#' score.CSI_b
#'
#' Critical Success Index
#' The CSI, also known as threat score, ranges from 0 to 1 where 0 indicates no skill and 1 is a perfect score. It
#' measures the fraction of the observed and/or forecasted precipitation that was correctly predicted. Unlike the
#' POD and the FAR, it takes into account both false alarms and misses, and is therefore a more balanced score
#' @param matrix_data observed
#' @param matrix_data2 forecasted
#' @param ths
#' @keywords score
#' @export
#' @examples
#' score.CSI_b()
score.CSI_b<-function(matrix_data, #observed
matrix_data2,#forecasted,
ths) {
#2x2 contingency table
# obs
#f | Y | N |
#o Y| Hit1 | FA |
#r N| Missing| correct negatives |
contingency_matrix<-matrix(NA,2,2)
Hit <-length(which ( score.ContingencyCase(data1=matrix_data,
data2=matrix_data2,
ths1=ths,
ths2=ths,
caseCT="HIT")))
FA <-length(which ( score.ContingencyCase(data1=matrix_data,
data2=matrix_data2,
ths1=ths,
ths2=ths,
caseCT="FA")))
Missing <-length(which ( score.ContingencyCase(data1=matrix_data,
data2=matrix_data2,
ths1=ths,
ths2=ths,
caseCT="MISSING")))
Neg<-length(which ( score.ContingencyCase(data1=matrix_data,
data2=matrix_data2,
ths1=ths,
ths2=ths,
caseCT="NEG")))
results<-(Hit)/(Hit+Missing+FA)
return(results)
}
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