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How to extract edges values as a data frame? #37
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I can extract it this way |
Hi You can indeed use the attributes. Alternatively, you can use the function Its on the to-do list to make these functions clearer and documented. |
@gertjanssenswillen thanks for the information on Are there some examples of how can I write the FUN function so that the performance metrics are calculated based on business hours in a day (8 hours) instead of the default 24 hours window? |
@lejarx not straigthforwardly at the moment. How would such a calculation work for you, ideally?
Certainly something we can add, but let's take a minute to get the idea right. |
@gertjanssenswillen, let me know if we can create a new thread on this time calculation. It's good you ask. It's probably more complex due to the possibility to pause a task (i.e. pending external information), and different business time zones, among others. But yes, I think for a start, we can assume a blanket rule of business hours from 9 to 5 based on only one timezone. |
Hi,
First of all, thank you so much for this wonderful package, I really hope to use only this package for process mining analysis, even though there're other tools out there. But as an R user, I definitely want to give bupaR a try first.
I would need some help with extracting values from different edges into a tibble.
For example, in from the screenshot, Open to Pending User Info is 46.44 hours, Work in Progress to Closed is 1.28 hours.
Output would be:
From | To | Value
Open | Pending User Info | 46.44
Work in Progress | Closed | 1.28
Thank you
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