Thanks for all your help, that has worked a treat. To answer your questions, I
want to include the zero rows because I am going to analyse using mixed models
(with dummies for day of week, location etc.) and I thought it was necessary to
include a complete list of time variables, but now I'm wondering if it is
necessary. As for the empty rows, the database is generated automatically by
the incidents reporting system and is a bit of a mess, so I want to make sure
that the code doesn't stumble over such things.
Thanks again all!
On 2 Jul 2010, at 17:14, David Winsemius <dwinsem...@comcast.net> wrote:
>
> On Jul 2, 2010, at 11:55 AM, Petr PIKAL wrote:
>
>> Hi
>>
>> did you try aggregate?
>>
>>> aggregate(data[, 5:8],list(data$Date), sum, na.rm=T)
>> Group.1 verbal self.harm violence_objects violence
>> 1 0 0 0 0
>> 2 01/04/07 25 15 3 9
>> 3 02/04/07 24 6 8 13
>> 4 03/04/07 17 13 0 10
>>> aggregate(data[, 5:8],list(data$Location,data$Date), sum, na.rm=T)
>
> That address his A) request:
>
> Here is the application of aggregate to his B) request (I think):
>
> # Not e that Date is not of class Date but is rather a factor that includes
> "" as a level.
>
> > aggregate(series[, 5:8],list(series$Date, series$Location), sum, na.rm=T)
> Group.1 Group.2 verbal self.harm violence_objects violence
> 1 0 0 0 0
> 2 A 0 0 0 0
> 3 01/04/07 A 7 1 0 3
> 4 02/04/07 A 8 2 0 1
> 5 03/04/07 A 0 0 0 2
> 6 B 0 0 0 0
> 7 01/04/07 B 3 2 0 1
> 8 02/04/07 B 4 2 0 0
> 9 03/04/07 B 4 0 0 3
> 10 C 0 0 0 0
> 11 01/04/07 C 4 2 3 2
> 12 02/04/07 C 0 0 4 2
> 13 03/04/07 C 1 1 0 5
> 14 D 0 0 0 0
> 15 01/04/07 D 7 6 0 3
> 16 02/04/07 D 0 0 0 9
> 17 03/04/07 D 4 11 0 0
> 18 E 0 0 0 0
> 19 01/04/07 E 4 3 0 0
> 20 02/04/07 E 4 0 4 0
> 21 03/04/07 E 8 1 0 0
> 22 F 0 0 0 0
> 23 01/04/07 F 0 1 0 0
> 24 02/04/07 F 8 2 0 1
>
> So perhaps an output with less extraneous input would be better:
>
> > with(series[series$Date != "", ],
> aggregate(list(verbal=verbal, self.harm=self.harm,
> viol_obj=violence_objects, violence=violence),
> list(Date, Location),
> sum, na.rm=T)
> )
>
> Group.1 Group.2 verbal self.harm viol_obj violence
> 1 01/04/07 A 7 1 0 3
> 2 02/04/07 A 8 2 0 1
> 3 03/04/07 A 0 0 0 2
> 4 01/04/07 B 3 2 0 1
> 5 02/04/07 B 4 2 0 0
> 6 03/04/07 B 4 0 0 3
> 7 01/04/07 C 4 2 3 2
> 8 02/04/07 C 0 0 4 2
> 9 03/04/07 C 1 1 0 5
> 10 01/04/07 D 7 6 0 3
> 11 02/04/07 D 0 0 0 9
> 12 03/04/07 D 4 11 0 0
> 13 01/04/07 E 4 3 0 0
> 14 02/04/07 E 4 0 4 0
> 15 03/04/07 E 8 1 0 0
> 16 01/04/07 F 0 1 0 0
> 17 02/04/07 F 8 2 0 1
>>
>> BTW, why do you have empty rows?
>>
>> Regards
>> Petr
>>
>>
>>
>>
>>> Hello-
>>>
>>> I have a dataset which basically looks like this:
>>>
>>> Location Sex Date Time Verbal Self harm
>>> Violence_objects Violence
>>> A 1 1-4-2007 1800 3 0
>>> 1 3
>>> A 1 1-4-2007 1230 2 1
>>> 2 4
>>> D 2 2-4-2007 1100 0 4
>>> 0 0
>>> ...
