cswi.aSE {DendroSync} | R Documentation |
Within-group synchrony for homoscedastic compound symmetry model
Description
The function calculates the within-group synchrony (a^) and standard error (SE) for homoscedastic compound symmetry models (mCS).
Usage
cswi.aSE(model)
Arguments
model |
a class " |
Details
The function calculates within-group synchrony for homoscedastic compound symmetry model (mCS).
Value
The function returns a matrix
containing within-group synchrony and SE for each combinations 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 within-group homoscedastic synchrony and SE
# for compound symmetry 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 compound symmetry model within-group synchrony and SE
# for each varGroup stratum.
cswi.aSE(ModHm$mCS)#compound symmetry