tiger (version 0.1)

tiger-package: TIme series of Grouped ERrors

Description

About fifty performance measures are calculated for a gliding window, comparing two time series. The resulting matrix is clustered, such that each time window can be assigned to an error type cluster. The mean performance measures for each cluster can be used to give meaning to each cluster. Additionally, synthetic peaks are used to better characterize the clusters. The package provides functions to calculate and visualize these results.

Details

ll{ Package: tiger Type: Package Version: 0.1 Date: 2009-02-25 License: GPL-2 LazyLoad: yes }

Use tiger to perform the calculations. See the package vignette for an example, how to perform calculations and how to evaluate information

References

Reusser, D. E., Blume, T., Schaefli, B., and Zehe, E.: Analysing the temporal dynamics of model performance for hydrological models, Hydrol. Earth Syst. Sci. Discuss., 5, 3169-3211, 2008.

Examples

data(tiger.example)
modelled <- tiger.res$modelled
measured <- tiger.res$measured
peaks <- synth.peak.error(rise.factor=2, recession.const=0.02, rise.factor2=1.5)
result2 <- tiger(modelled=modelled[1000:3000], measured=measured[1000:3000], window.size=240, synthetic.errors=peaks)
errors.in.time(d.dates[1000:3000], result2, solution=6, show.months=TRUE)