clean_hourly_data: Remove data measurements that are outside of credible ranges

In CraigMohn/wunderWrapper: Wrapper for accessing/storing historic weather data counts using package rwunderground

Description

clean_hourly_data Filter out extreme and implausible values from retrieved weather data. Most limits are user parametrizable, although precip and wind speeds are rejected if nonpositive, and visibility and humidity are restricted to be between 0 and 100.

Usage

clean_hourly_data(df, fast = FALSE, temp.min = -50, temp.max = 130,
  wind_spd.max = 80, wind_gust.max = 120, pressure.min = 20,
  pressure.max = 50, wind_chill.min = -50, wind_chill.max = 70,
  heat_index.min = 50, heat_index.max = 150, precip.max = 2)

Arguments

df	dataframe with the weather data.
fast	use first of duplicate station-time observations rather than mean()
temp.min	numeric temperatures below this will be set to NA.
temp.max	numeric temperatures above this will be set to NA.
wind_spd.max	numeric wind speeds above this will be set to NA.
wind_gust.max	numeric wind speeds above this will be set to NA.
pressure.min	numeric pressure below this will be set to NA.
pressure.max	numeric pressure above this will be set to NA.
wind_chill.min	numeric wind chill below this will be set to NA.
wind_chill.max	numeric wind chill above this will be set to NA.
heat_index.min	numeric heat index below this will be set to NA.
heat_index.max	numeric heat index above this will be set to NA.
precip.max	numeric precip above this will be set to NA.

Value

dataframe with extreme values set to NA

See Also

update_weather rebuild_weather

CraigMohn/wunderWrapper documentation built on May 15, 2019, 5:34 p.m.