Generating Patient Data

Hi, 

Check if this works:
?set.seed(495)
?dat <- data.frame(ID=sample(1:10,20,replace=TRUE), Disease=sample(LETTERS[1:6], 20, replace=TRUE) )
subset(melt(table(dat)[rowSums(!!table(dat))>1,]), !!value,select=1:2)
?? ID Disease
1?? 2?????? A
3?? 4?????? A
4?? 6?????? A
6? 10?????? A
8?? 3?????? B
15? 4?????? C
16? 6?????? C
20? 3?????? D
22? 6?????? D
24 10?????? D
26? 3?????? E
27? 4?????? E
29? 7?????? E
31? 2?????? F
33? 4?????? F
35? 7?????? F
A.K.

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?

Regards
Abhinaba Roy

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