Hi there,
I am trying to reorganized my data sets so that it is easy for MARK to read
it.
Basically I have the encounter histories of 1837 butterflies
The data looks like this the first 4 columns are the occasions and the last
two code for male and female
> t1 t2 t3 t4 M F
> 1 0 0 0 1 0 male capture on time1 but not seen on time 2, 3
> and 4
> 1 0 0 0 1 0 male capture on time1 but not seen on time 2, 3
> and 4
> 1 0 0 0 0 1 female capture on time1 but not seen on times 2,
> 3 and 4
> 1 0 1 1 1 0 male captured on time 1, not seen on time 2,
> recaptured on time 3 and 4
> 1 0 1 1 1 0 female captured on time 1, not seen on time 2,
> recaptured on occasions 3 and 4
> 1 0 1 1 1 0 female captured on time 1, not seen on time 2,
> recaptured on occasions 3 and 4
> 1 0 1 1 1 0 female captured on time 1, not seen on time 2,
> recaptured on occasions 3 and 4
and I want to convert that into
>t1 t2 t3 t4 M F
> 1 0 0 0 2 1 Two males and 1 female captured on time1 but not
> seen on time 2, 3 and 4
> 1 0 1 1 1 3 One male and two females captured on time 1 and ,
> not seen on time 2, recaptured
on time 3 and 4
I tried to melt it using reshape, but I am getting odd results!
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