I have a data set where I look at number of events before and after a certain time-point. I want to show this in a before and after graph with different colors for each group. I came a long way using twoway pccapsym. However, many of the observations have the same number of events before and after and therefore lines are overlaping. I am looking for a way to visualize how many observations that are overlapping. I thought I might use frequency weight. But I can not figure out how to use it in a graph made by twoway pccapsym.
In this context, I can't figure out how to make variables that contains the weight information for before and after and add that information to a graph where markers (dots) and/or lines are weighted according to frequency
Small example of data set:
id | Group | before | after |
1 | 2 | 0 | 2 |
2 | 1 | 3 | 1 |
3 | 3 | 2 | 2 |
4 | 2 | 2 | 2 |
5 | 3 | 1 | 3 |
6 | 1 | 1 | 3 |
7 | 1 | 3 | 3 |
gen byte one = 1
gen byte two = 2
twoway (pccapsym before one after two if group == 1) (pccapsym before one after two if group == 2) (pccapsym before one after two if group == 3)
Array
I hope you can help me?
Thanx
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