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  1. Q

    Mann-Kendall interpretation. Working in R, "object 'y' not found"

    This is the result I got running Samp <- sapply(splitByHUCs, function(x) MannKendall(x$V3)) -- Region_1010001 Region_1010002 Region_1010003 Region_1010004 Region_1010005 Region_1020001 tau Kendall’s tau statistic 0.065700762...
  2. Q

    Mann-Kendall interpretation. Working in R, "object 'y' not found"

    No difference. I tried.
  3. Q

    Mann-Kendall interpretation. Working in R, "object 'y' not found"

    I am trying to run a Mann-Kendall over a group of files, to perform the MK on each one. This is precip data, for each area, over decades. I read the data into R, then create df "datalist". I bind all the files into one, and then split them by the name in the first column ("V1"). This all works...