Dear R Community:
I am working on a public health early warning system, and
I see that the qcc package allows for CUSUM and other statistical quality tests
but I am not sure if my project is a good match for qcc functions as written.
Any advice you may have is very much appreciated.
I have four years worth of daily counts of emergency room admissions for
different conditions (e.g. respiratory, neurologic, etc) from several local
hospitals. the data looks like this...
DAY 1
Respiratory Neuro ...
Hospital A: 10 12
. . .
. . .
Hospital F: 7 14
DAY 2 Respiratory Neuro ...
Hospital A: 10 12
. . .
. . .
Hospital F: 7 14 ...
etc.,
and my goal is to do a kind of multivariate quality control test (without
fitting a GLM), that would run each day after the data is updated and be able
to answer the question:
"Has there been a significant variation in the central tendency of the data?"
An analogous problem would be detecting the early signs of a shift in global
trading patterns by examining stock market indexes in different countries
around the world, updating and testing the data each business day.
Thank you,
Alexis Diamond
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