On 12-08-09 3:41 PM, Eric Kaufmann wrote:
I have a researcher who is running a large R job The job is currently on
3725 iterations. The total number of iterations is 27500. Is there a way to
kill this and recover the data that has been generated thus far?
Not likely, unless the process is writi
I have a researcher who is running a large R job The job is currently on
3725 iterations. The total number of iterations is 27500. Is there a way to
kill this and recover the data that has been generated thus far?
Thanks,
Eric
--
Eric Kaufmann | Application Support Analyst - Advanced Technolo
I have the following dataframe:
ad <- data.frame(dates, av, sn$SectorName)
colnames(ad) <- c("Date", "Value", "Tag")
which has data (rows 10 to 20, for example) as follows:
DateValue Tag
10 2008-01-16-0.20875Co
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