tendency_diag {SeaVal} | R Documentation |
Tendency diagram from a data table containing tercile forecasts.
Description
Tendency diagram from a data table containing tercile forecasts.
Usage
tendency_diag(
dt,
f = c("below", "normal", "above"),
o = tc_cols(dt),
by = NULL,
pool = setdiff(dimvars(dt), by),
dim.check = TRUE
)
Arguments
dt |
Data table containing tercile forecasts |
f |
column names of the prediction columns |
o |
column name of the observation column |
by |
column names of grouping variables. Default is to not group. |
pool |
column names of pooling variables (used for the dimension check). Default is all dimvars. |
dim.check |
Logical. If TRUE, the function checks whether the columns in by and pool span the entire data table. |
Value
If by == NULL a gg object, otherwise a list of gg objects that can be plotted by ggpubr::ggarrange (for example)
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)
pp = tendency_diag(dt)
if(interactive()) plot(pp)
[Package SeaVal version 1.2.0 Index]