spatial correlation with nlme (Javier Moreira)
---------------------------------------------------------------------- Message: 1 Date: Tue, 1 Aug 2017 22:43:30 -0300 From: Javier Moreira <javiermoreira at gmail.com> To: r-sig-mixed-models at r-project.org Subject: [R-sig-ME] spatial correlation with nlme Message-ID: <CAEyHP-0=TXAbK-fpFH=otmJ0Tzkk_yJ_86K6-8L5MbxtbLQovw at mail.gmail.com> Content-Type: text/plain; charset="UTF-8" hi, im trying to generate different models to account for spatial correlation. Im using nlme package, and mixed models, in order to compare two models, one that doesnt include the spatial correlation and one that does.
As already indicated by Thierry...try R-INLA. Alain
Its a nested design, one that has 4 leves,
BLOQUE/ AMBIENTE/ TRATAMIENTO/ SUBMUESTREO
Its a harvest set data, with multiple point of data/ treatment, so the last
level account for another term in the error for "sub-muestreo".
My first problem its, when i try to add de correlation term to the model, i
cant, when the random effects are taken to the level /SUBMUESTREO, and i
have to leave it to the level of TRATAMIENTO.
When i do that, i have 2 differences between models, the term accounting
for sub-muestreo, and the spatial correlation.
#MODELO 2##
attach(base_modelo3)
str(base_modelo3)
data1=base_modelo3
str(data1)
data1=groupedData(REND.~1|BLOQUE/AMBIENTE/TRATAMIENTO/SUBMUESTREO,
data=data1, units=list(y="(ton/ha)"))
data1$TRATAMIENTO =factor(data1$TRATAMIENTO)
data1$BLOQUE =factor(data1$BLOQUE)
data1$AMBIENTE =factor(data1$AMBIENTE)
modelo2_MM<-lme(REND.~1+TRATAMIENTO*AMBIENTE,
random=~1|BLOQUE/AMBIENTE/TRATAMIENTO/SUBMUESTREO,
weights=varComb(varIdent(form=~1|TRATAMIENTO)),
data=data1,
control=lmeControl(niterEM=150,msMaxIter=200))
summary(modelo2_MM)
anova(modelo2_MM)
##MODELO 4##
modelo4_MM<-lme(REND.~1+TRATAMIENTO*AMBIENTE,
random=~1|BLOQUE/AMBIENTE/TRATAMIENTO,
weights=varComb(varIdent(form=~1|TRATAMIENTO)),
correlation=corExp(form=~X+Y,nugget=T),
data=data1,
control=lmeControl(niterEM=150,msMaxIter=200))
summary(modelo4_MM)
anova(modelo4_MM)
Dr. Alain F. Zuur Author of: 1. Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (2017). 2. Beginner's Guide to Zero-Inflated Models with R (2016). 3. Beginner's Guide to Data Exploration and Visualisation with R (2015). 4. Beginner's Guide to GAMM with R (2014). 5. Beginner's Guide to GLM and GLMM with R (2013). 6. Beginner's Guide to GAM with R (2012). 7. Zero Inflated Models and GLMM with R (2012). 8. A Beginner's Guide to R (2009). 9. Mixed effects models and extensions in ecology with R (2009). 10. Analysing Ecological Data (2007). Highland Statistics Ltd. 9 St Clair Wynd UK - AB41 6DZ Newburgh Tel: 0044 1358 788177 Email: highstat at highstat.com URL: www.highstat.com