Monotonic trend analysis

#1
Hello,

I am trying to find out how to do a non-parametric Mann-Kendall trend test to detect monotonic trends.

here is some examples

Years: 2014, 2015,2016, 2017
X events: 43 (44.8%), 68 (42.5%), 55 (40.7%), 16 (19.8)
Y events: 51(53.1%), 87 (54.4%), 75 (55.6%), 64 (79.0%)
Z events: 1 (1%), 4 (2.5%), 4 (3.0%), 0
K events: 0, 1 (0.6%), 0, 1 (1.2%)

Thanks
 

hlsmith

Less is more. Stay pure. Stay poor.
#2
I would imagine if the results are discrete counts the test should be non-parametric. Not familiar with the test and I find the presentation of your data somewhat confusing. Can you present it as a data frame?
 
#3
Thank you hlsmith

Thank you for your response. Yes the data is discrete, sorry if it was not clear. It

Years: 2014, 2015 2016 2017
X events: 43 68 55 16
Y events: 51 87 75 64
Z events: 1 4 4 0
K events: 0 1 0 1

So, basically I am trying to see if the trends in X events over the years was statically significant.

Hope it is a bit clear now.
Thanks
 

hlsmith

Less is more. Stay pure. Stay poor.
#4
I am happy to explore this a little but if you are interested in 'X events' why are you providing the other information? Are you trying to correlate to it or adjust for it?