m2b (version 1.1.0)

resB: Representation of the predicted vs observed behaviour of an xytb object

Description

Representation of the predicted vs observed behaviour of an xytb object

Usage

resB(xytb, type = "time", nob = "-1")

Value

a ggplot

Arguments

xytb

an xytb object with predicted behaviour.

type

• time: plot results in time.

• space: plot results in space.

• density: plot results in space, adding density surface by behaviour.

nob

character. Define the unobserved value of the behaviour (and where prediction are done)

Author

Laurent Dubroca

See Also

See randomForest

Examples

if (FALSE) {
#track_CAGA_005 is dataset
#generate a complete xytb object with derived (over moving windows of 3, 5
#and 9 points, with quantile at 0, 50 and 100%) and shifted information on 10
#and 100 points
xytb<-xytb(track_CAGA_005,"a track",c(3,5,9),c(0,.5,1),c(10,100))
#compute a random forest model to predict behaviour (b, where -1 is
#unobserved behaviour) using the derived
#parameters ("actual")
xytb<-modelRF(xytb,"actual",nob="-1",colin=TRUE,varkeep=c("v","thetarel"),
zerovar=TRUE,rfcv=FALSE,step=.9)
#behaviour results:
resB(xytb,type="time",nob="-1")
resB(xytb,type="space",nob="-1")
resB(xytb,type="density",nob="-1")
}