uts_gen_yearly_seasonal_avg: Utilities for climate analysis and data reforming

In WoVollmer/pkgTS: Time Series functions

Description

"Widens" monthly long form data form and calculates

• yearly average counts for Jan:Dec and

• seasonal average counts mean data/month

  • seasons are Dec-Feb (DJF), Mar-May (MAM), June-Aug (JJA), Sept-Nov (SON)

  • Winter: year refers to January (realized by lag()).

• note for Precipitation: to be multiplied by 12 if mm/year is needed

Usage

uts_gen_yearly_seasonal_avg(data, season = TRUE)

Arguments

data	A data frame with monthly "count" in long format
season	Logical. If TRUE, the default, seasonal mean will be calculated

Details

The input data frame must have the column names

City, Measure, Year_Month, Year and count

and can be also a tibble or tsibble.

Value

data frame and tibble (not a tsibble), e.g.:
A tibble: 10 x 8 Groups: City, Measure [2] # here: Measure = Temperature and Precipitation City Measure Year Winter_avg Spring_avg Summer_avg Fall_avg Year_avg
<chr> <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>

Examples

# Temperature and Precipitation data of "Basel" w/o NAs rsp. Giessen w/ NAs
uts_gen_yearly_seasonal_avg(monthly_climate_basel)
uts_gen_yearly_seasonal_avg(monthly_climate_giessen)  # w/ NAs
# note: NAs of Winter_avg does not impact Year_avg if this
# NA is caused by December value of previous year

WoVollmer/pkgTS documentation built on June 2, 2021, 4:02 a.m.