calc_acf: Auto-correlation computation
In vbfelix/relper: Miscellaneous Functions for Data Preparation, Cleaning, and Visualization
calc_acf R Documentation
Auto-correlation computation
Description
Computation of the auto-correlation function (ACF) or the
cross-correlation function (CCF), if the argument 'y' is provided.
Usage
calc_acf(x, y = NULL)
Arguments
x
A numeric vector
y
A numeric vector (default = NULL), that will be the value to compute the CCF
Value
A tibble (lag x 2) with:
- ACF/CCF.
- lag.
Examples
x <- rnorm(100)
calc_acf(x)
y <- rexp(100)
calc_acf(x,y)
vbfelix/relper documentation built on May 10, 2024, 10:50 p.m.
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| calc_acf | R Documentation |
Auto-correlation computation
Description
Computation of the auto-correlation function (ACF) or the cross-correlation function (CCF), if the argument 'y' is provided.
Usage
calc_acf(x, y = NULL)
Arguments
x |
A numeric vector |
y |
A numeric vector (default = NULL), that will be the value to compute the CCF |
Value
A tibble (lag x 2) with:
- ACF/CCF.
- lag.
Examples
x <- rnorm(100)
calc_acf(x)
y <- rexp(100)
calc_acf(x,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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