Observation detection tables
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.
## S3 method for class 'det.tables' plot( x, which = 1:6, angle = NULL, density = NULL, col1 = "white", col2 = "lightgrey", new = TRUE, ... )
x |
object returned by |
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 |
... |
other graphical parameters, passed to plotting functions |
Plots that are produced are as follows (controlled by the which
argument):
Detected by either observer/Detected by observer 1
Detected by either observer/Detected by observer 2
Seen by both observers
Seen by either observer
Detected by observer 2/Detected by observer 1 | 2
Detected by observer 1/Detected by observer 2 | 1
Just plots.
Jeff Laake, David L Miller
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)
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