plot.discovery.curve: Plot a Discovery Curve

In sprex: Calculate Species Richness and Extrapolation Metrics

Description

Plot a species discovery curve.

Usage

## S3 method for class 'discovery.curve'
plot(x, col = "darksalmon", lwd = 2,
  xlab = "# Samples", ylab = "n", add = FALSE, ...)

Arguments

x	result of a call to discovery.curve.
col	color of confidence interval polygon and line denoting s.est.
lwd	line widths.
xlab, ylab	labels of x and y axes. Only used if add = FALSE.
add	logical. If TRUE, polygon and lines are added to the current plot.
...	other arguments passed to plot (ignored).

Author(s)

Eric Archer [e-mail]

References

Colwell, R.K., A. Chao, N.J. Gotelli, S.-Y. Lin, C.X. Mao, R.L. Chazdon, and J.T. Longino. 2012. Models and estimators linking individual-based and sample-based rarefaction, extrapolation and comparison of assemblages. Journal of Plant Ecology 5(1):3-21.

See Also

discovery.curve

Examples

data(osa.old.growth)
f <- expand.freqs(osa.old.growth)
d <- discovery.curve(f, f0.func = Chao1, max.x = 1200)
plot(d)

sprex documentation built on May 2, 2019, 9:42 a.m.