Hello-

A basic question which has nonetheless floored me entirely. I have a
dataset which looks like this:

Type ID   Date        Value
A     1   16/09/2020     8
A     1   23/09/2010    9
B     3   18/8/2010     7
B     1   13/5/2010     6

There are two Types, which correspond to different individuals in
different conditions, and loads of ID labels (1:50) corresponding to
the different individuals in each condition, and measurements at
different times (from 1 to 10 measurements) for each individual.

I want to perform the following operations:

1) Delete all individuals for whom only one measurement is available.
In the dataset above, you can see that I want to delete the row Type B
ID 3, and Type B ID 1, but without deleting the Type A ID 1 data
because there is more than one measurement for Type A ID 1 (but not
for Type B ID1)

2) Produce difference scores for each of the Dates, so each individual
(Type A ID1 and all the others for whom more than one measurement
exists) starts at Date "1" and goes up in integers according to how
many days have elapsed.

I just know there's some incredibly cunning R-ish way of doing this
but after many hours of fiddling I have had to admit defeat.

I would be very grateful for any words of advice.

Many thanks,
Chris Beeley,
Institute of Mental Health, UK

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