plot.det.tables: Observation detection tables

In DistanceDevelopment/mrds: Mark-Recapture Distance Sampling

Observation detection tables

Description

Plot the tables created by det.tables. Produces a series of tables for dual observer data that shows the number missed and detected for each observer within defined distance classes.

Usage

## S3 method for class 'det.tables'
plot(
  x,
  which = 1:6,
  angle = NULL,
  density = NULL,
  col1 = "white",
  col2 = "lightgrey",
  new = TRUE,
  ...
)

Arguments

x	object returned by det.tables
which	items in x to plot (vector with values in 1:6)
angle	shading angle for hatching
density	shading density for hatching
col1	plotting colour for total histogram bars.
col2	plotting colour for subset histogram bars.
new	if TRUE new plotting window for each plot
...	other graphical parameters, passed to plotting functions

Details

Plots that are produced are as follows (controlled by the which argument):

1

Detected by either observer/Detected by observer 1

2

Detected by either observer/Detected by observer 2

3

Seen by both observers

4

Seen by either observer

5

Detected by observer 2/Detected by observer 1 | 2

6

Detected by observer 1/Detected by observer 2 | 1

Value

Just plots.

Author(s)

Jeff Laake, David L Miller

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,.5,1,2,3,4))
par(mfrow=c(2,3))
plot(tabs,which=1:6,new=FALSE)

DistanceDevelopment/mrds documentation built on Feb. 15, 2024, 9:25 a.m.