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]]
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>
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--
David Winsemius
Alameda, CA, USA
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