Statistics with R, or something like that…
wbw
William B. Ware, Ph.D.
McMichael Professor of Education
Educational Psychology, Measurement, and Evaluation
CB #3500 - 118 Peabody Hall
University of North Carolina at Chapel Hill
Chapel Hill, NC 27599-3500
Office: (919)-962-2511
Fax: (919)-962-1533
Office: 118 Peabody Hall
EMAIL:
[hidden email]
Adjunct Professor, School of Social Work
Academy of Distinguished Teaching Scholars at UNC-Chapel Hill
From: SPSSX(r) Discussion [mailto:[hidden email]]
On Behalf Of Mehrshad Koleini
Sent: Sunday, July 17, 2011 1:47 PM To: [hidden email] Subject: R software Dear All
Hi. I would like to use R software in conjunction with my SPSS 17.0, my OS is Windows xp SP3.
The main aim for me is calculation of PRESS (prediction sum of squares), and MSPR (mean squared prediction error) in cross validation.
Would you mind giving me any suggestions about a book or reference that introduces me with R, please?
Kind regards
Mehrshad
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The R Book - Crawley, 2007: 1 Getting Started 1 2 Essentials of the R Language 9 3 Data Input 97 4 Dataframes 107 5 Graphics 135 6 Tables 183 7 Mathematics 195 8 Classical Tests 279 9 Statistical Modelling 323 10 Regression 387 11 Analysis of Variance 449 12 Analysis of Covariance 489 13 Generalized Linear Models 511 14 Count Data 527 15 Count Data in Tables 549 16 Proportion Data 569 17 Binary Response Variables 593 18 Generalized Additive Models 611 19 Mixed-Effects Models 627 20 Non-linear Regression 661 21 Tree Models 685 22 Time Series Analysis 701 23 Multivariate Statistics 731 24 Spatial Statistics 749 25 Survival Analysis 787 26 Simulation Models 811 27 Changing the Look of Graphics 827 El 20/07/2011 10:20, Martin Holt escribió:
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In reply to this post by Martin Holt
I'd suggest having a look at http://www.r-project.org/ . On the left
hand side of the page there is a link to books. Books 101, 100, 88, 87, 84, 56 are all books I have consulted. There may also be some more recent good introductions (see books 4-7). I found I needed to use more than one introductory text. Regards Bob ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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