interp_spline: Evenly Spaced Curve Interpolation using Splines
In wzhorton/warptk: Warping Toolkit
Description
Interpolates curve values using cubic interpolation splines.
The resulting evaluations correspond to an evenly spaced grid of input points.
Often used to time-normalize registered curves onto a common time domain.
Note the quality of interpolation decreases with inadequate density of defining points.
If ties are found among input times, linear interpolation is used instead of splines.
Usage
1
interp_spline(y, x = NULL, nout = NULL)
Arguments
y
numeric vector giving curve values
x
numeric vector giving input times. Defaults to evenly spaced values
nout
number of points defining resultant interpolated curve. Defaults to length of y
wzhorton/warptk documentation built on Nov. 14, 2020, 10:01 p.m.
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Description
Interpolates curve values using cubic interpolation splines. The resulting evaluations correspond to an evenly spaced grid of input points. Often used to time-normalize registered curves onto a common time domain. Note the quality of interpolation decreases with inadequate density of defining points. If ties are found among input times, linear interpolation is used instead of splines.
Usage
1 | interp_spline(y, x = NULL, nout = NULL)
|
Arguments
y |
numeric vector giving curve values |
x |
numeric vector giving input times. Defaults to evenly spaced values |
nout |
number of points defining resultant interpolated curve. Defaults to length of y |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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