bet.aSE {DendroSync}

Between-group synchrony for a homoscedastic unstructured model

Description

The function calculates the between-group synchrony (a^) and standard error (SE) for a homoscedastic unstructured model or full model (mUN).

Usage

bet.aSE(model)

Arguments

model

a class "lme" unstructured model (mUN) produced by dendro.varcov with homoscedastic equals TRUE.

Details

The function calculates between-group synchrony for a homoscedastic unstructured model (mUN).

Value

The function returns a matrix containing between-group synchrony and SE for each combination of varGroup levels. This function is used internally in sync.

Author(s)

Josu G. Alday, Tatiana A. Shestakova, Victor Resco de Dios, Jordi Voltas

References

Shestakova, T.A., Aguilera, M., Ferrio, J.P., Gutierrez, E. & Voltas, J. (2014). Unravelling spatiotemporal tree-ring signals in Mediterranean oaks: a variance-covariance modelling approach of carbon and oxygen isotope ratios. Tree Physiology 34: 819-838.

Shestakova, T.A., Gutierrez, E., Kirdyanov, A.V., Camarero, J.J., Genova, M., Knorre, A.A., Linares, J.C., Resco de Dios, V., Sanchez-Salguero, R. & Voltas, J. (2016). Forests synchronize their growth in contrasting Eurasian regions in response to climate warming. Proceedings of the National Academy of Sciences of the United States of America 113: 662-667.

See Also

sync for a clear description of synchrony evaluation.

Examples

## Calculate between-group synchrony and SE
 # for an unstructured homocedastic model of conifersIP data:
 data(conifersIP)
 
 #Fit the homoscedastic set of varcov models (mBE, mNE, mCS, mUN)
 # using taxonomic grouping criteria (ie. Species)
 ModHm <- dendro.varcov(TRW ~ Code, varTime = "Year", varGroup = "Species", 
                        data = conifersIP, homoscedastic = TRUE)
 summary(ModHm)
   
 #Obtain the unstructured model between-group synchrony and SE
 # for each varGroup stratum.
 bet.aSE(ModHm$mUN)#Unstructure