seas-package: Seasonal statistics: the 'seas' package for R

In seas: Seasonal Analysis and Graphics, Especially for Climatology

Seasonal statistics: the ‘seas’ package for R

Description

The seas package for the R programming environment is capable of conveying descriptive statistics and graphics for seasonal variables, as found in climatology, hydrology and ecology. Seasonal variables can be continuous (i.e., temperature) or discontinuous (i.e., precipitation). An annum can be partitioned into many arbitrary divisions, or seasonal components, such as by month or into other fixed intervals. Boxplots are used to describe the seasonal distributions of continuous variables. Discontinuous variables need to be summed over time to smooth the irregularities before the variable can evaluated and visualized. Statistics, such as precipitation normals, may be derived from the summed variables, using the mean or median methods. Other tools and utilities provided in the package can calculate precipitation interarrivals, cumulative precipitation departures, find changes between two normals, and import data from archive formats.

To get started, try some examples, such as seas.sum, seas.norm. There will be more help added here someday!

Source code and issues are at https://github.com/mwtoews/seas

Author(s)

Mike Toews

References

Toews, M.W., Whitfield, P.H., and Allen, D.M. 2007. Seasonal statistics: The ‘seas’ package for R. Computers & Geosciences, 33 (7), 944–951, doi: 10.1016/j.cageo.2006.11.011

Examples

# Show a list of changes to the package:
file.show(system.file("ChangeLog", package="seas"))

seas documentation built on May 2, 2022, 5:08 p.m.