wxsumR: wxsumR: A package for calculating annual summary statistics...

In jcoliver/weathercommand: Summary Statistics for Weather Data

Description

The wxsumR package provides functions for two types of daily data: rainfall and temperature. The resulting output from the functions are a variety of summary statistics (mean, standard deviation, etc.). See documentation for each function for full details of the statistics being calculated.

wxsumR functions

The two primary functions are:

• summarize_rainfall

• summarize_temperature

Each of the two functions has a corresponding parallel implementation, which use functions in the parallel package:

• par_summarize_rainfall

• par_summarize_temperature

The parallel versions are primarily just wrappers for the serial implementations. A note of caution is warranted with the parallel processing functions: these will happily attempt to consume as much RAM as they need. Thus, if you are working with very large datasets ("large" being datasets that have 10 million cells or more) on a not-so-new machine (pre-2018), consider using the serial functions. This will take longer, but is less likely to crash your well-meaning but not quite up to the task laptop from six years ago. One example of how this can be implemented can be found in the wxsumR Quick Reference vignette.

wxsumR data

Sample datasets for both rainfall and temperature are provided as examples.

These datasets illustrate the expected format of input as well as column naming conventions. As column names are expected to include information (i.e. the date of an observation), it is imperative that this format is used for all input files. For more information about expected input column formats, see documentation for date_sep parameter in summarize_rainfall or summarize_temperature.

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