gorilla: Data : Gorilla Skull

In Riemann: Learning with Data on Riemannian Manifolds

Data : Gorilla Skull

Description

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)

References

\insertRef

dryden_statistical_2016Riemann

Reno PL, Meindl RS, McCollum MA, Lovejoy CO (2003). "Sexual dimorphism in Australopithecus afarensis was similar to that of modern humans." Proceedings of the National Academy of Sciences, 100(16):9404–9409.

See Also

wrap.landmark

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)

Riemann documentation built on March 18, 2022, 7:55 p.m.