[R] Nested anovas in R not doing what they ought to...
Michael Rennie
mike.rennie at ene.gov.on.ca
Thu Jul 11 17:07:34 CEST 2002
Hi, there
I first sent this e-mail a couple months ago, to no avail.Since I am not a member on your mailing list, so could you please cc: a response to me? I'll be sure to check the list today for replies.
I am currently attempting to perform an ANOVA with both nested and normal factors. My problem is that R is treating my nested factors the exact same way as it would interaction terms.
My output for the nested model is as follows:
> nested <- anova(lm(ltotinv ~ habitat + fish/lake + habitat:fish + habitat:(la\
ke %in% fish)))
> nested
Analysis of Variance Table
Response: ltotinv
Df Sum Sq Mean Sq F value Pr(>F)
habitat 1 17.0829 17.0829 50.0917 3.083e-09 ***
fish 1 0.9131 0.9131 2.6774 0.107600
habitat:fish 1 13.0100 13.0100 38.1488 8.877e-08 ***
fish:lake 1 1.0256 1.0256 3.0072 0.088599 .
habitat:fish:lake 1 2.7641 2.7641 8.1051 0.006229 **
Residuals 54 18.4158 0.3410
---lysis of Variance Table
Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1
With just interactions, not nested:
> test <- anova(lm(ltotinv ~ habitat + fish + lake:fish + habitat:fish + fish:h\
abitat:lake))
> test
Analysis of Variance Table
Response: ltotinv
Df Sum Sq Mean Sq F value Pr(>F)
habitat 1 17.0829 17.0829 50.0917 3.083e-09 ***
fish 1 0.9131 0.9131 2.6774 0.107600
habitat:fish 1 13.0100 13.0100 38.1488 8.877e-08 ***
fish:lake 1 1.0256 1.0256 3.0072 0.088599 .
habitat:fish:lake 1 2.7641 2.7641 8.1051 0.006229 **
Residuals 54 18.4158 0.3410
---
Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1
>
We get the same answer. The reason I figured this out is because I did this analysis first in SAS, and then tried to reproduce it in R. It must be something to do with my syntax, I imagine, but I can't see what it is.
Any help anyone has would be greatly appreciated.
Sincerely,
Mike Rennie
M.Sc. Candidate, University of Toronto at Mississauga
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