tk_time_series_cv_plan: Time Series Resample Plan Data Preparation

In timetk: A Tool Kit for Working with Time Series

Time Series Resample Plan Data Preparation

Description

The tk_time_series_cv_plan() function provides a simple interface to prepare a time series resample specification (rset) of either rolling_origin or time_series_cv class.

Usage

tk_time_series_cv_plan(.data)

Arguments

.data

A time series resample specification of of either rolling_origin or time_series_cv class.

Details

Resample Set

A resample set is an output of the timetk::time_series_cv() function or the rsample::rolling_origin() function.

Value

A tibble containing the time series crossvalidation plan.

See Also

• time_series_cv() and rsample::rolling_origin() - Functions used to create time series resample specfications.

• plot_time_series_cv_plan() - The plotting function used for visualizing the time series resample plan.

Examples

library(dplyr)
library(rsample)

FB_tbl <- FANG %>%
    filter(symbol == "FB") %>%
    select(symbol, date, adjusted)

resample_spec <- time_series_cv(
    FB_tbl,
    initial = 150, assess = 50, skip = 50,
    cumulative = FALSE,
    lag = 30,
    slice_limit = n())

resample_spec %>% tk_time_series_cv_plan()

timetk documentation built on Nov. 2, 2023, 6:18 p.m.