sie | R Documentation |
Fit a breakpoint regression model to data to find threshold for the small island effect (SIE) as described in Lomolino...
sie(S, A, method = "Nelder-Mead", ...)
sieplot(x, add = FALSE, ...)
S |
untransformed species richness, vector. |
A |
untransformed area, vector. |
x |
a fitted model object of class 'sie'. |
method |
optimization method. |
add |
logical, if lines should be added to existing plot ( |
... |
graphical arguments passed to |
sie
fits the breakpoint regression to the data,
richness is log(S+0.5)
transformed, area is log(A)
transformed before analysis.
There is a coef
, summary
, print
method for fitted objects.
sieplot
plots the observed (transformed)
data and the fitted line.
An S4 object of class 'sie' inheriting from class 'mle'.
Peter Solymos
Lomolino, M. V., and M. D. Weiser. 2001. Towards a more general species-area relationship: diversity on all islands, great and small. Journal of Biogeography, 28, 431–445.
data(sardata)
DAT <- sardata$islands[sardata$islands$study=="abbott1978plant",]
(x <- sie(DAT$S, DAT$A))
coef(x)
summary(x)
sieplot(x)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.