[R] anova question for repeated measurements

[Sven Garbade]

Dear R-List,

is it possible to calculate a three-factor (two factors with 9 levels
and one with three) analysis of variance with repeated (or replicates,
sorry, don´t know the correct word) measurements in R? My dataframe
looks like

fx  fy  fz  iv
1    1   1   56
1    1   2   45
[...]
9    9   3   50
this six times

where fx and fy (9 levels), fz (3 levels) are factors, iv is the
independent variable. However, there are only 123 different factor
combinations for the 3 factors. I´ve got six measurements in the
dataframe for every factor combination. I´ve read that it´s nessecary to
setup the dataframe that all columns contain the value  of iv for a
combination of the three factors at different levels, and each row
reflects the observed responses.
So my dataframe should have 123 columns and 6 rows. It´s very easy to
make a dataframe with 123 colums and 6 rows from the existing data, but
how can I conserve the factor information, so every column specifies a
combination of the three factors and the rows reflect the repeated
observations? Maybe the dataframe should look like

	   fx1-fy1-fz1   fx1-fy1-fz2  .... fx9-fy9-fz3
1. observe	56	      45		50
...

And how do I calculate the anova? Or is there another possibility?

Many thanks,
	Sven
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