climtrends (version 1.0.6)

MedianCrossingTest: Median Crossing (non-parametric test for randomness)

Description

MedianCrossingTest returns the result of the Median Crossing (non-parametric test for randomness) applied to a time series.

Usage

MedianCrossingTest(dataSeries)

Arguments

dataSeries

vector with climate data

Value

The result of the Median Crossing test.

Source

Chiew F. and Siriwardena L., 2005 CRC for Catchment Hydrology Trend 1.0.2 User Guide, chapter 4.2.11 Rank Difference Test, pp. 21 http://www.toolkit.net.au/Tools/TREND/documentation Kundzewicz, Z.W. and Robson, A., 2000 Detecting Trend and Other Changes in Hydrological Data. World Climate Program - Water, WMO/UNESCO, WCDMP-45, WMO/TD 1013, Geneva, 157 pp. Grayson, R.B., Argent, R.M., Nathan, R.J., McMahon, T.A. and Mein, R., 1996 Hydrological Recipes: Estimation Techniques in Australian Hydrology. Cooperative Research Centre for Catchment Hydrology, Australia, 125 pp.

References

Chiew F. and Siriwardena L., 2005 CRC for Catchment Hydrology Trend 1.0.2 User Guide, chapter 4.2.11 Rank Difference Test, pp. 21 http://www.toolkit.net.au/Tools/TREND/documentation

Kundzewicz, Z.W. and Robson, A., 2000 Detecting Trend and Other Changes in Hydrological Data. World Climate Program - Water, WMO/UNESCO, WCDMP-45, WMO/TD 1013, Geneva, 157 pp.

Grayson, R.B., Argent, R.M., Nathan, R.J., McMahon, T.A. and Mein, R., 1996 Hydrological Recipes: Estimation Techniques in Australian Hydrology. Cooperative Research Centre for Catchment Hydrology, Australia, 125 pp.

Examples

x=c(681,3661,8625,2475,573,2794,10190,5143,4139,8945,7295,19883,12119,8772,
8848,16309,16254,2303,7671,3985,
13742,5333,4859,12381,12137,6075,4669,378,7507,3891,13046,12954,2445,14759,
20200,16331,6922,6739,11629,
7351,2445,9960,10,11786,10214,11216,8393,10005,6896,11632)
R <- MedianCrossingTest(x)
plot(1941:1989,R,type='b',pch=15)