pca2shp

<code>numeric</code> indicating the position on the first PC axis

<code>numeric</code> indicating the position on the second PC axis

the harmonic coefficient <code>matrix</code>

data

<code>integer</code> indication how many harmonics to use

nb.h

<code>integer</code> indicating the number of points sampled from the reconstructed outlines

nb.pts

<code>numeric</code> indicating the magnifying factor

<code>integer</code> or <code>character</code> indicating the color to ue for drawing the shape

<code>numeric</code> indicating the <code>lwd</code> for the shape

code{logical} indicating whether to plot the shape

plot

Provided with a harmonic matrix coefficient on which to perform PCA, and given the $(PC_1; PC_2)$ coordinates, it reconstructs the corresponding shape.

Misc functions

Momocs is intended to ease and popularize shape analysis
        of outlines (especially using elliptical Fourier analysis). It
        mostly hinges on the functions developped in Morphometrics with
        R (Claude, 2008). From outline extraction of images and
        elliptical Fourier calculation to multivariate analysis and the
        visualization of transformations within the morphological
        space, Momocs provides a complete and convenient toolkit to
        specialists within every field that are, or may be, interested
        in morphological comparisons of outlines.

pca2shp: Reconstructs a shape given using PCA.

Description

Usage

Arguments

Examples