mrds (version 2.2.4)

det.tables: Observation detection tables

Description

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

Examples

# NOT RUN {
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))
# }