[R] type 3 aov for repeated measures

[Rui Barradas]

Hello,

Try function Anova() in package car.

#install.packages("car")
library(car)

?Anova  # see argument 'type'


Hope this helps,

Rui Barradas

Em 20-02-2013 09:08, Anders Sand escreveu:
> Hi,
>
> I know this question has been asked before but I have not seen an answer
> pertaining to repeated measures anovas.
>
> I got a simple data set with two factors: block (3 levels) and prime (2
> levels). The dataset (expData) are stuctured so one column (block) states
> which block a trial is in and one column (prime) states which prime was
> used in the trial, another column (RT) states reation time for that trial
> and finally a column (subject) states subject number (there are 10 trials
> in each condition and 30 subjects so the dataset consists of 1800 obs of 4
> variables).
>
> I tried doing this repeated-measures ANOVA in SPSS which results in a
> F-value of 25 for factor block and F-value 43 for factor prime.
>
> I then try to reproduce this result in R. First I factor block and prime so
> that R knows these are factors and not continous variables.
>
> My anova command in R is aov(expData$RT ~ block * prime +
> Error(expData$subject  /(block * prime))
>
> This gives me a very different result, F-values for block is 2.9 and
> F-value for prime is 5.7.
>
> I think this difference is caused by the "type" of Sum of squares test used
> in SPSS and R. So, I want to use type 3 test in R.
>
> Is this correct and how do I apply this change in type? The aov function
> does not take any type arguments.
>
> Much appreciated.
>
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>
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