View source: R/stats-time-series.R
tidy.spec | 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 'spec'
tidy(x, ...)
x |
A |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in
|
A tibble::tibble()
with columns:
freq |
Vector of frequencies at which the spectral density is estimated. |
spec |
Vector (for univariate series) or matrix (for multivariate series) of estimates of the spectral density at frequencies corresponding to freq. |
tidy()
, stats::spectrum()
Other time series tidiers:
tidy.acf()
,
tidy.ts()
,
tidy.zoo()
spc <- spectrum(lh)
tidy(spc)
library(ggplot2)
ggplot(tidy(spc), aes(freq, spec)) +
geom_line()
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