Observation detection tables
Creates a series of tables for dual observer data that shows the number missed and detected for each observer within defined distance classes.
det.tables(model, nc = NULL, breaks = NULL)
model |
fitted model from |
nc |
number of equal-width bins for histogram |
breaks |
user define breakpoints |
list object of class "det.tables"
Observer1 |
table for observer 1 |
Observer2 |
table for observer 2 |
Duplicates |
histogram counts for duplicates |
Pooled |
histogram counts for all observations by either observer |
Obs1_2 |
table for observer 1 within subset seen by observer 2 |
Obs2_1 |
table for observer 2 within subset seen by observer 1 |
Jeff Laake
data(book.tee.data) region<<-book.tee.data$book.tee.region egdata<<-book.tee.data$book.tee.dataframe samples<<-book.tee.data$book.tee.samples obs<<-book.tee.data$book.tee.obs xx=ddf(mrmodel=~glm(formula=~distance*observer), dsmodel = ~mcds(key = "hn", formula = ~sex), data = egdata, method = "io", meta.data = list(width = 4)) tabs=det.tables(xx,breaks=c(0,.5,1,2,3,4)) par(mfrow=c(2,2)) plot(tabs,new=FALSE,which=c(1,2,5,6))
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