It helps to have a bit more detail and some sample data. Have a look at
Reproducibility
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
and http://adv-r.had.co.nz/Reproducibility.html
for some ideas of how to pose a question on the list.
John Kane
Kingston ON Canada
> -----Original Message-----
> From: shah_suraj at hotmail.co.uk
> Sent: Fri, 24 Jul 2015 04:08:08 -0700 (PDT)
> To: r-help at r-project.org
> Subject: [R] apply kendall tau to a split data set
>
> $`19179222`
> Unique.ID Start.Year L1.Risk.Category
> Gross.amount.sum
> 17 19179222 2013 Execution, Delivery & Process Management
> 161212.1
> 18 19179222 2015 Execution, Delivery & Process Management
> 110880.0
>
> $`25182498`
> Unique.ID Start.Year L1.Risk.Category
> Gross.amount.sum
> 19 25182498 2014 Clients, Products & Business Practices
> 59384
> 20 25182498 2014 Execution, Delivery & Process Management
> 355000
> 21 25182498 2015 Execution, Delivery & Process Management
> 27720
>
> $`32506027`
> Unique.ID Start.Year L1.Risk.Category
> Gross.amount.sum
> 22 32506027 2003 Execution, Delivery & Process Management
> 3600000.0
> 23 32506027 2013 Execution, Delivery & Process Management
> 161212.1
> 24 32506027 2014 Clients, Products & Business Practices
> 14846.0
>
>
> Hi, I have split a data frame and output is as above.
>
> I would like to apply Kendall's tau to calculate correlations. For
> example,
> for the last Unique.ID 32506027, I want to create a time series for each
> L1
> risk category, and then calculate the correlation between each L1 risk
> category using the Kendall tau approach.
>
> Any help would be much appreciated.
>
> Thanks
> s
>
>
>
>
> --
> View this message in context:
>
http://r.789695.n4.nabble.com/apply-kendall-tau-to-a-split-data-set-tp4710303.html
> Sent from the R help mailing list archive at Nabble.com.
>
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