[R] betareg question - keeping the mean fixed?
r_b_hamilton at yahoo.co.uk
Thu Sep 1 13:28:02 CEST 2011
I have a dataset with proportions that vary around a fixed mean, is it
possible to use betareg to look at variance in the dispersion parameter
while keeping the mean fixed?
I am very new to R but have tried the following:
f<-betareg(scaled~-1 | expt_label + grouped_hpi, data=data1, link.phi="log",
I understood that y~-1 could be used to give a fixed mean of 0.5 however I
get the following error:
Error in linkinv(x %*% beta + offset) :
Argument eta must be a nonempty numeric vector
I think I can work round this by using:
f2<-betareg(scaled ~ expt_label + grouped_hpi | expt_label + grouped_hpi,
This appears to work (ie doesn't return errors), but given i know the mean
to be fixed I would like to do this in the model (especially as my data set
is small) - is this possible?
Thanks in advance.
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