afc.dc {afc} | R Documentation |
2AFC For Dichotomous Observations And Continuous Forecasts
Description
Routine to calculate the Generalized Discrimination Score (aka Two-Alternatives Forced Choice Score 2AFC) for the situation of dichotomous observations and continuous forecasts
Usage
afc.dc(obsv, fcst)
Arguments
obsv |
vector with dichotomous observations (values in 0,1) |
fcst |
vector of same length as obsv with real-valued forecasts |
Details
This routine applies Eq.8 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
Examples
#Forecasts and observations of Nino-3.4 index
#Load set of dichotomous observations and continuous forecasts
data(cnrm.nino34.dc)
obsv = cnrm.nino34.dc$obsv
fcst = cnrm.nino34.dc$fcst
#Calculate skill score
afc.dc(obsv,fcst)
[Package afc version 1.4.0 Index]