Hello, I'm not sure what you mean by a "dataset containing separate no. of column and row". R doesn't worry about this. This new problem looks the same as the first one posted.

Read the data from a file into a table:

> data test.output test.output

I think this is one of those cases where the solution very much depends on what you want to do with the data. Reading the data into R is easy enough. Note, I have removed the space from your file name and deleted the "years" label so I can use a feature of R to assign the column labels:

> data data.ts

Thanks Sir for your suggestion. I want to perform modified Mann-Kendall trend test (Yue-Pilon's 2002) using 'zyp' package in 'R'. I have encountered some problem after importing data in R Console. e.g. (1+metadata.cols)....

Hello Suman,

It's difficult to tell exactly what you require. Posting the R commands and output would help.

However, I've just had a play with the zyp package as I haven't used it before. After importing the data as I posted earlier, I used this command:

> test.output

Dear Mr. Whyte,

Bravo!!! Lastly I found it what I actually meant. Many Many thanks for your assistance. Hope I can fetch you in future.

Dear Whyte,

How can I fix "metadata.cols" in another dataset containing separate no. of column and row. Is there any function. Kindly specify. I attach a sample dataset also.

Hello, I'm not sure what you mean by a "dataset containing separate no. of column and row". R doesn't worry about this. This new problem looks the same as the first one posted.

Read the data from a file into a table:

> data test.output test.output

Thank you very much Mr.Whyte. Now I can understood the functioning of R.

you can use read.csv("filename.csv", header=T)

use as.xts

Good question!