afc (version 1.4.0)

afc.dm: 2AFC For Dichotomous Observations And Ordinal Polychotomous Forecasts

Description

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)

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)

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

See Also

afc

Examples

  #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)

Run the code above in your browser using DataCamp Workspace