Return the number of events in a BANTER model by species.
numEvents(x, model = "event")
name of model to extract. Default is
a data.frame giving the number of events available for each species.
Eric Archer firstname.lastname@example.org
Rankin, S. , Archer, F. , Keating, J. L., Oswald, J. N., Oswald, M. , Curtis, A. and Barlow, J. (2017), Acoustic classification of dolphins in the California Current using whistles, echolocation clicks, and burst pulses. Marine Mammal Science 33:520-540. doi:10.1111/mms.12381
data(train.data) # initialize BANTER model with event data bant.mdl <- initBanterModel(train.data$events) # add all detector models bant.mdl <- addBanterDetector( bant.mdl, train.data$detectors, ntree = 50, sampsize = 1, num.cores = 1 ) # run BANTER event model bant.mdl <- runBanterModel(bant.mdl, ntree = 1000, sampsize = 1) # number of events in event model numEvents(bant.mdl) # number of events in burst pulse (bp) detector model numEvents(bant.mdl, "bp")
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