View source: R/stats-time-series-tidiers.R
tidy.ts | 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 'ts'
tidy(x, ...)
x |
A univariate or multivariate |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in
|
series
column is only present for multivariate ts
objects.
A tibble::tibble()
with columns:
index |
Index (i.e. date or time) for a 'ts' or 'zoo' object. |
series |
Name of the series (present only for multivariate time series). |
value |
The value/estimate of the component. Results from data reshaping. |
tidy()
, stats::ts()
Other time series tidiers:
tidy.acf()
,
tidy.spec()
,
tidy.zoo()
set.seed(678)
tidy(ts(1:10, frequency = 4, start = c(1959, 2)))
z <- ts(matrix(rnorm(300), 100, 3), start = c(1961, 1), frequency = 12)
colnames(z) <- c("Aa", "Bb", "Cc")
tidy(z)
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