Hello Peter,
Thank you very much for the fresh approach!
I will go with it to the researcher.
Thanks again,
Tal
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Thank you for the detailed answer Joris,
First - I would like to nominate your final remark:
> Sorry to break it to you, but this is a classic case of "analysis died due
> to a lack of usable data".
(In response to a question on why Anova {car} broke with the Error
SSP matrix is apparently of
On May 6, 2010, at 1:42 PM, Tal Galili wrote:
> Hi Joris,
> Thank you for taking the time to answer.
>
> This data is of a test done for 39 subjects (from 2 groups) over 12 weeks.
> And the questions I would like to answer are:
> 1) Did the test results changed over time?
> 2) Did the group effe
Hi Tal,
a few remarks:
- The way you did it, week is essentially a nominal variable. The analysis
you use completely ignores the sequence of the weeks. You have to take that
one into account as well.
- The method you use tells me you're attempting some kind of
repeated-measures anova in R. Actual
Hi Joris,
Thank you for taking the time to answer.
This data is of a test done for 39 subjects (from 2 groups) over 12 weeks.
And the questions I would like to answer are:
1) Did the test results changed over time?
2) Did the group effected the test results?
3) Did the effect of time differ for ea
Hi Tal,
The problem is not the analysis, but the data. You have 2 weeks that only
have a value 4, and 31 out of 39 cases that only have a value 4. Your
residual matrix is thus malformed, and has a lower rank than the amount of
weeks minus 1. This makes it impossible to do the calculations in the A
Hello all,
I am getting the following error:
Error in linear.hypothesis.mlm(mod, hyp.matrix.1, SSPE = SSPE, V = V, :
The error SSP matrix is apparently of deficient rank = 7 < 11
After running:
mod.ok <- lm(as.matrix(dat[,-1]) ~ DC, data=dat)
(av.ok <- Anova(mod.ok, idata=idata, idesign=~wee
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