[R] Mixed model Nested ANOVA

From: Stephen Cole <swbcole_at_gmail.com>
Date: Fri, 22 Feb 2008 14:08:24 -0400


hello R help

I am trying to analyze a data set that has been collected from a hierarchical sampling design. The model should be a mixed model nested ANOVA. The purpose of my study is to analyze the variability at each spatial scale in my design (random factors, variance components), and say something about the variability between regions (fixed factor, contrast of means). The data is as follows;

region (fixed)
Location (random)
Site(random)

site nested in location nested in region.

I would like to run this as an ANOVA and then compute variance components.

My question is when i use the aov command; mod1 <- aov(density ~ region/location/site)
is there any way to tell R which factor is random and fixed.

I know i can specify fixed and random factors using lme or lmer but these methods do not allow me to extract an anova table (or do they?) I know that the data can be analyzed using a nested ANOVA because i have based my design on several papers in the marine biological literature (MEPS). Thank-you for any advice in advance.

Stephen Cole

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