I have a dataset that looks like this:
Year ID Sex Age_end_of_year Count Age_group
2008 1 1 0 2 1
2008 1 1 1 1 1
2008 1 1 2 6 1
2008 1 2 0 2 1
2008 1 2 1 5 1
2008 1 2 2 6 1
2008 2 1 0 5 1
2008 2 1 1 4 1
2008 2 1 2 7 1
2008 2 2 0 2 1
2008 2 2 1 3 1
2008 2 2 2 2 1
.
.
.
2016 99 1 45 20 3
Sex (1 or 2), Age_end_of_year goes from 0-45, and Count can have any value 0-100. Age_group contains three categories (0-15yo, 16-30yo, 31-45yo). The dataset include well over 200k observations. I would like to keep the dataset in a long format for now, but I would like the ID to return only once per year, something like this:
Year ID Age_group_1_female Age_group_2_female Age_group_3_female Age_group_1_male ...
2008 1 8 7 9 4
2008 2 14 3 8 2
2008 3 1 2 10 1
2008 4 1 14 8 9
.
.
.
2016 99 4 2 4 9
In other words, I want to replace the Sex, Age_group and Count variables with single variables per the above example, while dropping the Age_end_of_year variable. The new variables should collapse the Count-data by sex and age_group. I've played around with aggregate, tried to transpose and restructure using the wizard but I can't get it to work. Any help appreciated!