afc.np {afc} | R Documentation |
Routine to calculate the Generalized Discrimination Score (aka Two-Alternatives Forced Choice Score 2AFC) for the situation of polychotomous (nominal) observations and discrete probabilistic forecasts
afc.np(obsv, fcst, m = 3)
obsv |
vector with dichotomous observations (values in 0,1) |
fcst |
two-dimensional array with forecast probabilities for the m categories; dim(fcst)[1] = length(obsv); dim(fcst)[2] = m |
m |
number of observation categories (default = 3) |
This routine applies Eq.17 of 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 polychotomous observations (4 categories) and probabilistic forecasts data(cnrm.nino34.mp) obsv = cnrm.nino34.mp$obsv fcst = cnrm.nino34.mp$fcst #Calculate skill score afc.np(obsv,fcst,4)