Prints a screen summary of a WUX data.frame (class wux.df).
Usage
## S3 method for class 'wux.df'
summary(object, parms = c("perc.delta.precipitation_amount",
"delta.air_temperature"), average.over.gcm.runs = FALSE, ...)
Arguments
object
WUX data.frame (wux.df object) obtained from models2wux
parms
String vector specifying the parameters to be evaluated. Default is
perc.delta.precipitation_amount (percentage of precipitation change)
and delta.air_temperature (air temperature change in K).
average.over.gcm.runs
Boolean. Should the runs of the same GCM be averaged out? This is
recommended, as same GCMs tend to behave very similarly when run
with different initial conditions and would thus lead to biased
statistics when regarding as independent. Only available for GCM analysis.
...
Further optional arguments. Not active now.
Details
summary.wux.df gives an overview of model frequenzy and calculates
statistics for each meteorological parameter within each season in
each subregion for all emission scenarios.
print.summaryWuxdf prints the result to the screen.
Value
Returns a summaryWuxdf object, which is a list, but will be
printed in a special way.
The list has two elements, namely overall.stats and
parms.stats. Both are lists again. overall.stats stores
all categorical statistics (climate model counts, emmission scenarios,
rcm-gcm crosstables, ...). parms.stats is a list with
statistics of continuous climate change signals (mean, standard
deviation, coeficent of variation and quantiles) split by season, emission
scenario, meteorological parameters and subregions.