2AFC For Dichotomous Observations And Ordinal Polychotomous Forecasts

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

Usage

afc.dm(obsv, fcst, mf = 3, na.rm = FALSE)

Arguments

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)
na.rm: logical; if TRUE pairs where obsv or fcst is NA are removed before scoring. Default FALSE returns NA if any input contains NA.

Value

p.afc: Value of Generalized Discrimination (2AFC) Score

Details

This routine applies Eq.5 of in Mason and Weigel (2009) to calculate the 2AFC.

References

S.J. Mason and A.P. Weigel, 2009. A generic verification framework for administrative purposes. Mon. Wea. Rev., 137, 331-349

Author

Andreas Weigel, Federal Office of Meteorology and Climatology, MeteoSwiss, Zurich, Switzerland

Examples

  data(cnrm.nino34.dm)
  obsv = cnrm.nino34.dm$obsv
  fcst = cnrm.nino34.dm$fcst
  afc.dm(obsv,fcst,4)
#> [1] 0.952