[R] Generating Patient Data
David Winsemius
dwinsemius at comcast.net
Tue Jul 1 21:18:02 CEST 2014
On Jun 25, 2014, at 1:49 PM, David Winsemius wrote:
>
> On Jun 24, 2014, at 11:18 PM, Abhinaba Roy wrote:
>
>> Hi David,
>>
>> I was thinking something like this:
>>
>> ID Disease
>> 1 A
>> 2 B
>> 3 A
>> 1 C
>> 2 D
>> 5 A
>> 4 B
>> 3 D
>> 2 A
>> .. ..
>>
>> How can this be done?
>
> do.call(rbind, lapply( 1:20, function(pt) {
> data.frame( patient=pt,
> disease= sample( c('A','B','C','D','E','F'), pmin(2+rpois(1, 2), 6)) )}) )
If you were doing this repeatedly I suppose you might get time efficiency by the rpois vector as a single item of the same length as your PatientID's
>
> --
> David.
>>
>>
>> On Wed, Jun 25, 2014 at 11:34 AM, David Winsemius <dwinsemius at comcast.net> wrote:
>>
>> On Jun 24, 2014, at 10:14 PM, Abhinaba Roy wrote:
>>
>>> Dear R helpers,
>>>
>>> I want to generate data for say 1000 patients (i.e., 1000 unique IDs)
>>> having suffered from various diseases in the past (say diseases
>>> A,B,C,D,E,F). The only condition imposed is that each patient should've
>>> suffered from *atleast* two diseases. So my data frame will have two
>>> columns 'ID' and 'Disease'.
>>>
>>> I want to do a basket analysis with this data, where ID will be the
>>> identifier and we will establish rules based on the 'Disease' column.
>>>
>>> How can I generate this type of data in R?
>>>
>>
>> Perhaps something along these lines for 20 cases:
>>
>>> data.frame(patient=1:20, disease = sapply(pmin(2+rpois(20, 2), 6), function(n) paste0( sample( c('A','B','C','D','E','F'), n), collapse="+" ) )
>> + )
>> patient disease
>> 1 1 F+D
>> 2 2 F+A+D+E
>> 3 3 F+D+C+E
>> 4 4 B+D+C+A
>> 5 5 D+A+F+C
>> 6 6 E+A+D
>> 7 7 E+F+B+C+A+D
>> 8 8 A+B+C+D+E
>> 9 9 B+E+C+F
>> 10 10 C+A
>> 11 11 B+A+D+E+C+F
>> 12 12 B+C
>> 13 13 A+D+B+E
>> 14 14 D+C+E+F+B+A
>> 15 15 C+F+D+E+A
>> 16 16 A+C+B
>> 17 17 C+D+B+E
>> 18 18 A+B
>> 19 19 C+B+D+E+F
>> 20 20 D+C+F
>>
>>> --
>>> Regards
>>> Abhinaba Roy
>>>
>>> [[alternative HTML version deleted]]
>>
>> You should read the Posting Guide and learn to post in HTML.
>>>
>>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>
>>
>> --
>> David Winsemius
>> Alameda, CA, USA
>>
>>
>>
>>
>> --
>> Regards
>> Abhinaba Roy
>> Statistician
>> Radix Analytics Pvt. Ltd
>> Ahmedabad
>>
>
> David Winsemius
> Alameda, CA, USA
>
> ______________________________________________
> R-help at 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
Alameda, CA, USA
More information about the R-help
mailing list