Hi Jeff,
My question is not related with SQL.
I have all the data available in a csv file.
I am looking for R algorithm where can specify a time period and then R
essentially uses this time period as a sliding window for all the event-time
stamps and gives
a significant distribution of occ
I think (no promises) roll.apply() from the zoo package with sum can count
occurrences in whatever time period. Then use a logical test to identify
sufficiently active periods.
Hope this helps,
Michael Weylandt
On Sep 7, 2011, at 4:07 PM, Vineet Shukla wrote:
> Hi,
>
> Premises: I have a d
You could phrase this in most dialects of SQL, but you don't say what kind of
database you are using and this is not a SQL help list.
You could also look at the rollapply function in the zoo package.
---
Jeff Newmiller The ..
Hi,
Premises: I have a database which contain the list of events and their time
stamps (This is a Unix time stamps)
What I want to do : I want know how much is the maximum occurrence of this
in any a time period of 7 days or does a event occur es more than "N" (say
5) times in a period of 7 days
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