Hello all,
Can any of you R gurus help me out? I’m not all that great at stats to
begin with, and I’m also learning the R ropes (former SAS user).
Here’s what I need help with… I have a nested sample design and ran a
nested anova, but I don’t know how to interpret the results
habitat (four different types) is nested in site (three types), and site is
nested in gear (two types)
My code: pat2<-aov(catchrate~habitat/site/gear, data=pat)
This created the following outcome:
Df Sum Sq Mean Sq
F value Pr(>F)
habitat 3 2.932 0.9774
0.9543 0.4155656
habitat:site 8 18.716 2.3395
2.2842 0.0235207
habitat:site:Gear 12 39.244 3.2704
3.1930 0.0003546
Residuals 186 190.505 1.0242
What exactly does this outcome mean? It looks like there are differences
between gears and sites, but not among habitats. Which gear is better,
which site is better, which gear works better in each site, etc.?
I’ve looked for some post hoc code to do this, but I can’t find anything and
I am at wits end.
Thanks,
Rick M.
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