akimafun: univariate Akima interpolation
In ime-luebeck/semgsim: Simulating surface electromyographic (sEMG) and force signals
akimafun R Documentation
univariate Akima interpolation
Description
Creates an interpolating function of irregular, univariate data.
Usage
akimafun(x, y)
Arguments
x
Independent variable data
y
Dependent variable data
Details
Employs Akima's algorithm for univariate interpolation. This is a Hermite
interpolation method, prescribing slopes at data points depending on the
neighbouring points. It is a local method.
Adapted from the "akimaInterp" function in the pracma package, written by Hans W. Borchers.
(Which is also licensed under GPLv3.)
Value
An interpolating function, in the spirit of stats::splinefun.
References
Akima, Hiroshi, "A New Method of Interpolation and Smooth Curve
Fitting Based on Local Procedures", 1970.
ime-luebeck/semgsim documentation built on April 14, 2022, 11:02 p.m.
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| akimafun | R Documentation |
univariate Akima interpolation
Description
Creates an interpolating function of irregular, univariate data.
Usage
akimafun(x, y)
Arguments
x |
Independent variable data |
y |
Dependent variable data |
Details
Employs Akima's algorithm for univariate interpolation. This is a Hermite interpolation method, prescribing slopes at data points depending on the neighbouring points. It is a local method.
Adapted from the "akimaInterp" function in the pracma package, written by Hans W. Borchers. (Which is also licensed under GPLv3.)
Value
An interpolating function, in the spirit of stats::splinefun.
References
Akima, Hiroshi, "A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures", 1970.
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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