Get Time Features from Zoo Objects

This function generates a data frame summarizing the time features (class, length, resolution, and others) of zoo time series.

Usage

zoo_time(x = NULL, keywords = c("resample", "aggregate"))

Arguments

x

(required, zoo object) Zoo time series to analyze. Default: NULL.

keywords

(optional, character string or vector) Defines what keywords are returned. If "aggregate", returns valid keywords for zoo_aggregate(). If "resample", returns valid keywords for zoo_resample(). If both, returns all valid keywords. Default: c("aggregate", "resample").

Value

Data frame with the following columns:

• name (string): time series name.

• rows (integer): number of observations.

• class (string): time class, one of "Date", "POSIXct", or "numeric."

• units (string): units of the time series.

• length (numeric): total length of the time series expressed in units.

• resolution (numeric): average interval between observations expressed in units.

• begin (date or numeric): begin time of the time series.

• end (date or numeric): end time of the time series.

• keywords (character vector): valid keywords for tsl_aggregate() or tsl_resample(), depending on the value of the argument keywords.

See also

Other zoo_functions: zoo_aggregate(), zoo_name_clean(), zoo_name_get(), zoo_name_set(), zoo_permute(), zoo_plot(), zoo_resample(), zoo_to_tsl(), zoo_vector_to_matrix()

Examples

#simulate a zoo time series
x <- zoo_simulate(
  rows = 150,
  time_range = c(
    Sys.Date() - 365,
    Sys.Date()
  ),
  irregular = TRUE
)

#time data frame
zoo_time(
  x = x
)
#>   name rows class units   length resolution      begin        end     keywords
#> 1    A  150  Date  days 362.5585   2.433279 2023-11-18 2024-11-14 quarters....