Dear,

You have to store your data as a Time-Series (ts), first.?To define a column of data as ts, you may use this:

library(timeSeries)Nile <- read.csv(file.choose(), header=F)#If your data is monthly, you may define the frequency as 12, for annual ts set freq. as 1.

#If your data starts from for e.g., 1990, then:NileTS <- ts(Nile, frequency=1, start=c(1990,1))#To plot the time seriesplot.ts(NileTS)

Morteza

?

On Saturday, June 18, 2016 3:47 AM, lily li wrote:

Dear R users,

Can anyone help me with mann-kendall trend test? I tried to use the newest

packages 'trend', and the function mk.test, but had problems in applying

the input data.

For example, res <- mk.test(Nile), Nile is a time-series data. But when I

use my dataset, with one column which is a time-series data, it says

"error: input must be ts object". How to do this? Thanks for your help.

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