Hello,

I would like to have several histograms in the same picture with the answers (inapplicable, refusal, don´t know, yes, no) to the questions represented by the variables: i_aidhh, cg_scghqa, cg_scghqd, cg_scghqe. The answers would be separed by sex (female. male). I send an example of the dataset below.
Can you help me with this?
Thank you in advance.

​​​​​​* Example generated by -dataex-. For more info, type help dataex
clear
input long(pidp pid) byte i_sex int i_dvage byte(i_aidhh cg_scghqa cg_scghqd cg_scghqe)
683337457 113050585 2 16 2 2 3 2
1293998535 -8 1 16 2 4 2 2
749776179 -8 2 16 2 3 2 2
272167291 -8 1 16 2 -8 -8 -8
1031845850 -8 1 16 2 3 2 3
682492227 -8 1 16 2 1 1 1
682428973 123427789 1 16 2 2 2 3
612092499 -8 1 16 2 2 2 3
701148013 118047434 2 16 2 2 2 3
1292417539 -8 2 17 2 2 2 1
546315417 112553435 2 16 2 3 2 3
1225137655 -8 2 16 2 2 2 2
1293309015 -8 2 17 2 2 2 1
1443368130 -8 1 17 2 2 2 2
1089077815 -8 2 16 2 3 4 3
1565173695 -8 2 16 2 2 2 3
1293054011 -8 2 17 2 1 2 3
1428017015 -8 2 17 2 4 3 4
1565561979 -8 2 16 2 2 2 2
274023701 113393075 2 16 2 3 3 2
632753613 117671118 2 16 2 2 2 2
1496920063 -8 2 16 2 2 2 2
1293130179 -8 1 17 2 1 1 1
1156289695 -8 1 17 2 2 2 1
1021652415 -8 2 16 2 2 2 2
748175463 -8 2 16 2 3 4 4
818669693 124195539 2 16 2 2 2 3
1497033611 -8 2 17 2 2 2 2
1158289575 -8 1 16 2 2 2 2
1578286930 -8 1 16 2 2 2 1
89129665 107106965 2 16 2 2 2 2
885066255 -8 1 17 2 2 2 2
1496734419 -8 1 17 2 4 4 4
820043297 111214416 2 16 2 2 2 2
884242099 -8 2 16 2 3 2 3
1224120379 -8 2 16 2 2 2 2
816301935 -8 2 16 2 2 2 2
1428843899 -8 2 17 2 4 2 2
612794935 -8 2 16 2 2 2 1
1156923455 -8 2 16 2 3 3 3
409305619 -8 2 16 2 3 2 2
818423537 112571875 2 16 2 3 3 2
1429168935 -8 2 16 2 3 3 3
953001659 -8 2 16 2 4 3 3
682408579 -8 1 16 2 2 2 1
1632393055 -8 2 16 2 3 2 2
1089013903 -8 2 17 2 3 2 3
1564188375 -8 2 17 2 3 2 2
1632393059 -8 2 16 2 1 2 2
1361071019 -8 1 16 2 3 2 2
408257737 110343158 2 16 2 2 2 2
1157109775 -8 1 19 2 1 1 3
273068975 -8 2 18 2 2 3 3
436097621 119205149 1 19 1 2 2 2
1088206059 -8 2 21 2 2 2 2
1088997575 -8 2 20 2 -8 -8 -8
1022699623 -8 2 18 2 2 2 2
204301931 -8 2 17 2 2 2 2
1033260130 -8 1 19 2 2 3 3
816538575 -8 1 17 2 2 2 2
1020498459 -8 2 20 2 3 2 4
952265211 -8 2 20 2 2 2 2
682598979 -8 2 20 2 3 2 3
408102027 -8 2 18 2 4 3 3
204396455 -8 2 20 2 2 2 3
205146495 -8 2 18 2 3 3 3
612576655 -8 1 20 2 2 4 2
272478059 -8 2 20 2 3 2 2
476582095 -8 2 19 2 2 2 1
749782977 93371306 2 18 2 2 2 1
885302215 -8 1 18 2 2 1 2
748667779 -8 1 17 2 2 2 1
204571895 -8 2 20 2 2 2 3
1498097815 -8 2 21 2 -8 -8 -8
952273375 -8 2 20 2 2 3 3
816952699 -8 2 20 2 2 2 3
817278419 -8 1 18 2 3 3 3
544668455 -8 2 17 2 2 3 3
1564084335 -8 2 21 2 2 2 2
885069655 -8 1 18 2 2 2 2
544735783 -8 2 18 2 2 2 2
68197903 -8 1 19 2 2 2 2
1428017691 -8 1 18 2 2 2 2
478322891 -8 2 21 2 4 3 3
768997053 96847891 2 19 2 3 3 3
70718649 93620659 1 17 2 3 3 4
612367215 -8 2 21 2 3 3 3
272023815 -8 2 18 2 2 2 2
272807175 -8 1 18 2 3 2 3
1433331334 -8 2 19 2 3 3 4
1020317575 -8 1 18 2 3 2 3
1225441615 -8 2 17 2 2 2 3
892017404 -8 2 17 2 3 2 3
776221373 119314428 2 19 2 2 2 3
544280171 -8 1 19 2 2 2 2
884805815 -8 2 18 2 3 3 3
409305615 -8 2 17 2 -8 -8 -8
340329135 -8 2 20 2 3 2 3
68559659 -8 2 16 2 2 2 4
544785419 -8 1 20 2 2 3 2
end
label values pid pid
label def pid -8 "inapplicable", modify
label values i_sex i_sex
label def i_sex 1 "male", modify
label def i_sex 2 "female", modify
label values i_dvage i_dvage
label values i_aidhh i_aidhh
label def i_aidhh 1 "Yes", modify
label def i_aidhh 2 "No", modify
label values cg_scghqa cg_scghqa
label def cg_scghqa -8 "inapplicable", modify
label def cg_scghqa 1 "Better than usual", modify
label def cg_scghqa 2 "Same as usual", modify
label def cg_scghqa 3 "Less than usual", modify
label def cg_scghqa 4 "Much less than usual", modify
label values cg_scghqd cg_scghqd
label def cg_scghqd -8 "inapplicable", modify
label def cg_scghqd 1 "More so than usual", modify
label def cg_scghqd 2 "Same as usual", modify
label def cg_scghqd 3 "Less so than usual", modify
label def cg_scghqd 4 "Much less capable", modify
label values cg_scghqe cg_scghqe
label def cg_scghqe -8 "inapplicable", modify
label def cg_scghqe 1 "Not at all", modify
label def cg_scghqe 2 "No more than usual", modify
label def cg_scghqe 3 "Rather more than usual", modify
label def cg_scghqe 4 "Much more than usual", modify
[/CODE]
---------