View source: R/stats-time-series-tidiers.R
tidy.acf | R Documentation |
Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
## S3 method for class 'acf'
tidy(x, ...)
x |
An |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in
|
A tibble::tibble()
with columns:
acf |
Autocorrelation. |
lag |
Lag values. |
tidy()
, stats::acf()
, stats::pacf()
, stats::ccf()
Other time series tidiers:
tidy.spec()
,
tidy.ts()
,
tidy.zoo()
tidy(acf(lh, plot = FALSE))
tidy(ccf(mdeaths, fdeaths, plot = FALSE))
tidy(pacf(lh, plot = FALSE))
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