mrds: plot_cond – R documentation

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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(s)

Jeff Laake, Jon Bishop, David Borchers

mrds

Mark-Recapture Distance Sampling

v2.2.4

GPL (>= 2)

Authors

Jeff Laake <jeff.laake@noaa.gov>, David Borchers <dlb@st-and.ac.uk>, Len Thomas <len.thomas@st-and.ac.uk>, David Miller <dave@ninepointeightone.net> and Jon Bishop

Initial release