Hello Chris,
Thanks. This is not as straight forward as it seems.
Given an index release date, I have dates of prior and subsequent
imprisonment, offending that results in re-incarceration and hospital
admission dates, pre and post.
There are some additional complexities, such as people released
Hello David,
Many thanks - this does exactly what I want and it lets me see whether the
clusters make sense in terms of the patetrn of values & where they join a
cluster.
Regards
Bob
> Something like this?
>
>> split(FS1, hcli8)
> $`1`
>X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12
> 1 1 1 0
David,
Thanks. When I am back at work I will try to find out some specifics
regarding the original data base and how the reports are generated. The
differencs are not apparent via manual inspection.
I will look at the csv file in an editor as well and look into xlsReadWrite.
I agree EXCEL format
Brian,
Thanks. My response to David follows. I should add that this problem has
never occurred previously as far as I know (I have now checked the
previous report I was sent):
Hello David,
Thanks for your e-mail. The data was a report derived from a statewide
database, saved in EXCEL format, so
Hello David,
Thanks for your e-mail. The data was a report derived from a statewide
database, saved in EXCEL format, so the usual issue of the vagaries of
human data entry variation wasn't the issue as the data was an automated
report, which is run every three months. I would not have even noticed
I have a frustrating issue which I am hoping someone may have a suggestion
about.
I am running XP and R 2.12.0 and saved an EXCEL file that I was sent as a
csv file.
The initial code I ran follows.
dec <- read.csv("g://FMH/FO30122010.csv",header=T)
dec.open <- subset (dec, Status == "Open")
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