afc.mm {afc} | R Documentation |
2AFC For Ordinal Polychotomous Observations And Ordinal Polychotomous Forecasts
Description
Routine to calculate the Generalized Discrimination Score (aka Two-Alternatives Forced Choice Score 2AFC) for the situation of polychotomous observations (ordinal) and polychotomous forecasts (ordinal)
Usage
afc.mm(obsv, fcst, mv = 3, mf = 3)
Arguments
obsv |
vector with polychotomous observations (values in 1,..,mv) |
fcst |
vector of same length as obsv with polychotomous forecasts (values in 1,..,mf) |
mv |
number of observation categories (default = 3) |
mf |
number of forecast categories (default = 3) |
Details
This routine applies Eq.14 of Mason and Weigel (2009) to calculate the 2AFC.
Value
p.afc |
Value of Generalized Discrimination (2AFC) Score |
Author(s)
Andreas Weigel, Federal Office of Meteorology and Climatology, MeteoSwiss, Zurich, Switzerland
References
S.J. Mason and A.P. Weigel, 2009. A generic verification framework for administrative purposes. Mon. Wea. Rev., 137, 331-349
See Also
Examples
#Forecasts and observations of Nino-3.4 index
#Load set of polychotomous observations (4 categories) and polychotomous forecasts (4 categories)
data(cnrm.nino34.mm)
obsv = cnrm.nino34.mm$obsv
fcst = cnrm.nino34.mm$fcst
#Calculate skill score
afc.mm(obsv,fcst,4,4)