>>>
>>> I've put a dput of the first section of the data at the end of this
>>> email. Basically I have these data for several days across all of the
>>> dates, so 2 or more on 1-4-2007, 2 or more on 2-4-2007, and so on
>>> until 31-12-2009. The last four variables which you can see at the end
>>> of the email are my dependent variables, they are different types of
>>> violent and self harming behaviour shown by patients in a psychiatric
>>> hospital.
>>>
>>> What I want to do is:
>>>
>>> A) sum each of the dependent variables for each of the dates (so e.g.
>>> in the example above for 1-4-2007 it would be 3+2=5, 0+1=1, 1+2=3, and
>>> 3+4=7 for each of the variables)
>>>
>>> B) do this sum, but only in each location this time (location is the
>>> first variable)- so the sum for 1-4-2007 in location A, sum for
>>> 1-4-2007 in location B, and so on and so on. Because this is divided
>>> across locations, some dates will have no data going into them and
>>> will return 0 sums. Crucially I still want these dates to appear- so
>>> e.g. 21-5-2008 would appear as 0 0 0 0, then 22-5-2008 might have 1 2
>>> 0 0, then 23-5-2008 0 0 0 0 again, and etc.
>>>
>>> I've had several abortive attempts and done some Googling but have got
>>> nowhere. I'd greatly appreciate any advice.
>>>
>>> Many thanks,
>>> Chris Beeley
>>> (Institute of Mental Health, UK)
>>>
>>>
>>> structure(list(Location = structure(c(1L, 2L, 2L, 1L, 3L, 5L,
>>> 5L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 4L, 4L, 1L, 5L, 5L, 5L, 5L, 6L,
>>> 1L, 2L, 3L, 5L, 6L, 6L, 6L, 7L, 7L, 5L, 5L, 4L, 4L, 4L, 3L, 3L,
>>> 3L, 2L, 2L, 2L, 2L, 7L, 7L, 7L, 6L, 5L, 4L, 4L, 6L, 5L, 2L, 2L,
>>> 3L, 3L, 3L, 3L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 5L, 5L, 3L, 3L, 4L,
>>> 4L, 4L, 4L), .Label = c("", "A", "B", "C", "D", "E", "F"), class =
>> "factor"),
>>> Sex = c(NA, 1L, NA, NA, NA, 1L, 2L, NA, NA, 2L, 2L, NA, 2L,
>>> 2L, 1L, 1L, NA, 2L, 2L, 2L, 1L, NA, NA, 1L, 1L, 1L, 1L, 2L,
>>> 1L, 2L, NA, 1L, 1L, NA, 1L, NA, NA, 2L, 1L, 1L, 2L, 2L, 2L,
>>> 2L, 1L, 2L, 2L, 2L, 2L, NA, 1L, 2L, NA, 1L, 1L, NA, 1L, NA,
>>> 1L, 2L, NA, 1L, 1L, NA, 1L, 1L, 1L, NA, 2L, 2L, 1L, 2L, 1L
>>> ), Date = structure(c(1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L,
>>> 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L,
>>> 2L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 3L, 3L,
>>> 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 4L, 1L, 4L,
>>> 4L, 1L, 4L, 1L, 4L, 4L, 1L, 4L, 4L, 1L, 4L, 4L, 4L, 1L, 4L,
>>> 4L, 4L, 4L, 4L), .Label = c("", "01/04/07", "02/04/07", "03/04/07"
>>> ), class = "factor"), Time = structure(c(1L, 28L, 1L, 1L,
