Dear all R-users: In my case the series is the annual number of dry spell with their length exceeding a given threshold representing extreme events frequency.
1 0 2 2 1 1 2 1 2 1 1 1 2 3 4 0 2 3 1 2 3 1 2 1 2 0 1 2 2 2 3 4 2 0 2 1 2 2 2 6 1 2 4 1 3 1 2 1 3 4 I have been using Mann-Kendall test to estimate the trend. The result gives slope of zero value but signicant p value (at 95% level).Since there are many ties in the data, I wonder Mann-Kendall is a appropriate approach to test trends. Is there other statistial method to deal with trend? Any suggestion is appreciated in advance Regards -- Wang Yi START Regional Center for Temperate East Asia(TEA), Institute of Atmospheric Physics(IAP), Chinese Academy of Sciences(CAS), Qijiahuozi Huayanli 40#, P.O.Box 9804, Beijing 100029,China Tel:13466795920 E-mail:wan...@tea.ac.cn ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.