fdbk_dt_contscores: Calculates most common contingeny scores

In rfxf/Rfdbk: Handling NetCDF feedback files

Description

Calculates most common contingeny scores

Usage

fdbk_dt_contscores(CONTTABLE, meltTable = T)

Arguments

CONTTABLE	data.table with colums hit,miss,corrneg,false and additional columns (output of fdbk_dt_conttable(_2thrs))
meltTable	if TRUE (default) melt output so that there is one 'scores' column and one 'scorename' column
by	stratify contingency entries by these columns

Value

data.table with one column of score names and one column of scores values

Author(s)

Felix <[e-mail]>

Examples

require(ggplot2)
fnames                = system("ls ~/examplesRfdbk/*/synop/verSYNOP.*",intern=T)
cond                  = list(veri_description="grepl('forecast',veri_description)",
                             veri_forecast_time="veri_forecast_time%in%c(2400,4800,7200,9600,12000,14400,16800)")
columnnames           = c("obs","veri_data","varno","veri_model","veri_forecast_time","statid","veri_initial_date")
DT                    = fdbk_dt_multi_large(fnames,cond,columnnames,20)
thrs                  = list('29'=list('lower'=c(.8,.6),'upper'=c(Inf,.9)),
                              '3'=list('lower'=c(-5,0,5),'upper'=c(Inf,Inf,Inf)))
CONTTABLE             = fdbk_dt_conttable_2thrs(DT,thrs,by=c("veri_model","veri_forecast_time","varno"),cores=2,incores=3)
SCORES                = fdbk_dt_contscores(CONTTABLE)
ggplot(SCORES,aes(x=veri_forecast_time,y=scores,color=thr,linetype=veri_model))+
geom_line()+
geom_point()+
facet_grid(scorename~varno,scale="free_y")+
theme_bw()

rfxf/Rfdbk documentation built on May 27, 2019, 7:22 a.m.