>>> 1L, 1L, 20L, 1L, 1L, 37L, 37L, 2L, 13L, 31L, 1L, 17L, 1L,
>>> 34L, 38L, 39L, 23L, 1L, 1L, 24L, 14L, 16L, 1L, 33L, 30L,
>>> 10L, 1L, 6L, 8L, 1L, 26L, 1L, 1L, 13L, 3L, 4L, 1L, 1L, 35L,
>>> 36L, 25L, 9L, 11L, 5L, 22L, 1L, 10L, 30L, 1L, 19L, 15L, 1L,
>>> 29L, 1L, 27L, 10L, 2L, 21L, 18L, 1L, 23L, 32L, 36L, 1L, 30L,
>>> 7L, 12L, 1L, 15L), .Label = c("", " ", "02:24:00", "03:44:00",
>>> "04:30:00", "07:00:00", "08:35:00", "09:20:00", "09:30:00",
>>> "10:00:00", "10:15:00", "10:45:00", "11:00:00", "11:20:00",
>>> "11:30:00", "11:35:00", "11:50:00", "12:00:00", "12:25:00",
>>> "12:30:00", "12:45:00", "15:00:00", "15:15:00", "15:30:00",
>>> "15:35:00", "17:15:00", "17:50:00", "18:00:00", "19:00:00",
>>> "19:30:00", "19:50:00", "20:00:00", "20:30:00", "20:55:00",
>>> "22:15:00", "22:30:00", "22:35:00", "22:40:00", "23:10:00"
>>> ), class = "factor"), verbal = c(NA, 3L, NA, NA, NA, 3L,
>>> 0L, NA, NA, 0L, 0L, NA, 0L, 0L, 0L, 4L, NA, 0L, 0L, 0L, 4L,
>>> NA, NA, 4L, 3L, 0L, 4L, 0L, 0L, 0L, NA, 0L, 0L, NA, 0L, NA,
>>> NA, 4L, 0L, 4L, 0L, 0L, 4L, 1L, 4L, 3L, 0L, 0L, 0L, NA, 4L,
>>> 0L, NA, 0L, 3L, NA, 1L, NA, 0L, 3L, NA, 1L, 4L, NA, 4L, 0L,
>>> 0L, NA, 0L, 0L, 0L, 0L, 1L), self.harm = c(NA, 0L, NA, NA,
>>> NA, 0L, 0L, NA, NA, 0L, 1L, NA, 2L, 0L, 0L, 2L, NA, 2L, 0L,
>>> 2L, 0L, NA, NA, 0L, 0L, 2L, 0L, 1L, 2L, 1L, NA, 0L, 0L, NA,
>>> 0L, NA, NA, 0L, 2L, 0L, 1L, 1L, 0L, 2L, 0L, 0L, 0L, 0L, 0L,
>>> NA, 0L, 2L, NA, 0L, 0L, NA, 0L, NA, 4L, 0L, NA, 1L, 0L, NA,
>>> 1L, 3L, 1L, NA, 0L, 0L, 0L, 1L, 0L), violence_objects = c(NA,
>>> 0L, NA, NA, NA, 0L, 0L, NA, NA, 0L, 0L, NA, 0L, 0L, 0L, 3L,
>>> NA, 0L, 0L, 0L, 0L, NA, NA, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA,
>>> 0L, 0L, NA, 0L, NA, NA, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
>>> 4L, 0L, 4L, NA, 0L, 0L, NA, 0L, 0L, NA, 0L, NA, 0L, 0L, NA,
>>> 0L, 0L, NA, 0L, 0L, 0L, NA, 0L, 0L, 0L, 0L, 0L), violence = c(NA,
>>> 0L, NA, NA, NA, 0L, 1L, NA, NA, 3L, 0L, NA, 0L, 1L, 1L, 1L,
>>> NA, 1L, 1L, 0L, 0L, NA, NA, 0L, 0L, 0L, 0L, 0L, 0L, 0L, NA,
>>> 3L, 3L, NA, 2L, NA, NA, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L,
>>> 0L, 3L, 0L, NA, 0L, 0L, NA, 2L, 0L, NA, 0L, NA, 0L, 0L, NA,
>>> 0L, 0L, NA, 0L, 0L, 0L, NA, 3L, 3L, 2L, 0L, 0L)), .Names =
>> c("Location",
>>> "Sex", "Date", "Time", "verbal", "self.harm", "violence_objects",
>>> "violence"), class = "data.frame", row.names = c(NA, -73L))
>>>
>>> ______________________________________________
>>> R-help@r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> David Winsemius, MD
> West Hartford, CT
>
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