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.
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
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