plot_uncond: Plot unconditional detection function from distance sampling...
In DistanceDevelopment/mrds: Mark-Recapture Distance Sampling

plot_uncond

R Documentation

Plot unconditional detection function from distance sampling model

Description

Plots unconditional detection function for observer=obs observations overlays histogram, average detection function and values for individual observations data. Internal function called by plot methods.

Usage

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

Arguments

`model`	fitted model from `ddf`
`obs`	value of observer for plot
`xmat`	processed data
`gxvalues`	detection function values for each observation
`nc`	number of equal-width bins for histogram
`finebr`	fine break values over which line is averaged
`breaks`	user define breakpoints
`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; defaults to (0,1)
`return.lines`	if TRUE, returns values for line
`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)