Function reference

All functions

add_index()

Adds a sequential index column to a data frame

arima_string()

Print the ARIMA model parameters

bats_string()

Print the BATS model parameters

bike_sales

Fictional sales data for bike shops purchasing Cannondale bikes

sw_augment()

Augment data according to a tidied model

sw_augment(<default>)

Default augment method

sw_augment_columns()

Augments data

sw_glance()

Construct a single row summary "glance" of a model, fit, or other object

sw_glance(<default>)

Default glance method

sw_sweep()

Tidy forecast objects

sw_tidy()

Tidy the result of a time-series model into a summary tibble

sw_tidy(<default>)

Default tidying method

sw_tidy_decomp()

Coerces decomposed time-series objects to tibble format.

tbats_string()

Print the TBATS model parameters

sw_tidy(<HoltWinters>) sw_glance(<HoltWinters>) sw_augment(<HoltWinters>) sw_tidy_decomp(<HoltWinters>)

Tidying methods for HoltWinters modeling of time series

sw_tidy(<StructTS>) sw_glance(<StructTS>) sw_augment(<StructTS>)

Tidying methods for StructTS (Error, Trend, Seasonal) / exponential smoothing modeling of time series

sw_tidy(<Arima>) sw_glance(<Arima>) sw_augment(<Arima>) sw_tidy(<stlm>)

Tidying methods for ARIMA modeling of time series

sw_tidy(<bats>) sw_glance(<bats>) sw_augment(<bats>) sw_tidy_decomp(<bats>)

Tidying methods for BATS and TBATS modeling of time series

sw_tidy_decomp(<decomposed.ts>)

Tidying methods for decomposed time series

sw_tidy(<ets>) sw_glance(<ets>) sw_augment(<ets>) sw_tidy_decomp(<ets>)

Tidying methods for ETS (Error, Trend, Seasonal) exponential smoothing modeling of time series

sw_tidy(<nnetar>) sw_glance(<nnetar>) sw_augment(<nnetar>)

Tidying methods for Nural Network Time Series models

sw_tidy(<stl>) sw_tidy_decomp(<stl>) sw_tidy_decomp(<stlm>) sw_glance(<stlm>) sw_augment(<stlm>)

Tidying methods for STL (Seasonal, Trend, Level) decomposition of time series

validate_index()

Validates data frame has column named the same name as variable rename_index