afc.dm {afc} | R Documentation |
Routine to calculate the Generalized Discrimination Score (aka Two-Alternatives Forced Choice Score 2AFC) for the situation of dichotomous observations and (ordinal) polychotomous forecasts
afc.dm(obsv, fcst, mf = 3)
obsv |
vector with dichotomous observations (values in 0,1) |
fcst |
vector of same length as obsv with polychotomous forecasts (values in 1,..,m) |
mf |
number of forecast categories (default = 3) |
This routine applies Eq.5 of in Mason and Weigel (2009) to calculate the 2AFC.
p.afc |
Value of Generalized Discrimination (2AFC) Score |
Andreas Weigel, Federal Office of Meteorology and Climatology, MeteoSwiss, Zurich, Switzerland
S.J. Mason and A.P. Weigel, 2009. A generic verification framework for administrative purposes. Mon. Wea. Rev., 137, 331-349
#Forecasts and observations of Nino-3.4 index #Load set of dichotomous observations and polychotomous forecasts (4 categories) data(cnrm.nino34.dm) obsv = cnrm.nino34.dm$obsv fcst = cnrm.nino34.dm$fcst #Calculate skill score afc.dm(obsv,fcst,4)