search for: crosstyp

...is an ANOVA with some crossed factors, interactions, and one nested factor. I have listed them here: (Factors "foresttype" through to "experiment" are all at the same level; there is no nesting there, but the last factor listed is nested). foresttype region foresttype:region crosstype foresttype:crosstype experiment linelabel (nested within every cell) ...and these are the appropriate F-test error terms: foresttype -> tested against foresttype:crosstype interaction, everything else -> tested against linelabel(nested) I expect unequal sample sizes, so i have been trying...

I am trying to use multcomp to do a Tukey posthoc on growth increments among genetic crosstypes. #Fixed effect model m1 <- lm(inc ~ 0 + Age+ Crosstype + Sex, data = Data.age) summary(m1) RESULTS of the model: summary(m1) Call: lm(formula = inc ~ 0 + Age + Crosstype + Sex, data = Data.age) Residuals: Min 1Q Median 3Q Max -0.87180 -0.34002 -0.02702 0.27710 2...

...same set-up for them: each individual cross only gives one value for a response variable, and has one state with respect to each factor. Just in the interests of clarifying things as much as possible: one of my datasets looks like this(apologies if the formatting gets weird): foresttype region crosstype experiment linelabel yproductivity l g wx 1 al1 63 l g wx 1 al2 26 ... and so on. Each horizontal line refers to a single observation. The first horizontal line, for ex...