Dear all:
I need to perform a Yates analysis of a 2-level full factorial experiment
design.
My question is: how i can do it with R, or best, what's the package who i
need to use for this purpose.
Thanks.
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| Jorge Magalh?es Email: jmagalhaes at eng.uminho.pt |
| Departamento de Eng Mecanica Telem?vel: 966172200 |
| University of Minho Fax: + 351 253 516007 |
| Guimaraes Phone: + 351 276 333008 |
| Portugal Email: jorgemagalhaes at clix.pt |
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On Sun, 14 Nov 1999, Jorge Magalhaes wrote:> I need to perform a Yates analysis of a 2-level full factorialexperiment design.> My question is: how i can do it with R, or best, what's thepackage who i need to use for this purpose. As I understand it, Yates' algorithm is just a faster (FFT-like) way to do the normal hierarchical anova for a 2^n design, which aov() does via lm. In my experience, these days aov is quite fast enough on a 2^n design for feasible n (n <= 10, say). On the other hand, Frank Yates wrote rather a lot, and this may not be what you meant, in which case please ask again. -- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272860 (secr) Oxford OX1 3TG, UK Fax: +44 1865 272595 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- 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 _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._