Hello,

I have a dataset with information of abuse (variable name: abused) at work by age and sex (variables name "dvage" and "sex") for several waves.
Can you please help me with the code to count the number of individuals that reported being abused (abuses==1) with less than 18 years old?
I send an exampl eof the dataset below.
Thank you very much in advance.


Code:
* Example generated by -dataex-. For more info, type help dataex
clear
input long pidp byte sex int dvage float(wave abused)
 477155327 1 70 3 0
 408120371 1 47 4 0
 952728291 1 50 2 0
 952728967 1 75 4 0
 343381645 1 38 2 0
 816659611 1 74 2 0
1565129487 1 54 4 0
 340718767 1 43 3 0
 952726251 1 61 1 0
1088221691 1 48 2 0
 749690491 1 16 3 0
1088228495 1 44 1 0
1156394407 1 78 2 0
1292607247 1 47 4 0
 612569167 1 60 2 0
 137317173 1 31 2 0
 952719447 1 59 1 0
 408946567 1 42 2 0
 413725726 1 17 2 0
 138998193 1 34 3 0
 963084050 1 38 3 0
 952731691 1 52 4 0
 952716055 1 71 4 0
1564836407 1 39 4 0
 953429371 1 37 3 0
 818188929 1 84 4 0
1371471650 1 58 4 1
 340312807 1 44 4 0
 639667845 1 63 1 0
 544046251 1 44 2 0
 693950209 1 84 2 0
 435491733 1 22 5 0
 340271327 1 56 5 0
 137936647 1 49 1 0
 952714695 1 18 2 0
 886142699 1 54 1 1
1649673370 1 17 3 0
 544493685 1 69 1 0
 748222371 1 78 4 0
 428623049 1 62 2 0
 274429659 1 25 3 0
 273864571 1 46 4 1
 341991725 1 77 5 0
 816115607 1 75 5 0
 952709927 1 45 4 0
 844311805 1 44 2 0
 952709927 1 41 2 0
 613173687 1 58 2 0
1633304255 1 26 1 0
 895818570 1 18 4 0
 680897611 1 60 3 0
1088057131 1 73 4 0
1021501447 1 38 3 0
1496310091 1 56 2 0
 693677525 1 61 1 0
1088896247 1 35 1 0
1088410047 1 47 3 0
 952705847 1 37 3 0
 953328731 1 58 2 0
 895859250 1 25 4 0
 204301251 1 53 3 0
1224193811 1 45 1 0
  95333965 1 56 1 0
 749812885 1 59 2 0
 952705171 1 30 2 0
  68378103 1 35 3 0
 952734411 1 49 5 0
 204626287 1 80 3 0
 682097809 1 42 1 0
1225198171 1 54 3 0
 480297814 1 29 5 0
 612361767 1 68 3 1
 817125407 1 60 5 0
 408161175 1 26 2 0
 775770525 1 59 1 0
 836480937 1 20 4 0
 408627651 1 47 1 0
1633122019 1 19 2 0
 952699735 1 30 5 0
 952735775 1 31 1 0
 545813571 1 43 1 0
 408877205 1 70 2 0
 776326085 1 62 2 0
 753712140 1 25 5 0
 952699731 1 49 2 0
 204240727 1 74 5 0
 885030899 1 19 3 0
 749312411 1 40 2 0
 748953367 1 57 2 0
 748555571 1 31 2 0
 952738487 1 58 2 0
 408750051 1 34 2 0
 748127847 1 32 5 1
1020820091 1 29 4 0
 681106375 1 28 5 0
1088422287 1 75 1 0
 952745287 1 35 2 0
1582645690 1 28 5 0
 817293371 1 51 5 0
 816728291 1 73 2 0
end
label values sex c_sex
label def c_sex 1 "male", modify
label values dvage c_dvage