Yes, You can try one that is becoming a classic in this subject: "Design and Analysis of Experiments. Douglas C. MontGomery. 5th Edition. John Wiley and Sons". Although professor Douglas prefers Minitab and Design-Expert to illustrate his examples. And if you are interested in getting more examples based in S, you can download the S-Plus statistics manuals (S-Plus Guide to Statistics - Part I. It is a very large pdf file) which have one entire chapter dedicated to this issue (Designed Experiments and Analysis of Variance - Chapter 15), at least covers the most typical kind of experimental designs. Note that some of the functions are not implemented in R yet. The URL where you can find these manuals is as follows: http://www.insightful.com/resources/doc/unixdoc.html. Hope that this helps. Carlos Ortega. -----Mensaje original----- De: eac at ma.adfa.edu.au [mailto:eac at ma.adfa.edu.au] Enviado el: martes 18 de septiembre de 2001 8:39 Para: R Help list Asunto: [R] textbook on experimental design? I'll be teaching a graduate course on (the analysis of) experimental designs next year, using R. Does anyone know of a suitable textbook? (Venables and Ripley MASS Ch6 on Linear Models covers roughly the right material, but at a level that is way too difficult for my students.) Sorry if this has been asked before. I've looked through the archives and found Julian Faraway's book, but that's mainly regresion. Thanks, Ted. Dr E.A. Catchpole School of Maths & Stats Honorary Senior Research Fellow University College, UNSW Institute of Maths & Stats Australian Defence Force Academy University of Kent at Canterbury Canberra, ACT 2600, Australia Canterbury CT2 7NF, England e-catchpole at adfa.edu.au E.A.Catchpole at ukc.ac.uk www.ma.adfa.edu.au/~eac fax: +61 2 6268 8886 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-. -.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._. _._ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
textbook on experimental design?
4 messages · Ortega Fernandez, Carlos (carlos), Kjetil Halvorsen, Peter Dalgaard +1 more
Hola! Might be thta Montgomery's is becoming a classic, but to actually learn design of experiments for the first time from that book seems rather difficult to me. Better to go with an other classic, Bkox, Hunter & Hunter "Statistics for experimenters" (which exist in a spanish translation, if anyone interested) Kjetil Halvorsen.
"Ortega Fernandez, Carlos (carlos)" wrote:
Yes, You can try one that is becoming a classic in this subject: "Design and Analysis of Experiments. Douglas C. MontGomery. 5th Edition. John Wiley and Sons". Although professor Douglas prefers Minitab and Design-Expert to illustrate his examples. And if you are interested in getting more examples based in S, you can download the S-Plus statistics manuals (S-Plus Guide to Statistics - Part I. It is a very large pdf file) which have one entire chapter dedicated to this issue (Designed Experiments and Analysis of Variance - Chapter 15), at least covers the most typical kind of experimental designs. Note that some of the functions are not implemented in R yet. The URL where you can find these manuals is as follows: http://www.insightful.com/resources/doc/unixdoc.html. Hope that this helps. Carlos Ortega. -----Mensaje original----- De: eac at ma.adfa.edu.au [mailto:eac at ma.adfa.edu.au] Enviado el: martes 18 de septiembre de 2001 8:39 Para: R Help list Asunto: [R] textbook on experimental design? I'll be teaching a graduate course on (the analysis of) experimental designs next year, using R. Does anyone know of a suitable textbook? (Venables and Ripley MASS Ch6 on Linear Models covers roughly the right material, but at a level that is way too difficult for my students.) Sorry if this has been asked before. I've looked through the archives and found Julian Faraway's book, but that's mainly regresion. Thanks, Ted. Dr E.A. Catchpole School of Maths & Stats Honorary Senior Research Fellow University College, UNSW Institute of Maths & Stats Australian Defence Force Academy University of Kent at Canterbury Canberra, ACT 2600, Australia Canterbury CT2 7NF, England e-catchpole at adfa.edu.au E.A.Catchpole at ukc.ac.uk www.ma.adfa.edu.au/~eac fax: +61 2 6268 8886 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-. -.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._. _._ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
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kjetil halvorsen <kjetilh at umsanet.edu.bo> writes:
Hola! Might be thta Montgomery's is becoming a classic, but to actually learn design of experiments for the first time from that book seems rather difficult to me. Better to go with an other classic, Bkox, Hunter & Hunter "Statistics for experimenters" (which exist in a spanish translation, if anyone interested) Kjetil Halvorsen.
Also, in this context one should probably mention Cochran & Cox: Experimental Designs. Probably mostly as supplemental reading, it is not much of a textbook, and it has the weakness that it doesn't have anything about random effects. However, it is a classic (and the slightly old-fashioned style can be quite charming for students), and some may remember that good ol' Genstat came with a full set of worked examples from that book to show how the model formulas would work out.
O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
Many thanks to all who have replied so far. Yes, Cochran & Cox is an old favourite of mine. I've also got, on my top shelf, an old Genstat manual . . . maybe it's time I dusted it off. It's surprising how old most of the books are that people are referring to. The availability of great software like R means that the whole emphasis of an experimental design course needs to change, I feel. An elementary version of Chapter 6 of VR, expanded from 70 pages to 300 or so, would be just the trick. Maybe Bill Venables should put it on his to-do list . . . Cheers, Ted. Dr E.A. Catchpole School of Maths & Stats Honorary Senior Research Fellow University College, UNSW Institute of Maths & Stats Australian Defence Force Academy University of Kent at Canterbury Canberra, ACT 2600, Australia Canterbury CT2 7NF, England e-catchpole at adfa.edu.au E.A.Catchpole at ukc.ac.uk www.ma.adfa.edu.au/~eac fax: +61 2 6268 8886
On 19 Sep 2001, Peter Dalgaard BSA wrote:
kjetil halvorsen <kjetilh at umsanet.edu.bo> writes:
Hola! Might be thta Montgomery's is becoming a classic, but to actually learn design of experiments for the first time from that book seems rather difficult to me. Better to go with an other classic, Bkox, Hunter & Hunter "Statistics for experimenters" (which exist in a spanish translation, if anyone interested) Kjetil Halvorsen.
Also, in this context one should probably mention Cochran & Cox: Experimental Designs. Probably mostly as supplemental reading, it is not much of a textbook, and it has the weakness that it doesn't have anything about random effects. However, it is a classic (and the slightly old-fashioned style can be quite charming for students), and some may remember that good ol' Genstat came with a full set of worked examples from that book to show how the model formulas would work out. -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
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