dear members,
Thanks Peter, Bert, Rolf and Terry. Regrets to reply
this late.
iF you say that balancedness is not required for lm, I think there is some
inconsistency. The coded vectors can still be correlated and unless lm handles
it with some trick, aov and lm are essentially the same. I even came to know
that aov calls lm internally! Moroevr, can you please give me a reference that
explains how exactly lm handles semipartial correlations (if at all it does). I
am just curious.
Moroever, If I drop some elements to make my data balanced, will the results
(from aov and lm) be reliable, i.e makes the correct inference about my sample?
THanking You,
AkshaY Kulkarni
________________________________
From: peter dalgaard <[email protected]>
Sent: Tuesday, January 18, 2022 6:13 PM
To: akshay kulkarni <[email protected]>
Cc: R help Mailing list <[email protected]>
Subject: Re: [R] unbalanced design in multifactor anova....
In brief, aov() requires balancedness (or at least you _really_ need to know
what you are doing otherwise), lm() does not, but you need to be careful that
results, like in any multiple regression, depends on test order. For models
with random effects, things get tricky and you likely need to use the "lme4"
package.
- Peter D.
> On 18 Jan 2022, at 08:14 , akshay kulkarni <[email protected]> wrote:
>
> dear members,
> I have a question on anova as implemented in R.
>
> If there is an unbalanced design in multifactor anova, will aov or lm work
> properly? I was reading a book on excel where the author points that in an
> unbalanced design, the factors, as coded vectors, are correlated. He says
> that variance will be allocated properly only when the coded vectors are
> uncorrelated. But he also justifies that the function TREND() in Excel
> handles this automatically using semipartial correlations.
>
> What about aov or lm in R, which are used to implement anova? Should we do
> some thing extra for them to work properly in an unbalanced design? Or will
> the coding system used by R to represent the factors or levels internally
> handles the correlation?
>
> THanking you,
> Yours sincerely,
> AKSHAY M KULKARNI
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> [email protected] mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Office: A 4.23
Email: [email protected] Priv: [email protected]
[[alternative HTML version deleted]]
______________________________________________
[email protected] mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
