[Rd] mixed effects model and r-squared

From: Indermaur Lukas <Lukas.Indermaur_at_eawag.ch>
Date: Fri 01 Dec 2006 - 14:28:45 GMT


Heya

I am fitting linear mixed effects model in R and want to assess the model fit (with Animal number as random factor; repeated measures for Animals):  

ts.model <- lme(LOG_FOC_MW ~ R_DN_SUM + ANIMAL + SEX+ YY, data = t.data, random = ~ 1 | ANIMAL, correlation=corCAR1(0.2, form = ~1 | ANIMAL ), method='ML', na.action=na.omit)).  

Is there a possability to easly compute an R-square from the output of the model summary?  

I would appreciate any hint.
Best regards  

Lukas        

°°°
Lukas Indermaur, PhD student
eawag / Swiss Federal Institute of Aquatic Science and Technology ECO - Department of Aquatic Ecology
Überlandstrasse 133
CH-8600 Dübendorf
Switzerland  

Phone: +41 (0) 71 220 38 25
Fax : +41 (0) 44 823 53 15
Email: lukas.indermaur@eawag.ch
www.lukasindermaur.ch



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