two lowess curves within the same graph region

[Ethan Gaala]

I run the command below to a lowess curve for two of the indenpendent variables on the same graph, however, Stata only generates two separate graphs for me. I use Stata SE/17.
logit voted ldmission ldcatho i.gender age age2 education i.urbrur living_cond i.catholic_now i.protestant_now i.muslim_now religiosity lslave_region slave_region ldcity1800 lpopd_history ldcoast ldrail ldexplorer dexplorer_0 ldprint ldhospital ldbig30 i.Country i.Wave
predict voted_pred_mission, p

global y_all "voted_pred_mission"

foreach y of varlist voted_pred_mission{
cap noisily drop lowess*
local x: variable label `y'
lowess `y' ldcatho if ldcatho<5.2, nograph gen(lowess_`y') bwidth(0.5) adjust
gr twoway line lowess_`y' ldcatho if ldcatho<5.2 ///
, sort(ldcatho) color(blue) ///

cap noisily drop lowess*
local x: variable label `y'
lowess `y' ldmission if ldmission<5.2, nograph gen(lowess_`y') bwidth(0.5) adjust
gr twoway line lowess_`y' ldmission if ldmission<5.2 ///
, sort(ldmission) color(blue) ///
xtitle("Distance to Mission") ytitle("Probability of Voting") ///
graphregion(color(white))
gr export "bymissionvote.pdf", replace
}

