det.tables: Observation detection tables

In mrds: Mark-Recapture Distance Sampling

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

Author(s)

Jeff Laake

Examples

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))

mrds documentation built on May 29, 2024, 3:56 a.m.