MLEmid.MLEbin.hist: One figure with eight histograms for each of MLEmid and...

In andrew-edwards/sizeSpectra: Fitting Size Spectra to Ecological Data Using Maximum Likelihood

One figure with eight histograms for each of MLEmid and MLEbin methods and four binning types

Description

The default plot here reproduces Figure 4 of MEPS paper, showing the estimated exponent $b$ for 10,000 simulated data sets, binned using four methods and fitted using the MLEmid and MLEbin methods.

Usage

MLEmid.MLEbin.hist(
  results.list,
  vertCol = "red",
  vertThick = 1,
  xrange = c(-2.4, -1.1),
  xbigticks.by = 0.4,
  xsmallticks.by = 0.1,
  ylimA = c(0, 7000),
  yBigTickLab.by = 3000,
  yBigTickNoLab.by = 1000,
  ySmallTick.by = 500,
  binwidth = NA,
  omi = c(0.12, 0.05, 0.2, 0),
  mfrow = c(4, 2),
  mai = c(0.5, 0.5, 0, 0.3),
  xaxs = "i",
  yaxs = "i",
  mgp = c(2, 0.5, 0),
  cex = 0.8,
  cexAxis = 0.9,
  inset = c(0, -0.04),
  legLabMid = c("(a)", "(c)", "(e)", "(g)"),
  legLabBin = c("(b)", "(d)", "(f)", "(h)")
)

Arguments

results.list	output list from MLEbin.simulate(); see ?MLEbin.simulate() for details
vertCol	colour for vertical line at true value of b
vertThick	thickness of vertical line at true value of b
xrange	range of x values (should change to xlimA for consistency)
xbigticks.by	increment between big tick marks on x-axis (all labelled)
xsmallticks.by	increment between small tick marks on x-axis
ylimA	range of y values
yBigTickLab.by	increment between labelled big tick marks on y-axis
yBigTickNoLab.by	increment between all big tick marks on y-axis
ySmallTick.by	increment between small tick marks on y-axis
binwidth	bin width for histograms; if NA then gets calculated such that b.known is a midpoint of a bin
omi, mfrow, mai, xaxs, yaxs, mgp, cex, inset	standard options for par(), defaults are for Figure 4
cexAxis	font size for axis labels
legLabMid	character vector of length 4 for labelling each panel in the MLEmid column
legLabBin	character vector of length 4 for labelling each panel in the MLEBin column

Value

figure with eight histograms, one for each combination of binning type and fitting method.

Author(s)

Andrew Edwards

andrew-edwards/sizeSpectra documentation built on June 28, 2023, 7:09 p.m.