* Example generated by -dataex-. For more info, type help dataex
clear
input byte gender float(age age2 education) byte(urbrur living_cond) float(catholic_now protestant_now muslim_now) long(Country Wave)
1 38 1444 2 2 3 0 0 0 15 1
2 44 1936 2 2 4 0 1 0 15 1
2 32 1024 4 2 2 0 1 0 15 1
1 35 1225 3 2 1 0 0 0 15 1
1 29  841 6 2 4 0 1 0 15 1
2 18  324 4 2 3 0 0 0 15 1
2 56 3136 5 2 4 1 0 0 15 1
1 35 1225 6 2 3 0 1 0 15 1
2 41 1681 3 2 4 0 1 0 15 2
1 63 3969 3 2 4 0 0 0 15 1
2 36 1296 4 2 2 0 0 0 15 1
1 46 2116 4 1 4 0 1 0 15 2
2 40 1600 3 2 2 0 0 0 15 2
2 63 3969 2 2 2 0 0 0 15 1
1 71 5041 0 2 4 0 0 0 15 1
2 36 1296 2 2 3 0 0 0 15 2
1 34 1156 4 2 4 0 0 0 15 1
1 36 1296 3 2 1 0 0 0 15 1
2 67 4489 4 2 2 0 1 0 15 1
2 21  441 4 1 3 0 1 0 15 1
2 40 1600 2 2 3 1 0 0 15 1
1 24  576 2 2 3 0 0 0 15 1
2 21  441 4 2 3 0 0 0 15 1
2 18  324 4 2 4 0 1 0 15 2
2 27  729 4 2 4 0 1 0 15 2
2 64 4096 2 2 3 0 1 0 15 1
1 23  529 4 2 5 0 0 0 15 1
2 41 1681 4 2 1 0 1 0 15 2
2 28  784 5 1 4 0 1 0 15 2
1 45 2025 2 1 5 0 1 0 15 2
2 40 1600 3 1 1 0 1 0 15 2
2 69 4761 3 2 3 0 1 0 15 2
2 46 2116 6 2 3 0 1 0 15 1
2 54 2916 3 2 2 0 1 0 15 2
1 53 2809 0 2 3 1 0 0 15 1
2 67 4489 2 2 3 1 0 0 15 1
1 43 1849 5 2 2 0 1 0 15 1
1 19  361 4 2 3 0 0 0 15 1
1 25  625 5 2 3 0 1 0 15 1
1 73 5329 3 2 4 0 1 0 15 1
2 20  400 5 2 3 0 1 0 15 1
1 67 4489 4 2 3 0 0 0 15 1
2 67 4489 5 1 3 0 1 0 15 2
2 18  324 5 2 3 0 0 0 15 1
1 19  361 3 2 2 0 0 0 15 1
1 58 3364 6 1 4 0 1 0 15 2
1 41 1681 2 1 4 1 0 0 15 1
2 59 3481 3 2 3 0 0 0 15 1
1 20  400 4 2 4 0 1 0 15 2
2 19  361 4 2 4 0 0 0 15 1
2 56 3136 3 2 4 0 0 0 15 1
2 46 2116 5 2 3 0 1 0 15 1
1 55 3025 2 2 3 1 0 0 15 1
2 64 4096 2 2 3 0 1 0 15 1
2 63 3969 0 2 3 0 0 0 15 2
1 36 1296 5 1 2 0 1 0 15 1
1 67 4489 4 2 2 0 1 0 15 1
1 45 2025 5 1 4 0 1 0 15 2
2 60 3600 4 2 3 0 1 0 15 1
1 22  484 4 2 3 0 1 0 15 1
2 20  400 5 2 3 0 0 0 15 1
1 28  784 3 2 3 0 0 0 15 2
1 80 6400 0 2 4 0 0 0 15 2
1 43 1849 9 1 3 0 1 0 15 1
2 88 7744 6 2 4 1 0 0 15 1
1 68 4624 2 2 2 0 1 0 15 2
1 53 2809 3 2 4 0 0 0 15 2
1 51 2601 2 1 4 0 0 0 15 2
2 50 2500 2 2 2 0 1 0 15 2
1 66 4356 0 2 3 0 1 0 15 1
1 60 3600 3 2 4 0 1 0 15 2
2 58 3364 4 1 4 0 1 0 15 2
1 51 2601 2 2 3 0 1 0 15 2
2 58 3364 2 1 3 0 1 0 15 2
1 49 2401 4 2 4 0 1 0 15 2
1 60 3600 2 2 4 1 0 0 15 1
2 38 1444 4 2 3 0 0 0 15 1
2 25  625 4 2 3 0 1 0 15 1
1 40 1600 4 1 4 0 1 0 15 1
1 20  400 4 2 4 0 0 0 15 1
1 43 1849 2 2 3 0 0 0 15 1
1 35 1225 4 2 3 0 1 0 15 1
2 53 2809 2 1 2 0 1 0 15 2
1 23  529 4 2 3 0 0 0 15 2
2 66 4356 0 2 4 0 0 0 15 1
1 22  484 4 2 4 0 1 0 15 2
1 19  361 4 1 3 1 0 0 15 2
1 37 1369 6 2 4 1 0 0 18 1
1 35 1225 5 2 3 0 0 0 18 1
2 27  729 2 1 2 0 1 0 18 1
1 37 1369 8 1 2 0 0 0 18 1
2 25  625 5 1 3 0 1 0 18 1
2 47 2209 3 1 3 0 0 0 18 2
2 35 1225 6 1 2 0 1 0 18 1
1 33 1089 3 2 4 0 1 0 16 2
2 19  361 4 1 3 0 0 0 18 1
2 33 1089 0 2 4 0 1 0 18 2
1 36 1296 3 2 3 1 0 0 16 2
1 49 2401 3 1 1 0 0 1 16 2
1 25  625 3 2 4 0 0 0 16 1
end
label values gender LABAR
label def LABAR 1 "male", modify
label def LABAR 2 "female", modify
label values urbrur urbrur
label def urbrur 1 "urban", modify
label def urbrur 2 "rural", modify
label values living_cond LABI
label def LABI 1 "much worse", modify
label def LABI 2 "worse", modify
label def LABI 3 "same", modify
label def LABI 4 "better", modify
label def LABI 5 "much better", modify
label values Country country
label def country 15 "SOUTH AFRICA", modify
label def country 16 "TANZANIA", modify
label def country 18 "ZAMBIA", modify
label values Wave wave
label def wave 1 "round3", modify
label def wave 2 "round4", modify

[Andrew Musau]

That won't work with two different x variables as the axis is defined w.r.t. the x variable. If the variables are measured on the same scale, you can reshape long the data and have an indicator identifying which x variable. Then use the -if- qualifier with twoway.

[Ethan Gaala]

Thanks, @Musau for the tip. Do you have a sample code for a similar function? Are you able to show how to include this modification in my code? I have tried several combinations with errors.

