Extract Trends from Time Series
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Documentation for package ‘trendseries’ version 1.7.0
Help Pages
| augment_rolling | Add rolling aggregation columns to a data frame |
| augment_trends | Add trend columns to data frame |
| coffee_arabica | Daily Arabica Coffee Price Indicator |
| coffee_robusta | Daily Robusta Coffee Price Indicator |
| converters | Data Format Conversion Utilities |
| decompose_series | Decompose time series into trend, seasonal, and remainder components |
| deseason_series | Seasonally adjust (deseason) a time series |
| detrend_series | Detrend a time series |
| df_to_ts | Convert a data.frame into a time series (ts) |
| electric | Residential Electricity Consumption |
| electricity | Electricity Consumption by Sector |
| extract_trends | Extract trends from time series objects |
| gdp_construction | Quarterly GDP — Building Industry |
| ibcbr | Central Bank Economic Activity Index (IBC-Br) |
| index_series | Index one or more series |
| metadata_series | Series Metadata |
| oil_derivatives | Petroleum Derivatives Production |
| retail_autofuel | Great Britain Retail Sales Volume Index: Automotive Fuel |
| retail_volume | Great Britain Retail Sales Volume Indices |
| roll_series | Rolling aggregations for time series objects |
| transit_london_avgs | TfL Network Demand: Average Daily Journeys |
| transit_london_monthly | TfL Network Demand: Monthly Bus and Tube Journeys |
| ts_to_df | Convert time series to tibble |
| vehicles | Total Vehicle Sales |