tidy.ts: Tidy a(n) ts object

View source: R/stats-time-series-tidiers.R

tidy.tsR Documentation

Tidy a(n) ts object


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, ...)



A univariate or multivariate ts times series object.


Additional arguments. Not used. Needed to match generic signature only. Cautionary note: Misspelled arguments will be absorbed in ..., where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass conf.lvel = 0.9, all computation will proceed using conf.level = 0.95. Two exceptions here are:

  • tidy() methods will warn when supplied an exponentiate argument if it will be ignored.

  • augment() methods will warn when supplied a newdata argument if it will be ignored.


series column is only present for multivariate ts objects.


A tibble::tibble() with columns:


Index (i.e. date or time) for a 'ts' or 'zoo' object.


Name of the series (present only for multivariate time series).


The value/estimate of the component. Results from data reshaping.

See Also

tidy(), stats::ts()

Other time series tidiers: tidy.acf(), tidy.spec(), tidy.zoo()



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")


broom documentation built on Aug. 30, 2022, 1:07 a.m.