Plot unconditional detection function from distance sampling model
Source:R/plot_uncond.R
plot_uncond.RdPlots 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)