[R] Gaussian model GLM summary(model)$dispersion
D_Tomas
tomasmeca at hotmail.com
Thu Jul 26 12:30:11 CEST 2012
Hi,
I have some data that is log-normally distributed and I am using a glm, type
Gaussian to fit the logs.
I would like to know the expected values within the context of the lognormal
model.
I am unsure whether I have to use:
Expected_values= exp(fitted(model)+sqrt(summary(model)$dispersion)/2)
OR
Expected_values= exp(fitted(model)+summary(model)$dispersion)/2)
Your help is much appreciated.
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