Hello,
Hope that someone could help me plotting longitudinal data below:
7213 3333330001 0.8300 13.05.09 1
1 3333330001 0.8700 09.02.05 NULL
4797 3333330001 0.7700 21.03.07 NULL
2399 3333330001 0.7800 12.04.06 NULL
2400 3333330002 NULL 27.03.06 NULL
7230 3333330002 0.8200 14.05.09 0
2 3333330002 0.8400 09.02.05 NULL
4798 3333330002 0.8700 20.03.07 0
4799 3333330003 0.9000 20.03.07 13
2401 3333330003 0.9300 27.03.06 16
3 3333330003 0.8400 10.02.05 NULL
7233 3333330003 NULL 14.05.09 1
4 3333330004 0.7200 10.02.05 NULL
4800 3333330004 0.8900 19.03.07 22
2402 3333330004 0.7300 29.03.06 27
7258 3333330004 0.7700 18.05.09 1
The second column is a patient_id, the third is the value I want to
plot against the fourth which is the date.
First I 'aggregate' the patient_ids:
id<-unique(dat$patient_id)
Then I try (and fail) to create a loop, that is supposed to plot the data:
for(i in 1:8480){patient_id==id[i]plot(date,value)}
What might be wrong?
And how could I only plot eg quintiles for the ones that go down fastest?
Thanks,
Jukka
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