afc.mc: 2AFC For Ordinal Polychotomous Observations And Continuous...

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

Description

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

Usage

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afc.mc(obsv, fcst, m = 3)

Arguments

obsv

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

fcst

vector of same length as obsv with real-valued forecasts

m

number of observation categories (default = 3)

Details

This routine applies Eq.18 of Mason and Weigel (2009) to calculate the 2AFC.

Value

p.afc

Value of Generalized Discrimination (2AFC) Score

Author(s)

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

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

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

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

afc documentation built on May 1, 2019, 9:46 p.m.