plot_cond: Plot conditional detection function from distance sampling model

Description

Plot proportion of observations detected within distance intervals (for conditional detection functions) to compare visually the fitted model and data. Internal function called by plot methods.

Usage

plot_cond(
  obs,
  xmat,
  gxvalues,
  model,
  nc,
  breaks,
  finebr,
  showpoints,
  showlines,
  maintitle,
  ylim,
  angle = -45,
  density = 20,
  col = "black",
  jitter = NULL,
  xlab = "Distance",
  ylab = "Detection probability",
  subtitle = TRUE,
  ...
)

Arguments

obs: observer code
xmat: processed data
gxvalues: detection function values for each observation
model: fitted model from ddf
nc: number of equal-width bins for histogram
breaks: user define breakpoints
finebr: fine break values over which line is averaged
showpoints: logical variable; if TRUE plots predicted value for each observation
showlines: logical variable; if TRUE plots average predicted value line
maintitle: main title line for each plot
ylim: range of y axis (default c(0,1))
angle: shading angle for hatching
density: shading density for hatching
col: plotting colour
jitter: scaling option for plotting points. Jitter is applied to points by multiplying the fitted value by a random draw from a normal distribution with mean 1 and sd jitter.
xlab: label for x-axis
ylab: label for y-axis
subtitle: if TRUE, shows plot type as sub-title
...: other graphical parameters, passed to the plotting functions (plot, hist, lines, points, etc)

Author

Jeff Laake, Jon Bishop, David Borchers