forward_diff: Forward finite difference approximation of order d
In fdaSP: Sparse Functional Data Analysis Methods
forward_diff R Documentation
Forward finite difference approximation of order d
Description
Forward finite difference approximation of order d
Usage
forward_diff(f, h, d)
Arguments
f
Numeric vector containing function values.
h
Step size (default = 1.0).
d
Order of the derivative (integer >= 1).
Value
Numeric vector of forward differences of order d (length n, last d elements = NA).
#@examples
#f <- c(0, 1, 4, 9, 16)
#forward_diff(f = f, h = 1, d = 2)
fdaSP documentation built on April 28, 2026, 1:07 a.m.
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| forward_diff | R Documentation |
Forward finite difference approximation of order d
Description
Forward finite difference approximation of order d
Usage
forward_diff(f, h, d)
Arguments
f |
Numeric vector containing function values. |
h |
Step size (default = 1.0). |
d |
Order of the derivative (integer >= 1). |
Value
Numeric vector of forward differences of order d (length n, last d elements = NA). #@examples #f <- c(0, 1, 4, 9, 16) #forward_diff(f = f, h = 1, d = 2)
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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