I collapsed my variables but I want to keep the original labels while keeping the "mean" on the variable names.
-collapse vb_1 vb_2 vb_3, by( country_name)-
-collapse vb_1 vb_2 vb_3, by( country_name)-
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input str30 country_name double(vb_1 vb_2 vb_3) "Algeria" 6.914386526 31.423809597142867 28.671428680952378 "Angola" 4.021512833166667 20.880952290476188 52.87619055000001 "Benin" 17.292362279350005 7.442857242761906 11.580952304047617 "Botswana" 6.317734659809524 12.976190476142861 23.35238084333333 "Burkina Faso" 11.153648083095238 2.842857116809524 5.514285655190478 "Burundi" 10.712366176904762 .9333333201904762 4.428571473904761 "Cabo Verde" . 1.190476213333333 15.504762058571426 "Cameroon" 16.2278944605 7.071428548714285 10.26190480704762 "Central African Republic" 6.683741986800001 .9238095055238096 7.490476199571429 "Chad" 5.004593229285713 .7428571468571429 2.947619052190476 "Comoros" . .5238095295238094 7.190476190571429 "Congo, Dem. Rep." 16.63919887066667 1.904761899142857 9.500000000000002 "Congo, Rep." 4.965421424047618 27.480952579999997 24.40952355619047 "Cote d'Ivoire" 14.6325414675 .7999999862857143 7.542857170142857 "Djibouti" 2.6505125769166664 31.36666661190476 17.566666467619047 "Egypt, Arab Rep." 17.470223347619047 6.7761905080952385 26.65238089809524 "Equatorial Guinea" 11.922694508454548 4.619047607714284 24.342857179000003 "Eritrea" 8.593188423928572 .9714285645714286 11.552381060952381 "Ethiopia" 5.179430505666666 10.766666594142855 11.99047617685714 "Gabon" 3.9761472838000005 4.366666646190477 23.4904762447619 "Gambia, The" 5.738909381923078 1.9857142652857145 15.700000036238093 "Ghana" 8.379223804333332 12.871428625714284 14.828571365238096 "Guinea" 4.6514094998 1.1238095306666667 9.919047537523808 "Guinea-Bissau" 9.6552097125 .9619047641904762 9.033333301523808 "Kenya" 12.121018557619047 2.7523809276190474 11.666666576190474 "Lesotho" 17.307661698428568 15.847619101857143 16.276190530523806 "Liberia" 4.7200937698 3.8333333618095233 11.452380906952381 "Libya" 4.675274085428571 23.180952344761902 25.96666654 "Madagascar" 12.809202575384615 3.876190469428571 8.128571442095238 "Malawi" 12.235083278095233 1.0761904944761906 7.9952380544285715 "Mali" . 13.300000009047618 15.895238285238095 "Mauritania" 9.621215310952382 1.3761904807619048 11.800000054285713 "Mauritius" 19.156800024761903 27.123809633809525 33.32857086428572 "Morocco" 18.594831523333333 18.723809469523808 20.39047613619048 "Mozambique" 13.53315958314286 .28095239052380955 7.8095238322857155 "Namibia" 12.530266139666667 6.942857197285713 19.923809324761905 "Niger" . 23.11904752857143 9.171428634857142 "Nigeria" 5.200190875761906 13.061904725619048 12.190476190523812 "Norway" 9.27235620242857 8.271428653047618 32.59047635380952 "Rwanda" 6.306928253166667 1.123809522095238 8.519047555619048 "Sao Tome and Principe" 7.939002052999999 4.685714278999999 21.742857070476187 "Senegal" 15.161831050526315 8.461904798190474 22.842856817142852 "Seychelles" 13.707101198526319 . . "Sierra Leone" 3.0255933534761903 2.4571428751904762 10.73809532857143 "Somalia" . .8999999788571429 6.309523809476188 "South Africa" 16.64539160428571 11.842857133809522 34.042857214761895 "South Sudan" . . . "Sudan" 7.3898895607499995 30.352381115238092 16.533333279047618 "Tanzania" 7.86577079509524 2.2428571496666665 6.585714249238096 "Togo" 7.746418947095239 5.819047609857143 10.857142902380952 "Tunisia" 18.00225670333334 36.290475935238085 27.214285714285708 "Uganda" 8.642488205238095 4.723809560190476 9.785714285476193 "Zambia" 9.780431086 3.104761907095238 12.385714213285713 "Zimbabwe" 14.250724051809524 4.028571401333333 15.447618893809524 end
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