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I switched from SAS to R. I was using "SAS Code for Some Advanced Experimental Designs" as a reference whenever I had data from experimental design studies. With advanced experimental designs I always have difficult to come up with right R code. Specifically I have a tough time with mixed effects analysis. I couldn't find any comprehensive material for analyzing advance experimental designs in R. I'd highly appreciate if someone point out any such material. It'd be nice if someone translate these SAS Codes for Some Advanced Experimental Designs to R Code for Some Advanced Experimental Designs.

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    $\begingroup$ Interesting question. Of course, if there's a specific type of analysis that you know how to perform in SAS, but not in R, then that might make a good separate question here. $\endgroup$ – Jeromy Anglim Sep 22 '11 at 8:14
  • $\begingroup$ @JeromyAnglim: Thanks for your appreciation. 'Split-Plot Designs' (SPD), Split-Block (Strip-Plot) Designs (SBD) and Split-Split-Plot Design (SSPD) specifically in Mixed Model context. $\endgroup$ – MYaseen208 Sep 22 '11 at 8:44
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    $\begingroup$ Have you seen this? cran.r-project.org/web/views/ExperimentalDesign.html $\endgroup$ – Roman Luštrik Sep 22 '11 at 8:49
  • $\begingroup$ @RomanLuštrik: Thanks for pointing cran.r-project.org/web/views/ExperimentalDesign.html. I already looked it. My question is much related to R codes. Thanks $\endgroup$ – MYaseen208 Sep 22 '11 at 9:00
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Here are a few resources for performing various types of mixed and factorial ANOVA in R:

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There is a book by John Lawson Design and Analysis of Experiments with R

That same author has also written a book with same title using SAS Design and Analysis of Experiments with SAS

This might give you a starting point!!

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