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.

Usage

det.tables(model, nc = NULL, breaks = NULL)

Arguments

model

fitted model from ddf

nc

number of equal-width bins for histogram

breaks

user define breakpoints

Value

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

Author

Jeff Laake

Examples

# \donttest{
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, 0.5, 1, 2, 3, 4))
par(mfrow=c(2, 2))
plot(tabs, new=FALSE, which=c(1, 2, 5, 6))

# }