Hi, your post is hardly readable because it is so spread out over several pages. Can you repost it?
Besides that I do not understand your question fully. The y is your dependent variable and as it looks the A*B would be Sulfur*Nitrogen if these are your variable names. You can also take a look at the manuals that are available for free on cran. Most of them deal with ANOVA I would say. Cheers, Daniel ------------------------- cuncta stricte discussurus ------------------------- -----Ursprüngliche Nachricht----- Von: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Im Auftrag von David Mackovjak Gesendet: Wednesday, March 19, 2008 6:02 PM An: r-help@r-project.org Betreff: [R] Two Way ANOVA First time using, the mailing list and I'm somewhat new to R, so excuse me if I do anything wrong. I was wondering how I would set up a two way ANOVA for the following data: Nitrogen (0) Nitrogen (20) (cell means) (cell means) [Sulfur means] Sulfur (0) 4.48 5.76 4.52 (4.54) 5.64 (5.73) [5.14] 4.63 5.78 Sulfur (3) 4.70 7.01 4.65 (4.64) 7.11 (7.05) [5.84] 4.57 7.02 Sulfur (6) 5.21 5.88 5.23 (5.27) 5.82 (5.81) [5.54] 5.38 5.73 Sulfur (9) 5.88 6.26 5.98 (5.81) 6.26 (6.30) [6.11] 5.91 6.37 [Nitrogen means] [5.10] [6.22] Source ofVariation SSSulfur 3.15 Nitrogen 7.59 Sulfur x Nitrogen 3.84 Error 0.08Total 14.66 >From googling I know I want to get it to the form: > fit <- aov(y ~ A*B, data=mydataframe) But what would I set for A, B and y? ____________________________________________________________________________ ________ Looking for last minute shopping deals? ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
