DendroSync (version 0.1.4)

gen.aSE: Within-group synchrony for homoscedastic models

Description

The function calculates for each varGroup stratum the within-group synchrony (a^) and standard error (SE). However, it only works for homoscedastic broad evaluation, narrow evaluation and unstructured models (mBE, mNE, mUN).

Usage

gen.aSE(model)

Arguments

model

a class "lme" model produced by dendro.varcov with homoscedastic equals TRUE.

Value

The function returns a matrix containing the synchrony and SE for each level of varGroup. This function is used internally in sync.

Details

The function calculates the within-group synchrony values for each varGroup stratum based on the metodology described in Shestakova et al. (2014) and Shestakova et al. (2016). Note that this function is designed to work only in 3 homoscedastic models (mBE, mNE, mUN).

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

# NOT RUN {
## Calculate within-group homoscedastic synchrony and SE for 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 within-group synchrony and SE for each varGroup stratum.
 gen.aSE(ModHm$mBE)#Broad evaluation
 gen.aSE(ModHm$mUN)#Unstructured
 
# }