plot.meteDist: Plot METE distributions and associated data

In cmerow/meteR: Fitting and Plotting Tools for the Maximum Entropy Theory of Ecology (METE)

Description

plot.meteDist plots both the theoretical prediction and data for a meteDist object using either a rank or cumulative distribution plot

Usage

## S3 method for class 'meteDist'
plot(x, ptype = c("cdf", "rad"), th.col = "red",
  lower.tail = TRUE, add.legend = TRUE, add.line = FALSE, ...)

Arguments

x	a meteDist object
ptype	type of plot; either "cdf" or "rad"
th.col	line color of theoretical prediction
lower.tail	logical; choose TRUE to highlight differences between data and theory at low abundance; choose FALSE to highlight differences at high abundance.
add.legend	logical; add a legend
add.line	add the curve for a fitted model to the existing plot
...	arguments to be passed to plot

Details

plot.meteDist automatically extracts the prediction and data (if used in meteESF) from the meteDist object. Additional plotting arguments can be passed to ....

Author(s)

Andy Rominger <[e-mail]>, Cory Merow

References

Harte, J. 2011. Maximum entropy and ecology: a theory of abundance, distribution, and energetics. Oxford University Press.

See Also

sad, ipd, ssad, sipd, print.meteDist

Examples

data(arth)
esf1 <- meteESF(spp=arth$spp,
               abund=arth$count,
               power=arth$mass^(.75),
               minE=min(arth$mass^(.75)))
ipd1 <- ipd(esf1)
plot(ipd1)
plot(ipd1, ptype='rad')

cmerow/meteR documentation built on May 13, 2019, 8:23 p.m.