HS {SeaVal} | R Documentation |
Hit score
Description
This score is suitable for tercile category forecasts. This score is the frequency at which the highest probability category actually happens. The function also provides the frequency at which the second-highest probability category, and lowest probability category, actually happens.
Usage
HS(
dt,
f = c("below", "normal", "above"),
o = tc_cols(dt),
by = by_cols_terc_fc_score(),
pool = "year",
dim.check = TRUE
)
Arguments
dt |
Data table containing the predictions. |
f |
column names of the prediction. |
o |
column name of the observations (either in |
by |
column names of grouping variables, all of which need to be columns in dt. Default is to group by all instances of month, season, lon, lat, system and lead_time that are columns in dt. |
pool |
column name(s) for the variable(s) along which is averaged, typically just 'year'. |
dim.check |
Logical. If TRUE, the function tests whether the data table contains only one row per coordinate-level, as should be the case. |
Value
A data table with the scores
Examples
dt = data.table(below = c(0.5,0.3,0),
normal = c(0.3,0.3,0.7),
above = c(0.2,0.4,0.3),
tc_cat = c(-1,0,0),
lon = 1:3)
print(dt)
HS(dt)