tidy.zoo | 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 'zoo'
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:
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()
, zoo::zoo()
Other time series tidiers:
tidy.acf()
,
tidy.spec()
,
tidy.ts()
# load libraries for models and data
library(zoo)
library(ggplot2)
set.seed(1071)
# generate data
Z.index <- as.Date(sample(12450:12500, 10))
Z.data <- matrix(rnorm(30), ncol = 3)
colnames(Z.data) <- c("Aa", "Bb", "Cc")
Z <- zoo(Z.data, Z.index)
# summarize model fit with tidiers + visualization
tidy(Z)
ggplot(tidy(Z), aes(index, value, color = series)) +
geom_line()
ggplot(tidy(Z), aes(index, value)) +
geom_line() +
facet_wrap(~series, ncol = 1)
Zrolled <- rollmean(Z, 5)
ggplot(tidy(Zrolled), aes(index, value, color = series)) +
geom_line()
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