A phylogenetic tree of class phylo - see read.tree in library ape
A
A matrix (n x [p x k]) or 3D array (p x k x n) containing GPA-aligned coordinates for a set of specimens
tip.labels
A logical value indicating whether taxa labels (tips) should be included
node.labels
A logical value indicating whether node labels (ancestors) should be included
ancStates
A logical value indicating whether ancestral state values should be returned
xaxis
A numeric value indicating which PC axis should be displayed as the X-axis (default = PC1)
yaxis
A numeric value indicating which PC axis should be displayed as the Y-axis (default = PC2)
zaxis
Optional, a numeric value indicating which PC axis should be displayed as the Z-axis (e.g. PC3) or if zaxis="time",
internal nodes are plotted along the Z-axis relative to time
plot.param
A list of plotting parameters for the tips (t.bg, t.pch, t.cex), nodes (n.bg, n.pch, n.cex),
branches (l.col, lwd), taxa labels (txt.cex, txt.adj, txt.col) and node labels (n.txt.cex, n.txt.adj, n.txt.col)
shadow
A logical value indicating whether a 2D phylomorphospace should be plotted at the base when zaxis="time"
Details
The function creates a plot of the principal dimensions of tangent space for a set of Procrustes-aligned
specimens. Default is a plot of PC axis 1 and 2. The phylogenetic tree for these specimens is superimposed in this plot revealing how shape
evolves (e.g., Rohlf 2002; Klingenberg and Gidaszewski 2010). The plot also displays the ancestral
states for each node of the phylogenetic tree (analagous to fastAnc from phytools), whose values can optionally be returned.
If a tree with branch lengths scaled by time is used, with the option zaxis = "time", the function plots a 3D phylomorphospace, with internal nodes positioned along the Z-axis scaled
to time (a.k.a. Chronophylomorphospace, Sakamoto & Ruta 2012).
Value
Function returns estimated ancestral states if ancStates=TRUE
Author(s)
Dean Adams & Emma Sherratt
References
Klingenberg, C. P., and N. A. Gidaszewski. 2010. Testing and quantifying phylogenetic
signals and homoplasy in morphometric data. Syst. Biol. 59:245-261.
Rohlf, F. J. 2002. Geometric morphometrics and phylogeny. Pp.175-193 in N. Macleod, and
P. Forey, eds. Morphology, shape, and phylogeny. Taylor & Francis, London.
Sakamoto, M. and Ruta, M. 2012. Convergence and Divergence in the Evolution of Cat
Skulls: Temporal and Spatial Patterns of Morphological Diversity. PLoSONE 7(7): e39752.
Examples
data(plethspecies)
Y.gpa<-gpagen(plethspecies$land) #GPA-alignment
plotGMPhyloMorphoSpace(plethspecies$phy,Y.gpa$coords)
plotGMPhyloMorphoSpace(plethspecies$phy,Y.gpa$coords,
plot.param=list(t.bg="blue",txt.col="red",n.cex=1))
#NOTE: 3D plot also available: plotGMPhyloMorphoSpace(plethspecies$phy,Y.gpa$coords, zaxis= "time",
# plot.param=list(n.cex=2, n.bg="blue"), shadow=TRUE)