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...4.075e-16 *** Ts:t 4 6472.1 1618.01 140.780 < 2.2e-16 *** Ts:Te:t 8 4181.0 522.63 45.473 1.088e-13 *** Residuals 27 310.3 11.49 --- Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1 I need to extract "Residuals DF" and "Residuals MeanSq" from results > str(results) List of 1 $ :Classes ?anova? and 'data.frame': 5 obs. of 5 variables: ..$ Df : num [1:5] 2 4 4 8 27 ..$ Sum Sq : num [1:5] 1232 4889 6472 4181 310 ..$ Mean Sq: num [1:5] 616.1 1222.4 1618 522.6 11.5 ..$ F value: num [1:5] 53.6 106.4 140...

Hello, I am randomly generating values and then using an ANOVA table to find the mean square value. I would like to form a loop that extracts the mean square value from ANOVA in each iteration. Below is an example of what I am doing. a<-rnorm(10) b<-factor(c(1,1,2,2,3,3,4,4,5,5)) c<-factor(c(1,2,1,2,1,2,1,2,1,2)) mylm<-lm(a~b+c) anova(mylm) Since I would like to use a loop to

...evels have any records. Then I run: > adonis(CoastNear[,5:118]~Habitat, data = CoastNear,permutations=1000, + method='jaccard') Call: adonis(formula = CoastNear[, 5:118] ~ Habitat, data = CoastNear, permutations = 1000, method = "jaccard") Df SumsOfSqs MeanSqs F.Model R2 Pr(>F) Habitat 2.0000000 0.0092966 0.0046483 2.0549327 0.0707 0.005 Residuals 54.0000000 0.1221491 0.0022620 0.9293 Total 56.0000000 0.1314457 1.0000 This appears to be wrong - with only two Habitat levels I should...

...I do > aov( y~Modality*size + Error(Snr/(Modality*size)) ) I indeed get a result without any warning. Remembering a remark on unbalanced designs in aov, I ran the same (?..) test in NCSS. It too gives results without any warnings or errors, but they're not exactly the same. The DF, SumSQ, MeanSq and F values are the same for Snr:size and for Snr:size:Modality, but they are not (except DF) for Snr:Modality and Snr. (On fully balanced data, I did get the same values in both progs.) I have not found anything purporting to this specific situation in the documentation of either programme, so I...