[R] Estimated Effects Not Balanced
bgunter.4567 at gmail.com
Tue Aug 23 00:32:55 CEST 2016
Thanks, Rich. I didn't notice that!
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Mon, Aug 22, 2016 at 1:43 PM, Richard M. Heiberger <rmh at temple.edu> wrote:
> The problem is that you have 12 observations and 1+2+10=13 degrees of freedom.
> There should be 1 + 2 + 8 = 11 degrees of freedom.
> Probably one of your variables is masked by something else in you workspace.
> Protect yourself by using a data.frame
>> tmp <- data.frame(A=factor(c(1,1,1,1,1,1,2,2,2,2,2,2)),
> + B=factor(c(1,1,2,2,3,3,1,1,2,2,3,3)),
> + y=rnorm(12))
>> mod <- aov(y ~ A+B, data=tmp)
> Df Sum Sq Mean Sq F value Pr(>F)
> A 1 1.553 1.553 1.334 0.281
> B 2 3.158 1.579 1.357 0.311
> Residuals 8 9.311 1.164
> On Mon, Aug 22, 2016 at 11:15 AM, Justin Thong <justinthong93 at gmail.com> wrote:
>> Something does not make sense in R. It has to do with the question of
>> balance and unbalance.
>> I was under the impression that the design is balanced ie order does not
>> effect the sums of squares. However, when I compute the anova R reports
>> that the Estimated Effects are Unbalanced. I thought that when all
>> combinations of levels of A and B have equal replications then the design
>> is called balanced. But, R tends to think that when not all levels of A and
>> levels of B have equal replication, then the "Estimated Effects are
>> unbalanced".... Is this the same as the design being unbalanced? Because
>> for the example below, where the error occured, the order does not matter
>> (which make me think that the design is balanced).
>> * aov(formula = y ~ A + B)*
>> * A B Residuals*
>> *Sum of Squares 0.872572 0.025604 16.805706*
>> *Deg. of Freedom 1 2 10*
>> *Residual standard error: 1.296368*
>> *Estimated effects may be unbalanced*
>> Yours sincerely,
>> *I check my email at 9AM and 4PM everyday*
>> *If you have an EMERGENCY, contact me at +447938674419(UK) or
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> and provide commented, minimal, self-contained, reproducible code.
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