par_summarize_temperature: Temperature summary statistics calculated in parallel

In jcoliver/weathercommand: Summary Statistics for Weather Data

Description

A wrapper for summarize_temperature to perform temperature summary statistics calculations in parallel.

Usage

par_summarize_temperature(temperature, num_cores = NULL, id_index = 1, ...)

Arguments

temperature	data frame with daily temperature data for each site
num_cores	integer indicating number of processors to use; if NULL (default), uses one fewer than the number of processors available
id_index	integer column index of unique site id
...	additional values passed to summarize_temperature

Value

tibble with temperature summary statistics

See Also

summarize_temperature

Examples

## Not run: 
# Season defined by 15 March through 15 November
temperature_summary <- par_summarize_temperature(temperature = temperature_2yr,
                                                 start_month = 3,
                                                 end_month = 11)

# Same as example above, but restrict use to 2 processors
temperature_summary <- par_summarize_temperature(temperature = temperature_2yr,
                                                 start_month = 3,
                                                 end_month = 11,
                                                 num_cores = 2)

# Season defined by 15 March through 15 November output separate rows for
# each year
temperature_summary <- par_summarize_temperature(temperature = temperature_2yr,
                                                 start_month = 3,
                                                 end_month = 11,
                                                 wide = FALSE)

## End(Not run)

jcoliver/weathercommand documentation built on Sept. 12, 2021, 3:28 a.m.