OVA by means of this command:
> aov1 = aov(response ~ stimulus*condition +
> Error(subject/(stimulus*condition)),
>data=scrd)
All the best
From: Dieter Menne
To: r-help@r-project.org
Sent: Sat, January 8, 2011 3:50:23 PM
Subject: R
tand from my data if they are
normally distributed?
Please enlighten me
Best regards
From: "bill.venab...@csiro.au"
To: frodo.j...@yahoo.com; r-help@r-project.org
Sent: Sat, January 8, 2011 4:01:41 AM
Subject: RE: [R] anova vs aov commands for anova
Bill.Venables wrote:
>
> ...
> If you want to fit a multistratum model, such as a repeated measures
> model, you need to use aov.
>
>
...Or lme in nlme / lmer in lme4.
Dieter
--
View this message in context:
http://r.789695.n4.nabble.com/anova-vs-aov-commands-for-anova-with-repeated-meas
ll need to dig out the
appropriate column yourself.
From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] On Behalf Of
Frodo Jedi [frodo.j...@yahoo.com]
Sent: 08 January 2011 01:51
To: r-help@r-project.org
Subject: [R] anova vs aov commands for
Dear all,
I need to understand a thing in the beheaviour of the two functions aov and
anova in the following case
involving an analysis of ANOVA with repeated measures:
If I use the folowing command I don´t get any problem:
>aov1 = aov(response ~ stimulus*condition +
>Error(subject/(stimulus*co
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