tidy.zoo {broom} | 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 cross 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 one row for each observation in the zoo
time series and columns:
index |
Index (usually date) for the zoo object |
series |
Name of the series |
value |
Value of the observation |
Other time series tidiers: tidy.acf
,
tidy.spec
, tidy.ts
library(zoo) library(ggplot2) set.seed(1071) # data generated as shown in the zoo vignette 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) 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()