Hey all i'm pretty new to R, but i'm trying to perform a Mann-Kendall test on tree cover loss data to determine any significant trends.
My initial data frame looks somethings like this:
Install the "Kendall" package and attach it to current session
install.packages("Kendall")
require(Kendall)
Read the data & view it
AQloss <- read.csv(file = "Data/Location", header = TRUE)
Converts dataframe into a time-series using 1,2,3... as Time Index.
AQloss <- read.table(text = Lines, header = TRUE)
z <- read.zoo(AQloss, format = "%Y")
zz <- z
time(zz) <- seq_along(time(zz))
as.ts(zz)
Apply the Mann-Kendall test
MannKendall(zz)
I pieced this together from other questions on here and it seems to work when I only have one column (ie location) with forest loss data, but not with multiple columns of forest loss data.
Any tips would be helpful thanks!