View source: R/index-tk_index.R
| tk_index | R Documentation |
Extract an index of date or datetime from time series objects, models, forecasts
tk_index(data, timetk_idx = FALSE, silent = FALSE)
has_timetk_idx(data)
data |
A time-based tibble, time-series object, time-series model,
or |
timetk_idx |
If |
silent |
Used to toggle printing of messages and warnings. |
tk_index() is used to extract the date or datetime index from various
time series objects, models and forecasts.
The method can be used on tbl, xts, zoo, zooreg, and ts objects.
The method can additionally be used on forecast objects and a number of
objects generated by modeling functions such as Arima, ets, and HoltWinters
classes to get the index of the underlying data.
The boolean timetk_idx argument is applicable to regularized time series objects
such as ts and zooreg classes that have both a regularized index and potentially
a "timetk index" (a time-based attribute).
When set to FALSE the regularized index is returned.
When set to TRUE the time-based timetk index is returned if present.
has_timetk_idx() is used to determine if the object has a "timetk index" attribute
and can thus benefit from the tk_index(timetk_idx = TRUE).
TRUE indicates the "timetk index" attribute is present.
FALSE indicates the "timetk index" attribute is not present.
If FALSE, the tk_index() function will return the default index for the data type.
Important Note: To gain the benefit of timetk_idx the time series
must have a timetk index.
Use has_timetk_idx to determine if the object has a timetk index.
This is particularly important for ts objects, which
by default do not contain a time-based index and therefore must be coerced from time-based
objects such as tbl, xts, or zoo using the tk_ts() function in order
to get the "timetk index" attribute.
Refer to tk_ts() for creating persistent date / datetime index
during coercion to ts.
Returns a vector of date or date times
tk_ts(), tk_tbl(), tk_xts(), tk_zoo(), tk_zooreg()
# Create time-based tibble
data_tbl <- tibble::tibble(
date = seq.Date(from = as.Date("2000-01-01"), by = 1, length.out = 5),
x = rnorm(5) * 10,
y = 5:1
)
tk_index(data_tbl) # Returns time-based index vector
# Coerce to ts using tk_ts(): Preserves time-basis
data_ts <- tk_ts(data_tbl)
tk_index(data_ts, timetk_idx = FALSE) # Returns regularized index
tk_index(data_ts, timetk_idx = TRUE) # Returns original time-based index vector
# Coercing back to tbl
tk_tbl(data_ts, timetk_idx = FALSE) # Returns regularized tbl
tk_tbl(data_ts, timetk_idx = TRUE) # Returns time-based tbl
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