numCalls | R Documentation |
Return the number and proportion of calls in BANTER detector models.
numCalls(x, by = c("species", "event")) propCalls(x, by = c("species", "event"))
x |
a |
by |
return summary by |
Eric Archer eric.archer@noaa.gov
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 calls by species and event numCalls(bant.mdl, "species") numCalls(bant.mdl, "event") # proportion of calls by species and event propCalls(bant.mdl, "species") propCalls(bant.mdl, "event")
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