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

View source: R/coleman_plot.R

plot.colemanR Documentation

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")

txm676/mmSAR2 documentation built on Nov. 16, 2023, 2:33 p.m.