logTicks: Add axes and tick marks to a log-log plot to represent...

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

Add axes and tick marks to a log-log plot to represent unlogged values

Description

Useful because you can then interpret the unlogged values, e.g. Figures 2(h) and 6(b) of MEE paper and Figure 7 of MEPS paper.

Usage

logTicks(
  xLim,
  yLim = NULL,
  tclSmall = -0.2,
  xLabelSmall = NULL,
  yLabelSmall = NULL,
  xLabelBig = NULL,
  mgpVal = c(1.6, 0.5, 0)
)

Arguments

xLim	the x limits for the plot (unlogged scale); if NULL then do not add anything to x-axis
yLim	the y limits for the plot (unlogged scale); if NULL then do not add anything to y-axis
tclSmall	size of small tick marks
xLabelSmall	which small tick marks on x-axis to label
yLabelSmall	which small tick marks on y-axis to label
xLabelBig	which big tick marks on the x-axis to label (when automated they can overlap, so may need to specify)
mgpVal	mgp values for axes. See ?par

Value

Adds axes and big and small tick marks to the plot. Returns NULL

Author(s)

Andrew Edwards

Examples

## Not run: 
# Adapt the following (could make an explicit example):
  plot(..., log="xy", xlab=..., ylab=..., xlim=..., ylim=..., axes=FALSE)
  xLim = 10^par("usr")[1:2]
  yLim = 10^par("usr")[3:4]
  logTicks(xLim, yLim, xLabelSmall = c(5, 50, 500))

## End(Not run)

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