Description Usage Arguments Value Examples
The function evaluates distance between statistical characteristics of specified data sets. Distance is measured as difference for variables included in getOption('additive_variables')
, i.e. temperature (TAS
) by default, and as a ratio for other variables.
1 2 |
x |
List of decomposed variables to be compared |
compare_to |
Decomposed variable used as a reference |
fun |
Function used for comparison |
wet_int_only |
(logical) Should only the wet intervals be considered? |
wet_int_thr |
Numeric value specifying the minimum depth to be considered wet |
exclude_below |
Some of the intervals might not be of required length, e.g. D10 interval may have less than 10 days available. The |
data.table summarizing the differences with columns:
factor indicating the variable
specification of the averaging length with 'D' - day(s), 'M' - month(s), 'Y' - year(s) and 'G1' - the overall mean
averaging length in hours
indication of the aggregating scale specified by agg_by
argument
factor indicating the data sets from x
with labels given by names(x)
distance between data sets from x
and compare_to
. Distance is measured as difference for variables included in getOption('additive_variables')
, i.e. temperature (TAS
) by default, and as a ratio for other variables, see dif
1 2 3 4 5 6 7 8 9 10 11 12 13 | library(ggplot2)
data(basin_PT)
## Not run:
dobs = decomp(basin_PT[['obs_ctrl']])
dctrl = decomp(basin_PT[['sim_ctrl']])
dscen = decomp(basin_PT[['sim_scen']])
d = compare(x = list(CTRL = dctrl, SCEN = dscen), compare_to = dobs, fun = max)
ggplot(d) +
geom_line(aes(x = TS, y = DIF, col = factor(sub_period))) +
facet_grid(variable ~ comp, scale = 'free') +
scale_x_log10()
## End(Not run)
|
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