Hi,
I am trying to normalize some data. First I fitted a principal curve
(using the LCPM package), but now I would like to apply a
transformation so that the curve becomes a "straight diagonal line" on
the plot. The data used to fit the curve would then be normalized by
applying the same transformation to it.
A simple solution could be to apply translations only (e.g., as done
after a fit using loess), but here rotations would have to be applied
as well. One could visualize this as the "stretching of a curve",
i.e., during such an "unfolding" process, both translations and
rotations would need to be applied.
Before I embark on this (which would require me remembering long
forgotten geometry principles) I was wondering if you can think of
packages or tricks that could make my life simpler?
Thanks for any input,
Emmanuel
Below I provide an example - the black curve is to be "brought" along
the diagonal, and all data points normal to a "small segment" (of the
black curve) would undergo the same transformation as it - what
"small" is remains to be defined though.
tmp=rnorm(2000)
X.1 = 5+tmp
Y.1 = 5+ (5*tmp+rnorm(2000))
tmp=rnorm(1000)
X.2 = 9+tmp
Y.2 = 40+ (1.5*tmp+rnorm(1000))
X.3 = 7+ 0.5*runif(500)
Y.3 = 15+20*runif(500)
X = c(X.1,X.2,X.3)
Y = c(Y.1,Y.2,Y.3)
lpc1 = lpc(cbind(X,Y), scaled=FALSE, h=c(1,1) )
plot(lpc1)
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