This is 29 male and 30 female gorillas' skull landmark data where each individual is represented as 8-ad/landmarks in 2 dimensions. This is a re-arranged version of the data from shapes package.
Usage
data(gorilla)Format
a named list containing
- male
a 3d array of size \((8\times 2\times 29)\)
- female
a 3d array of size \((8\times 2\times 30)\)
Source
The arrays match shapes::gorm.dat and
shapes::gorf.dat after reordering landmarks by
c(1, 5, 4, 3, 2, 8, 7, 6). This exact correspondence was verified
against shapes 1.2.8; coordinates and individual ordering are
otherwise unchanged. The upstream manual attributes the data to
Paul O'Higgins and cites O'Higgins and Dryden (1993).
https://cran.r-project.org/package=shapes
Details
These are raw landmark configurations. wrap.landmark
removes translation and scale and uses orthogonal alignment, including
reflections. The resulting shape analysis is different from analysis
of the original sizes or an orientation-preserving quotient.
Preserve the documented landmark order in comparisons with shapes.
References
Dryden IL, Mardia KV (2016). Statistical shape analysis with applications in R, Wiley series in probability and statistics, Second edition edition. John Wiley and Sons, Chichester, UK ; Hoboken, NJ. ISBN 978-1-119-07251-5 978-1-119-07250-8.
O'Higgins P, Dryden IL (1993). "Sexual dimorphism in hominoids: further studies of craniofacial shape differences in Pan, Gorilla, Pongo." Journal of Human Evolution, 24:183–205.
Examples
data(gorilla) # load the data
riem.female = wrap.landmark(gorilla$female) # wrap as RIEMOBJ
opar <- par(no.readonly=TRUE)
for (i in 1:30){
if (i < 2){
plot(riem.female$data[[i]], cex=0.5,
xlim=c(-1,1)/2, ylim=c(-2,2)/5,
main="30 female gorilla skull preshapes",
xlab="dimension 1", ylab="dimension 2")
lines(riem.female$data[[i]])
} else {
points(riem.female$data[[i]], cex=0.5)
lines(riem.female$data[[i]])
}
}
par(opar)