align.missing: Procrustes superimposition of landmark datasets with some...

In LOST: Missing Morphometric Data Simulation and Estimation

Procrustes superimposition of landmark datasets with some missing values

Description

This function carries out a generalized procrustes superimposition on all fully complete specimens and produces a consensus configuration (using "Shapes" procGPA). Each incomplete specimen is then individually rotated and aligned with the consensus configuration based on any landmarks are available (using "Shapes" procOPA). Data is returned superimposed.

Usage

align.missing(X)

Arguments

X	An l X 2 (or 3) X n array of coordinate data, where n is the number of specimens and l is the number of landmarks.

Value

Returns An l X 2 (or 3) X n array of coordinate data

Author(s)

J. Arbour

References

Arbour, J. and Brown, C. 2014. Incomplete specimens in Geometric Morphometric Analyses. Methods in Ecology and Evolution 5(1):16-26.

See Also

MissingGeoMorph

Examples

data(dacrya)

## make some specimens incomplete
dac.miss<-missing.data(dacrya,remsp=0.2,land.vec=c(1,2,3,4,5,6))

## align all specimens
dac.aligned<-align.missing(dac.miss)

LOST documentation built on July 4, 2024, 9:06 a.m.