sample.acf: Computes the sample autocovariance and autocorrelation...
In gregorkb/tscourse: Contains several functions for time series analysis.
sample.acf R Documentation
Computes the sample autocovariance and autocorrelation functions.
Description
Computes the sample autocovariance and autocorrelation functions.
Usage
sample.acf(x, max.lag = 12)
Arguments
x
a vector containing time series data.
max.lag
the largest lag at which to compute the autocovariance and autocorrelation functions.
Value
a list containing the autocovariance at lags zero through max.lag.
This function computes the sample autocovariance and autocorrelation functions based on the input data.
gregorkb/tscourse documentation built on Oct. 3, 2022, 5:31 p.m.
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| sample.acf | R Documentation |
Computes the sample autocovariance and autocorrelation functions.
Description
Computes the sample autocovariance and autocorrelation functions.
Usage
sample.acf(x, max.lag = 12)
Arguments
x |
a vector containing time series data. |
max.lag |
the largest lag at which to compute the autocovariance and autocorrelation functions. |
Value
a list containing the autocovariance at lags zero through max.lag.
This function computes the sample autocovariance and autocorrelation functions based on the input data.
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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