compute.MK.stat: compute Mann-Kendall statistics

In mannkendall/R: MannKendall trends for geophysical time series

Description

This function computes Mann Kendall statistics for a given time series

Usage

compute.MK.stat(data, t.time, resolution, alpha.mk = 95, alpha.cl = 90)

Arguments

data	is the time series of the variable to be analysed
t.time	is the array of times expressed as a 6-column data.frame with year, month, day, hour, minute, second
resolution	the measurement resolution, i.e. delta value below which 2 measurements are considered equivalent. It is used to compute the number of ties
alpha.mk	confidence limit for Mk test in percentage. Default value is 95
alpha.cl	confidence limit for the confidence limits of the Sen's slope in percentage. Default value is set to 90

Value

a list named ‘output' containing a data.frame ('result') and 3 numerics ('S', 'vari', 'Z'). 'result' is a dataframe with 3 columns: 'slope', the estimate of the Sen’s slope (as % year^-1), 'UCL' and 'LCL' respectively the upper and the lower confidence limits of the slope (as % year^-1). 'S' is the value of the S statiscs, 'vari' is the Kendall variance, 'Z' is the resulting standard normal variable

Author(s)

Martine Collaud Coen ([e-mail]), MeteoSwiss (CH) and Alessandro Bigi ([e-mail]), University of Modena and Reggio Emilia (IT)

References

Collaud Coen, M., Andrews, E., Bigi, A., Romanens, G., Martucci, G., and Vuilleumier, L.: Effects of the prewhitening method, the time granularity and the time segmentation on the Mann-Kendall trend detection and the associated Sen's slope, Atmos. Meas. Tech., https://doi.org/10.5194/amt-2020-178, 2020.

mannkendall/R documentation built on Feb. 2, 2022, 7:31 p.m.