| PSRplot {PVR} | R Documentation |
Plot function for objects of class PSR
Description
Plot PSR curve along with null and neutral expectations curves.
Usage
PSRplot(x, info = c("area", "null", "Brownian", "both"), ...)
Arguments
x |
An object of class PSR |
info |
Type of information to be ploted. It can be "area" (to plot only the PSR curve), "null" (to plot PSR curve and null PSR curve), "neutral" (to plot PSR curve and neutral PSR curve) and "both" (to plot PSR curve and both null and neutral PSR curve). |
... |
Parameters passed to the plot function. |
Author(s)
Santos, T; Diniz-Filho, J.A.F.; Rangel, T.F.; Bini, L.M.
References
Diniz-Filho, J.A.F., Sant'Ana, C.E.R. and Bini, L.M. (1998). An eigenvector method for estimating phylogenetic inertia. Evolution 52:1247-1262.
Diniz-filho, J.A.F., Rangel, T.F., Santos, T. and Bini, L.M. (2012). Exploring patterns of interespecific variation in quantitative traits using sequential phylogenetic eigenvector regressions. Evolution, 66(4):1079-1090.
Diniz-filho, J.A.F., Bini, L.M., Rangel, T.F., Morales-Castilla, I., Olalla-Tarraga, M.A., Rodriguez, M.A. and Hawkins, B.A. (2012). On the selection of phylogenetic eigenvectors for ecological analyses. Ecography, 35:239-249.
See Also
PSR, PVRdecomp, PVR, VarPartplot
Examples
library(splancs)
#Creating a 10 tips ultrametric random phylogeny
library(ape)
tree <- rcoal(10)
#Decomposing phylogenetic distance matrix derived from tree into a set of orthogonal vectors
x <- PVRdecomp(tree)
trait <- runif(10)
res <- PSR(x, trait = trait, null.model = TRUE, Brownian.model = TRUE, times = 10)
PSRplot(res, info = "both")