# A Tool Kit for Working with Time Series in R

## Documentation for package ‘timetk’ version 1.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

A B D F G H I L M P R S T W misc

## -- A --

add_time | Add / Subtract (For Time Series)
auto_lambda | Box Cox Transformation

## -- B --

between_time | Between (For Time Series): Range detection for date or date-time sequences
bike_sharing_daily | Daily Bike Sharing Data
box_cox_inv_vec | Box Cox Transformation
box_cox_vec | Box Cox Transformation

## -- D --

diff_inv_vec | Differencing Transformation
diff_vec | Differencing Transformation

## -- F --

filter_by_time | Filter (for Time-Series Data)
fourier_vec | Fourier Series

## -- G --

get_tk_time_scale_template | Get and modify the Time Scale Template

## -- H --

has_timetk_idx | Extract an index of date or datetime from time series objects, models, forecasts

## -- I --

impute_ts_vec | Missing Value Imputation for Time Series

## -- L --

lag_vec | Lag Transformation

## -- M --

m4_daily | Sample of 4 Daily Time Series Datasets from the M4 Competition
m4_hourly | Sample of 4 Hourly Time Series Datasets from the M4 Competition
m4_monthly | Sample of 4 Monthly Time Series Datasets from the M4 Competition
m4_quarterly | Sample of 4 Quarterly Time Series Datasets from the M4 Competition
m4_weekly | Sample of 4 Weekly Time Series Datasets from the M4 Competition
m4_yearly | Sample of 4 Yearly Time Series Datasets from the M4 Competition

## -- P --

pad_by_time | Insert time series rows with regularly spaced timestamps
plot_acf_diagnostics | Visualize the ACF, PACF, and CCFs for One or More Time Series
plot_seasonal_diagnostics | Visualize Multiple Seasonality Features for One or More Time Series
plot_stl_diagnostics | Visualize STL Decomposition Features for One or More Time Series
plot_time_series | Interactive Plotting for One or More Time Series
plot_time_series_cv_plan | Visualize a Time Series Resample Plan

## -- R --

roll_apply_vec | Rolling Window Transformation

## -- S --

set_tk_time_scale_template | Get and modify the Time Scale Template
slidify | Create a rolling (sliding) version of any function
smooth_vec | Smoothing Transformation using Loess
step_box_cox | Box-Cox Transformation using Forecast Methods
step_diff | Create a differenced predictor
step_fourier | Fourier Features for Modeling Seasonality
step_holiday_signature | Holiday Feature (Signature) Generator
step_impute_ts | Imputation for Time Series using Forecast Methods
step_roll_apply | Rolling Window Transformation
step_smooth | Smoothing Transformation using Loess
step_timeseries_signature | Time Series Feature (Signature) Generator
subtract_time | Add / Subtract (For Time Series)
summarise_by_time | Summarise (for Time Series Data)
summarize_by_time | Summarise (for Time Series Data)

## -- T --

taylor_30_min | Half-hourly electricity demand
tidy.step_box_cox | Box-Cox Transformation using Forecast Methods
tidy.step_diff | Create a differenced predictor
tidy.step_fourier | Fourier Features for Modeling Seasonality
tidy.step_holiday_signature | Holiday Feature (Signature) Generator
tidy.step_impute_ts | Imputation for Time Series using Forecast Methods
tidy.step_roll_apply | Rolling Window Transformation
tidy.step_smooth | Smoothing Transformation using Loess
tidy.step_timeseries_signature | Time Series Feature (Signature) Generator
timetk | timetk: a toolkit for time series
timetk_internal | Internal Functions Used in timetk
time_arithmetic | Add / Subtract (For Time Series)
time_series_cv | Time Series Cross Validation
tk_acf_diagnostics | Group-wise ACF, PACF, and CCF Data Preparation
tk_augment_differences | Add many differenced columns to the data
tk_augment_fourier | Add many fourier series to the data
tk_augment_holiday | Add many holiday features to the data
tk_augment_holiday_signature | Add many holiday features to the data
tk_augment_lags | Add many lags to the data
tk_augment_roll_apply | Add many rolling window calculations to the data
tk_augment_timeseries | Add many time series features to the data
tk_augment_timeseries_signature | Add many time series features to the data
tk_get_frequency | Automatic frequency and trend calculation from a time series index
tk_get_holiday | Get holiday features from a time-series index
tk_get_holidays_by_year | Get holiday features from a time-series index
tk_get_holiday_signature | Get holiday features from a time-series index
tk_get_timeseries | Get date features from a time-series index
tk_get_timeseries_signature | Get date features from a time-series index
tk_get_timeseries_summary | Get date features from a time-series index
tk_get_timeseries_unit_frequency | Get the timeseries unit frequency for the primary time scales
tk_get_timeseries_variables | Get date or datetime variables (column names)
tk_get_trend | Automatic frequency and trend calculation from a time series index
tk_index | Extract an index of date or datetime from time series objects, models, forecasts
tk_make_future_timeseries | Make future time series from existing
tk_make_holiday_sequence | Make daily Holiday and Weekend date sequences
tk_make_timeseries | Intelligent date and date-time sequence creation
tk_make_weekday_sequence | Make daily Holiday and Weekend date sequences
tk_make_weekend_sequence | Make daily Holiday and Weekend date sequences
tk_seasonal_diagnostics | Group-wise Seasonality Data Preparation
tk_stl_diagnostics | Group-wise STL Decomposition (Season, Trend, Remainder)
tk_stl_diagnostics.data.frame | Group-wise STL Decomposition (Season, Trend, Remainder)
tk_summary_diagnostics | Group-wise Time Series Summary
tk_tbl | Coerce time-series objects to tibble.
tk_time_scale_template | Get and modify the Time Scale Template
tk_time_series_cv_plan | Time Series Resample Plan Data Preparation
tk_ts | Coerce time series objects and tibbles with date/date-time columns to ts.
tk_ts_ | Coerce time series objects and tibbles with date/date-time columns to ts.
tk_ts_.data.frame | Internal Functions Used in timetk
tk_ts_.default | Internal Functions Used in timetk
tk_xts | Coerce time series objects and tibbles with date/date-time columns to xts.
tk_xts_ | Coerce time series objects and tibbles with date/date-time columns to xts.
tk_zoo | Coerce time series objects and tibbles with date/date-time columns to xts.
tk_zooreg | Coerce time series objects and tibbles with date/date-time columns to ts.
tk_zooreg_ | Coerce time series objects and tibbles with date/date-time columns to ts.
tk_zooreg_.data.frame | Internal Functions Used in timetk
tk_zooreg_.default | Internal Functions Used in timetk
tk_zoo_ | Coerce time series objects and tibbles with date/date-time columns to xts.

## -- W --

walmart_sales_weekly | Sample Time Series Retail Data from the Walmart Recruiting Store Sales Forecasting Competition
wikipedia_traffic_daily | Sample Daily Time Series Data from the Web Traffic Forecasting (Wikipedia) Competition

## -- misc --

%+time% | Add / Subtract (For Time Series)
%-time% | Add / Subtract (For Time Series)