[Andrew Musau]

Give a reproducible example that plots the graphs side-by-side. I do not see the variable "voted_pred_mission" in #1. I am also not interested in the locals and the loops. Your code should be as simple as

lowess y x1 if x2<z
lowess y x2 if x1<z

[Ethan Gaala]

Sorry for the confusion, the voted_pred_mission is a predicted variable after I run the regression. If you run the regression below, obviously you'll get a different outcome because dataex will not let me add more of my variables. Nonetheless, let's use the original version of the variable, instead of the predicted p,
lowess voted ldmission , ldmission <= 5.2
lowess voted ldcatho, ldcatho <= 5.2

The other problem is that this code generates a graph that has lines running all over. I'm attaching the graphs here for your view. I want to have a smoothened graph

* Example generated by -dataex-. For more info, type help dataex
clear
input int voted float(ldmission ldcatho) byte gender float(age age2 education) byte(urbrur living_cond) float(catholic_now protestant_now muslim_now) long(Country Wave)
0  3.295524  5.278751 1 38 1444 2 2 3 0 0 0 15 1
1 2.3980975  5.266923 2 44 1936 2 2 4 0 1 0 15 1
1  2.698109  5.303064 2 32 1024 4 2 2 0 1 0 15 1
1 2.3980975  5.266923 1 35 1225 3 2 1 0 0 0 15 1
1 2.3062606  5.319501 1 29  841 6 2 4 0 1 0 15 1
0  2.607949  5.201148 2 18  324 4 2 3 0 0 0 15 1
1  2.698109  5.303064 2 56 3136 5 2 4 1 0 0 15 1
1 2.3062606  5.319501 1 35 1225 6 2 3 0 1 0 15 1
1  1.565786  5.094637 2 41 1681 3 2 4 0 1 0 15 2
1  2.715725  5.266022 1 63 3969 3 2 4 0 0 0 15 1
1  2.607949  5.201148 2 36 1296 4 2 2 0 0 0 15 1
1  2.922326  5.375945 1 46 2116 4 1 4 0 1 0 15 2
1 1.3604553  5.305167 2 40 1600 3 2 2 0 0 0 15 2
1 2.1648827  5.224882 2 63 3969 2 2 2 0 0 0 15 1
1 2.1648827  5.224882 1 71 5041 0 2 4 0 0 0 15 1
1 1.3604553  5.305167 2 36 1296 2 2 3 0 0 0 15 2
1 2.7004294  5.314059 1 34 1156 4 2 4 0 0 0 15 1
1 1.8030276  5.449199 1 36 1296 3 2 1 0 0 0 15 1
1  3.100268  5.421429 2 67 4489 4 2 2 0 1 0 15 1
0   2.69352  5.392028 2 21  441 4 1 3 0 1 0 15 1
1 2.3980975  5.266923 2 40 1600 2 2 3 1 0 0 15 1
1 2.1882062  5.368993 1 24  576 2 2 3 0 0 0 15 1
0 2.7004294  5.314059 2 21  441 4 2 3 0 0 0 15 1
0 2.2233977  5.439286 2 18  324 4 2 4 0 1 0 15 2
0  1.565786  5.094637 2 27  729 4 2 4 0 1 0 15 2
1 2.3062606  5.319501 2 64 4096 2 2 3 0 1 0 15 1
0  3.100268  5.421429 1 23  529 4 2 5 0 0 0 15 1
1 1.7892542  5.448228 2 41 1681 4 2 1 0 1 0 15 2
1  2.922326  5.375945 2 28  784 5 1 4 0 1 0 15 2
1 1.7892542  5.448228 1 45 2025 2 1 5 0 1 0 15 2
1 1.7892542  5.448228 2 40 1600 3 1 1 0 1 0 15 2
1  2.724901  5.312489 2 69 4761 3 2 3 0 1 0 15 2
1 2.3062606  5.319501 2 46 2116 6 2 3 0 1 0 15 1
1  2.724901  5.312489 2 54 2916 3 2 2 0 1 0 15 2
0 2.3980975  5.266923 1 53 2809 0 2 3 1 0 0 15 1
1 2.3980975  5.266923 2 67 4489 2 2 3 1 0 0 15 1
0   2.56769  5.310072 1 43 1849 5 2 2 0 1 0 15 1
0  2.607949  5.201148 1 19  361 4 2 3 0 0 0 15 1
1 2.7004294  5.314059 1 25  625 5 2 3 0 1 0 15 1
1   2.56769  5.310072 1 73 5329 3 2 4 0 1 0 15 1
0 2.1882062  5.368993 2 20  400 5 2 3 0 1 0 15 1
1  3.100268  5.421429 1 67 4489 4 2 3 0 0 0 15 1
1  2.922326  5.375945 2 67 4489 5 1 3 0 1 0 15 2
0  3.100268  5.421429 2 18  324 5 2 3 0 0 0 15 1
0  2.607949  5.201148 1 19  361 3 2 2 0 0 0 15 1
1  2.162259  5.271806 1 58 3364 6 1 4 0 1 0 15 2
