Hi, all
I am a new member to the community. I am assigned a task to perform recurrence analysis on our data. I never used JMP or did any recurrence analysis. So I will bring some stupid questions for sure.
The data we have are robots repair. We want to see repairs event pattern for the bots and I was told to use recurrence analysis (don't know why).
So we have around 15000 robots, I used the 'bot_id', 'accumulated_transactions', 'site', 'cost', 'bot_type' and 'component' columns. 'Site' includes different location where the robots work. 'cost' is the 0, 1 value ( 1 means a repair, and 0 means the last seen event of the bots). 'component' are different parts under repair. We want to see effect of sites, bot_type, and parts on mcf and repair pattern. I primarily use Log Linear NHPP model.
I have some concerns with the data. We have around 1000 loaner bots that travel around all sites. If I select 'site' column as 'Grouping' role in the analysis to see the MCF for different sites, does it affect the result? My understand is that each site will consider the loaner bot as an independent bot now. Should I exclude those like 1000 loaner bots if I want to 'Grouping' by 'site'?
The data I received have the 'cost' value as 0 at the last event for each site and bot. So if a bot worked in two sites, there will be two 0 values for this bot, each as the last event per site. Does this affect how JMP count active bots when calculate MCF value? My understanding is that 0 cost value means the end of the bot. If there are multiple 0 values for a bot, how is that handled?
I have other questions but want to stop now before this gets too long.
Appreciate you help.