dropObservations: Drop Observations from a STmodel
In SpatioTemporal: Spatio-Temporal Model Estimation

Description Usage Arguments Value Author(s) See Also Examples

Drops observations from STmodel, removing marked observations along with the corresponding locations and recomputes a number of relevant elements.

1	dropObservations(STmodel, Ind.cv)

`STmodel`	Model object from which to drop observations.
`Ind.cv`	A logical vector with one element per observation in `STmodel$obs`. Observations marked with the `TRUE` will be dropped from the data structure. Use `createCV` to create the logical vector.

Returns the STmodel without the observations marked by Ind.cv. Only observed locations are retained.

Johan Lindstrom

Other STmodel functions: createCV, createDataMatrix, createSTmodel, estimateBetaFields, loglikeSTdim, loglikeST, predictNaive, processLUR, processLocation, updateCovf, updateTrend.STdata

Other cross-validation functions: computeLTA, createCV, estimateCV.STmodel, predictNaive

##load data
data(mesa.model)

##Mark 30% of observations
I <- runif(dim(mesa.model$obs)[1])<.3
##drop these observations
mesa.model.new <- dropObservations(mesa.model, I)

##This reduces the remaining number of observations
print(mesa.model)
print(mesa.model.new)


##create cross validation structure
Icv <- createCV(mesa.model, groups=10)

##drop observations from the second CV group
mesa.model.new <- dropObservations(mesa.model, Icv==2)

##This reduces the remaining number of observations (and locations)
print(mesa.model)
print(mesa.model.new)