1 2.1961772  5.272246 1 41 1681 2 1 4 1 0 0 15 1
1  3.295524  5.278751 2 59 3481 3 2 3 0 0 0 15 1
0 1.3604553  5.305167 1 20  400 4 2 4 0 1 0 15 2
0 2.1648827  5.224882 2 19  361 4 2 4 0 0 0 15 1
1 2.7004294  5.314059 2 56 3136 3 2 4 0 0 0 15 1
1 1.8030276  5.449199 2 46 2116 5 2 3 0 1 0 15 1
1 2.3980975  5.266923 1 55 3025 2 2 3 1 0 0 15 1
1  2.715725  5.266022 2 64 4096 2 2 3 0 1 0 15 1
1 1.7892542  5.448228 2 63 3969 0 2 3 0 0 0 15 2
1   2.69352  5.392028 1 36 1296 5 1 2 0 1 0 15 1
1 1.8030276  5.449199 1 67 4489 4 2 2 0 1 0 15 1
1 1.7892542  5.448228 1 45 2025 5 1 4 0 1 0 15 2
1   2.56769  5.310072 2 60 3600 4 2 3 0 1 0 15 1
0 2.3980975  5.266923 1 22  484 4 2 3 0 1 0 15 1
1 1.8030276  5.449199 2 20  400 5 2 3 0 0 0 15 1
1 1.7892542  5.448228 1 28  784 3 2 3 0 0 0 15 2
1  2.724901  5.312489 1 80 6400 0 2 4 0 0 0 15 2
1 2.1961772  5.272246 1 43 1849 9 1 3 0 1 0 15 1
1 2.1882062  5.368993 2 88 7744 6 2 4 1 0 0 15 1
1  2.724901  5.312489 1 68 4624 2 2 2 0 1 0 15 2
1  1.565786  5.094637 1 53 2809 3 2 4 0 0 0 15 2
1  2.162259  5.271806 1 51 2601 2 1 4 0 0 0 15 2
0 2.2233977  5.439286 2 50 2500 2 2 2 0 1 0 15 2
1  2.698109  5.303064 1 66 4356 0 2 3 0 1 0 15 1
1 2.2233977  5.439286 1 60 3600 3 2 4 0 1 0 15 2
1  2.162259  5.271806 2 58 3364 4 1 4 0 1 0 15 2
1 2.2233977  5.439286 1 51 2601 2 2 3 0 1 0 15 2
0  2.162259  5.271806 2 58 3364 2 1 3 0 1 0 15 2
0  1.565786  5.094637 1 49 2401 4 2 4 0 1 0 15 2
1  2.715725  5.266022 1 60 3600 2 2 4 1 0 0 15 1
1  3.295524  5.278751 2 38 1444 4 2 3 0 0 0 15 1
0 2.3980975  5.266923 2 25  625 4 2 3 0 1 0 15 1
1   2.69352  5.392028 1 40 1600 4 1 4 0 1 0 15 1
0 2.1648827  5.224882 1 20  400 4 2 4 0 0 0 15 1
1 2.1882062  5.368993 1 43 1849 2 2 3 0 0 0 15 1
1  2.698109  5.303064 1 35 1225 4 2 3 0 1 0 15 1
1 1.7892542  5.448228 2 53 2809 2 1 2 0 1 0 15 2
0 1.7892542  5.448228 1 23  529 4 2 3 0 0 0 15 2
1  2.715725  5.266022 2 66 4356 0 2 4 0 0 0 15 1
0 1.3604553  5.305167 1 22  484 4 2 4 0 1 0 15 2
0  2.922326  5.375945 1 19  361 4 1 3 1 0 0 15 2
1  2.893201  5.572906 1 37 1369 6 2 4 1 0 0 18 1
1  2.893201  5.572906 1 35 1225 5 2 3 0 0 0 18 1
0  5.929426  6.401748 2 27  729 2 1 2 0 1 0 18 1
1    5.7953  6.491528 1 37 1369 8 1 2 0 0 0 18 1
1    5.7953  6.491528 2 25  625 5 1 3 0 1 0 18 1
1  5.822277  6.439603 2 47 2209 3 1 3 0 0 0 18 2
1  5.509483  6.256178 2 35 1225 6 1 2 0 1 0 18 1
1  5.228532  5.490892 1 33 1089 3 2 4 0 1 0 16 2
0  5.798994  6.498509 2 19  361 4 1 3 0 0 0 18 1
0 3.3108175  5.600432 2 33 1089 0 2 4 0 1 0 18 2
1 2.3856585  5.953181 1 36 1296 3 2 3 1 0 0 16 2
1  5.046294  4.404323 1 49 2401 3 1 1 0 0 1 16 2
0  4.090047 4.0036874 1 25  625 3 2 4 0 0 0 16 1
end
label values voted voted
label def voted 0 "No", modify
label def voted 1 "Yes", modify
label values gender LABAR
label def LABAR 1 "male", modify
label def LABAR 2 "female", modify
label values urbrur urbrur
label def urbrur 1 "urban", modify
label def urbrur 2 "rural", modify
label values living_cond LABI
label def LABI 1 "much worse", modify
label def LABI 2 "worse", modify
label def LABI 3 "same", modify
label def LABI 4 "better", modify
label def LABI 5 "much better", modify
label values Country country
label def country 15 "SOUTH AFRICA", modify
label def country 16 "TANZANIA", modify
label def country 18 "ZAMBIA", modify
label values Wave wave
label def wave 1 "round3", modify
label def wave 2 "round4", modify

