cumfd | R Documentation |
Function smooth.morph()
maps a sorted set of variable values inside
a closed interval into a set of equally-spaced probabilities in [0,1].
cumfd(xrnd, xrng, nbreaks=7, nfine=101)
xrnd |
A vector of variable unsorted values. |
xrng |
A vector of length 2 containing the boundary values. |
nbreaks |
The number of knots to use to define object |
nfine |
The number of equally spaced values spanning xrng. |
Only the values of x within the interior of xrng are used in order to avoid distortion due to boundary inflation or deflation.
A named list of length 2 containing:
Wfdobj |
a functional data object defining function $W(x)$ that that optimizes the fit to the data of the monotone function that it defines. |
cdffine |
a vector of length nfine of an equally spaced mesh of values for the cumulative distribution function. |
smooth.morph
,
landmarkreg
,
register.fd
# see the use of smooth.morph in landmarkreg.R
xrnd <- rbeta(50, 2, 5)
xrng <- c(0,1)
hist(xrnd)
range(xrnd)
cdfd <- cumfd(xrnd, xrng)
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