Summarise Weather Inside a Single Window — summarise_weather

Computes a small set of epidemiology-friendly summaries from a subset of a weather time series.

Usage

summarise_weather_window(
  weather,
  weather_cols = NULL,
  temp_col = "temp",
  rh_col = "rh",
  rain_col = "rain",
  leaf_wetness_col = "leaf_wetness",
  statistics = list(
    temp = c("mean", "min", "max"),
    rh = "mean",
    rain = "sum",
    leaf_wetness = "sum"
  )
)

Arguments

weather: A validated weather data frame.
weather_cols: Character vector of weather columns to summarize. If named, the names are used in the output feature names.
temp_col: Name of the temperature column.
rh_col: Name of the relative humidity column.
rain_col: Name of the rainfall column.
leaf_wetness_col: Name of the leaf wetness column.
statistics: Summary statistics to compute. Use a character vector to apply the same statistics to all weather_cols, such as c("mean", "sd", "IQR"). Use a named list to choose statistics by variable or to provide custom named functions. Use .conditions for multivariable condition summaries such as count_when(temp >= 18 & rh >= 90). Threshold summaries should be specified here, for example list(rh = list(days_at_or_above_90 = count_at_or_above(90))).

Value

A one-row data frame with summary metrics.