Given two samples of arrival rate of a process (they should end up something like a Poisson distribution):
- One over a long period (something like several days)
- Another from a shorter period time (maybe 30 minutes)
How can I compare the shorter distribution to see if it varies significantly from the longer distribution? Ideally using an existing function in R?
I believe a Q-Q Plot is showing this visually, but I am looking for a single number that would represent how far the shorter sample is from the longer sample.
Also, perhaps better suited for another question. I am a bit curious about how I might say what amount of time would be a representative sample for the longer period of time.
For reference the longer period plot looks something like the following, but it might very somewhat as I decide which attributes I might want to filter out: