[R-sig-ME] Help with a multiresponse model
c@c@voeten @end|ng |rom hum@|e|denun|v@n|
Wed Mar 20 10:55:19 CET 2019
Since you are using GAMs anyway, have you considered using gam() with family='mvn(2)'?
Van: R-sig-mixed-models <r-sig-mixed-models-bounces using r-project.org> Namens Matteo Redana
Verzonden: woensdag 20 maart 2019 07:42
Aan: r-sig-mixed-models using r-project.org
Onderwerp: [R-sig-ME] Help with a multiresponse model
I�m new in the mailing list. I�m coning to you for a problem on how approach my data:
I have a time series of Water temperature from 06-06-2017 to 28-07-2017, 1 value each hour. In the same period the 10\06, 02/07 and 25/07 were sampled larvae from the river and teste for thermotolerance. So each sampling day I have a different number of larvae with different thermotolerances. Working with GAM there are evidence of a trend in thermotolrence, given the high variability in each sample day.
What I want to do is to create a model that look at the impact of water temperature (also lagged values) on the thermotolerance.
Until now I�ve ever worked with mgcv and dlnm package in hydraulics, but it�s the first time with this kind of data.
I don�t know how to build a model, given that I have water temp. value in a different scale (hourly) and a multiple response in my Y (CT-thermotolerance).
The next step will be to preform a mixed model to test differences in natural site and artificial (this experiment was done in different lake).
Any suggestion is welcome!
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