twodvarshape: twodvarshape Calculates the shape variation associated to a...

twodvarshapeR Documentation

twodvarshape Calculates the shape variation associated to a value of PC scores associated to a specific combined landmark configuration or view

Description

twodvarshape Calculates the shape variation associated to a value of PC scores associated to a specific combined landmark configuration or view

Usage

twodvarshape(twodviews_ob, scores, PC, view)

Arguments

twodviews_ob

object from twodviews()

scores

numeric: the values of the PC scores for which the visualization is called

PC

PC chosen

view

numeric: which landmark configuration will be used to build the shape variation

Value

mat matrix of coordinates associated to the called shape variation

Author(s)

Antonio Profico, Costantino Buzi, Marina Melchionna, Paolo Piras, Pasquale Raia, Alessio Veneziano

References

Profico, A., Piras, P., Buzi, C., Del Bove, A., Melchionna, M., Senczuk, G., ... & Manzi, G. (2019). Seeing the wood through the trees. Combining shape information from different landmark configurations. Hystrix, 157-165.

Examples

library(Arothron)
#load the 2D primate dataset
data("Lset2D_list")
#combine the 2D datasets and PCA
combin2D<-twodviews(Lset2D_list,scale=TRUE,vector=c(1:5))
#calculate the shape variation associated to the negative extreme value of PC1
min_PC1<-twodvarshape(combin2D,min(combin2D$PCscores[,1]),1,5)
plot(min_PC1,asp=1)
#calculate the shape variation associated to the positive extreme value of PC1
max_PC1<-twodvarshape(combin2D,max(combin2D$PCscores[,1]),1,5)
plot(max_PC1,asp=1)

Arothron documentation built on Feb. 16, 2023, 5:17 p.m.