afc.dp: 2AFC For Dichotomous Observations And Probabilistic Forecasts
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 dichotomous observations and discrete probabilistic forecasts

1	afc.dp(obsv, fcst)

`obsv`	vector with dichotomous observations (values in 0,1)
`fcst`	vector of same length as obsv with forecast probabilities for the event to happen

This routine applies Eq.5 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 dichotomous observations and probabilistic forecasts
  data(cnrm.nino34.dp)
  obsv = cnrm.nino34.dp$obsv
  fcst = cnrm.nino34.dp$fcst

  #Calculate skill score
  afc.dp(obsv,fcst)