multi.cont {verification}R Documentation

Multiple Contingency Table Statistics

Description

Provides a variety of statistics for a data summarized in a contingency table. This will work for a 2 by 2 table, but is more useful for tables of greater dimensions.

Usage

multi.cont(DAT)

Arguments

DAT A contingency table in the form of a matrix. It is assumed that columns represent observation, rows represent forecasts.

Value

pc Percent correct - events along the diagonal.
bias Bias
pod Probability of detecting an event.
far False Alarm Rate
ts Threat score a.k.a. Critical success index (CSI)
hss Heidke Skill Score
pss Pierce Skill Score
gs Gerrity Score

Author(s)

Matt Pocernich <pocernic@rap.ucar.edu>

References

Gerrity, J.P. Jr (1992). A note on Gandin and Murphy's equitable skill score. Mon. Weather Rev., 120, 2707-2712.

Jolliffe, I.T. and D.B. Stephenson (2003). Forecast verification: a practitioner's guide in atmospheric science. John Wiley and Sons. See chapter 4 concerning categorical events, written by R. E. Livezey.

Examples

DAT<- matrix(c(7,4,4,14,9,8,14,16,24), nrow = 3) # from p. 80 - Jolliffe
multi.cont(DAT)

DAT<- matrix(c(3,8,7,8,13,14,4,18,25), ncol = 3) ## Jolliffe JJA
multi.cont(DAT)

DAT<- matrix(c(50,47,54,91,2364,205,71,170,3288), ncol = 3) # Wilks p. 245
multi.cont(DAT)

DAT<- matrix(c(28, 23, 72, 2680 ), ncol = 2) ## Finley
multi.cont(DAT)

 

[Package verification version 1.09 Index]