qm.cdf.bulk: Compute CDF for bulk series
In SvenKotlarski/qmCH2018: Quantile Mapping for CH2018

Description Usage Arguments Value Author(s) Examples

qm.cdf.bulk computes a cumulative distribution function (CDF) for bulk series (no day-of-year dependence). In case of precipitation the function also computes the wet day frequency and the wet day CDF.

1	qm.cdf.bulk(series, minq, maxq, incq, var, pr.wet)

`series`	Time series of modelled / observed data.
`minq`	Minimum quantile [0..1].
`maxq`	Maximum quantile [0..1].
`incq`	Quantile increment (bin size).
`var`	Variable name ("pr" for precip).
`pr.wet`	Wet day threshold [mm/day].

List of 3: $cdf.vector: CDF of bulk series (vector[nquantiles]). $f.wet: wet day frequency of bulk series; NA if not precipitation. $cdf.wet.vector: wet day CDF for bulk series (vector[101]; all percentiles); NA if not precipitation.

Sven Kotlarski (MeteoSwiss)

## Not run: 
# Compute bulk CDF for min and max quantile of 0.01 and 0.99,
# respectively. Quantile increment: 0.01. Variable: Precipitation.
# Wet day threshold: 0.1 mm/day.
qm.cdf.bulk(time.series,0.01,0.99,0.01,'pr',0.1)

## End(Not run)