afc.mp: 2AFC For Ordinal Polychotomous Observations And Probabilistic...
In afc: Generalized Discrimination Score

Description Usage Arguments Details Value Author(s) References See Also Examples

Routine to calculate the Generalized Discrimination Score (aka Two-Alternatives Forced Choice Score 2AFC) for the situation of polychotomous observations (ordinal) and discrete probabilistic forecasts

1	afc.mp(obsv, fcst, m = 3)

`obsv`	vector with polychotomous observations (values in 1,..,m)
`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.16 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

afc

  #Forecasts and observations of Nino-3.4 index
  #Load set of polychtomous observations (4 categories) and probabilistic forecasts
  data(cnrm.nino34.mp)
  obsv = cnrm.nino34.mp$obsv
  fcst = cnrm.nino34.mp$fcst

  #Calculate skill score
  afc.mp(obsv,fcst,4)