| efourier_norm {pliman} | R Documentation |
Normalized Fourier coefficients
Description
The first harmonic defines an ellipse that best fits the outlines. One can
use the parameters of the first harmonic to “normalize” the data so that they
can be invariant to size, rotation, and starting position of the outline
trace. This approach is referred to in the literature as the normalized
elliptic Fourier. efourier_norm() calculates a new set of Fourier
coefficients An, Bn, Cn, Dn that one can use for further multivariate
analyses (Claude, 2008).
Usage
efourier_norm(x, start = FALSE)
Arguments
x |
An object computed with |
start |
Logical value telling whether the position of the starting point has to be preserved or not. |
Details
Adapted from Claude (2008). pp. 226.
Value
A list with the following components:
-
A,B,C,Dfor harmonic coefficients. -
sizethe magnitude of the semi-major axis of the first fitting ellipse. -
thetaangle, in radians, between the starting and the semi-major axis of the first fitting ellipse. -
psiorientation of the first fitting ellipse -
a0andc0, harmonic coefficients. -
lnefthe concatenation of coefficients. -
nharmthe number of harmonics used.
References
Claude, J. (2008) Morphometrics with R, Use R! series, Springer 316 pp.
Examples
library(pliman)
leaf1 <- contours[[4]]
plot_polygon(leaf1)
# compute the Fourier coefficients
ef <- efourier(leaf1)
efourier_coefs(ef)
# Normalized Fourier coefficients
efn <- efourier_norm(ef)
efourier_coefs(efn)