$`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
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