plot.coleman: Plot Model Fits for a 'coleman' Object

In sars: Fit and Compare Species-Area Relationship Models Using Multimodel Inference

Plot Model Fits for a 'coleman' Object

Description

S3 method for class 'coleman'. plot.coleman creates a plot for objects of class coleman, using the R base plotting framework.

Usage

## S3 method for class 'coleman'
plot(
  x,
  xlab = "Relative area (log transformed)",
  ylab = "Species richness",
  pch = 16,
  cex = 1.2,
  pcol = "black",
  cex.lab = 1.3,
  cex.axis = 1,
  lwd = 2,
  lcol1 = "black",
  lcol2 = "darkgrey",
  ModTitle = NULL,
  TiAdj = 0,
  TiLine = 0.5,
  cex.main = 1.5,
  ...
)

Arguments

x	An object of class 'coleman'.
xlab	Title for the x-axis.
ylab	Title for the y-axis.
pch	Plotting character (for points).
cex	A numerical vector giving the amount by which plotting symbols (points) should be scaled relative to the default.
pcol	Colour of the points.
cex.lab	The amount by which the the axis titles should be scaled relative to the default.
cex.axis	The amount by which the the axis labels should be scaled relative to the default.
lwd	Line width.
lcol1	Line colour of the fitted model curve.
lcol2	Line colour of the model standard deviation curves.
ModTitle	Plot title (default is null, which equates to no main title).
TiAdj	Which way the plot title (if included) is justified.
TiLine	Places the plot title (if included) this many lines outwards from the plot edge.
cex.main	The amount by which the the plot title (if included) should be scaled relative to the default.
...	Further graphical parameters (see par, plot.default,title, lines) may be supplied as arguments.

Details

The resultant plot contains the observed richness values with the model fit and confidence intervals. Following Wang et al. (2010), the model is rejected if more than a third of the observed data points fall beyond one standard deviation from the expected curve.

Examples

data(cole_sim)
fit <- coleman(cole_sim[[1]], cole_sim[[2]])
plot(fit, ModTitle = "Hetfield")

sars documentation built on April 3, 2025, 7:07 p.m.