Hallo all
I try to find a way how to compare set of waiting times during different
periods. I tried learn something from queueing theory and used also R
search. There is plenty of ways but I need to find the easiest and quite
simple.
Here is a list with actual waiting times.
ml -
I am not sure why you say that lapply(ml, mean) shows (incorrectly)
that the second year has a larger average; it is correct for the data:
lapply(ml, my.func)
$y1
Count MeanSD MinMedian 90% 95%
Max Sum
18.0 16.8 12.42980 4.0
Hallo Jim
Thank you and see within text.
jim holtman jholt...@gmail.com napsal dne 18.08.2011 14:09:11:
I am not sure why you say that lapply(ml, mean) shows (incorrectly)
that the second year has a larger average; it is correct for the data:
lapply(ml, my.func)
$y1
Count Mean
If those values represent response times in a system, then when I was
responsible for characterizing what the system would do from the
viewpoint of an SLA (service level agreement) with customers using the
system, we usually specified that 90% of the transactions would have
a response time of ---
Hi Jim
If those values represent response times in a system, then when I was
responsible for characterizing what the system would do from the
viewpoint of an SLA (service level agreement) with customers using the
system, we usually specified that 90% of the transactions would have
a
On Thu, Aug 18, 2011 at 10:12 AM, Petr PIKAL petr.pi...@precheza.cz wrote:
Hi Jim
If those values represent response times in a system, then when I was
responsible for characterizing what the system would do from the
viewpoint of an SLA (service level agreement) with customers using the
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