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
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Lukas Indermaur, PhD student
eawag / Swiss Federal Institute of Aquatic Science and Technology
ECO - Department of Aquatic Ecology
?berlandstrasse 133
CH-8600 D?bendorf
Switzerland
Phone: +41 (0) 71 220 38 25
Fax : +41 (0) 44 823 53 15
Email: lukas.indermaur at eawag.ch
www.lukasindermaur.ch