Conveniently append common 'deweathering' variables to an air quality time series

This function conveniently manipulates a datetime ('POSIXct') column (by default named 'date') into a series of columns which are useful features in deweather models. Used internally by build_dw_model() and tune_dw_model(), but can be used directly by users if desired.

Usage

append_dw_vars(
  data,
  vars = c("trend", "hour", "weekday", "weekend", "yday", "week", "month"),
  abbr = TRUE,
  ...,
  .date = "date"
)

Arguments

data

An input data.frame with at least one date(time) column.

vars

A character vector of variables of interest. Possible options include: - "trend": a numeric expression of the overall time series - "hour": the hour of the day (0-23) - "weekday": the day of the week (Sunday through Saturday) - "weekend": whether it is a weekend (Saturday, Sunday) or weekday - "yday": the day of the year - "week": the week of the year - "month": the month of the year

abbr

Abbreviate weekday and month strings? Defaults to TRUE, which tends to look better in plots.

...

Not used

.date

The name of the 'date' column to use for manipulation.

See also

openair::cutData() for more flexible time series data conditioning.