rfourier_shape
calculates a 'Fourier radii variation shape' given
Fourier coefficients (see Details
) or can generate some 'rfourier'
shapes.
rfourier_shape(an, bn, nb.h, nb.pts = 80, alpha = 2, plot = TRUE)
numeric
. The $a_n$ Fourier coefficients on which to
calculate a shape.numeric
. The $b_n$ Fourier coefficients on which to
calculate a shape.integer
. The number of harmonics to use.integer
. The number of points to calculate.numeric
. The power coefficient associated with the
(usually decreasing) amplitude of the Fourier coefficients (see
Details).logical
. Whether to plot or not the shape.rfourier_shape
can be used by specifying nb.h
and
alpha
. The coefficients are then sampled in an uniform distribution
$(-\pi ; \pi)$ and this amplitude is then divided by
$harmonicrank^alpha$. If alpha
is lower than 1, consecutive
coefficients will thus increase. See rfourier for the mathematical
background.
rfourier_i
,
rfourier
data(bot)
rf <- rfourier(bot[1], 24)
rfourier_shape(rf$an, rf$bn) # equivalent to rfourier_i(rf)
rfourier_shape() # not very interesting
rfourier_shape(nb.h=12) # better
rfourier_shape(nb.h=6, alpha=0.4, nb.pts=500)
# Butterflies of the vignette' cover
panel(Out(a2l(replicate(100,
rfourier_shape(nb.h=6, alpha=0.4, nb.pts=200, plot=FALSE)))))
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