[Ethan Gaala]

The goodgraph.pdf was produced with the previous code that I shared with the locals, etc.

[Andrew Musau]

* Example generated by -dataex-. For more info, type help dataex
clear
input int voted float(ldmission ldcatho) byte gender float(age age2 education) byte(urbrur living_cond) float(catholic_now protestant_now muslim_now) long(Country Wave)
0  3.295524  5.278751 1 38 1444 2 2 3 0 0 0 15 1
1 2.3980975  5.266923 2 44 1936 2 2 4 0 1 0 15 1
1  2.698109  5.303064 2 32 1024 4 2 2 0 1 0 15 1
1 2.3980975  5.266923 1 35 1225 3 2 1 0 0 0 15 1
1 2.3062606  5.319501 1 29  841 6 2 4 0 1 0 15 1
0  2.607949  5.201148 2 18  324 4 2 3 0 0 0 15 1
1  2.698109  5.303064 2 56 3136 5 2 4 1 0 0 15 1
1 2.3062606  5.319501 1 35 1225 6 2 3 0 1 0 15 1
1  1.565786  5.094637 2 41 1681 3 2 4 0 1 0 15 2
1  2.715725  5.266022 1 63 3969 3 2 4 0 0 0 15 1
1  2.607949  5.201148 2 36 1296 4 2 2 0 0 0 15 1
1  2.922326  5.375945 1 46 2116 4 1 4 0 1 0 15 2
1 1.3604553  5.305167 2 40 1600 3 2 2 0 0 0 15 2
1 2.1648827  5.224882 2 63 3969 2 2 2 0 0 0 15 1
1 2.1648827  5.224882 1 71 5041 0 2 4 0 0 0 15 1
1 1.3604553  5.305167 2 36 1296 2 2 3 0 0 0 15 2
1 2.7004294  5.314059 1 34 1156 4 2 4 0 0 0 15 1
1 1.8030276  5.449199 1 36 1296 3 2 1 0 0 0 15 1
1  3.100268  5.421429 2 67 4489 4 2 2 0 1 0 15 1
0   2.69352  5.392028 2 21  441 4 1 3 0 1 0 15 1
1 2.3980975  5.266923 2 40 1600 2 2 3 1 0 0 15 1
1 2.1882062  5.368993 1 24  576 2 2 3 0 0 0 15 1
0 2.7004294  5.314059 2 21  441 4 2 3 0 0 0 15 1
0 2.2233977  5.439286 2 18  324 4 2 4 0 1 0 15 2
0  1.565786  5.094637 2 27  729 4 2 4 0 1 0 15 2
1 2.3062606  5.319501 2 64 4096 2 2 3 0 1 0 15 1
0  3.100268  5.421429 1 23  529 4 2 5 0 0 0 15 1
1 1.7892542  5.448228 2 41 1681 4 2 1 0 1 0 15 2
1  2.922326  5.375945 2 28  784 5 1 4 0 1 0 15 2
1 1.7892542  5.448228 1 45 2025 2 1 5 0 1 0 15 2
1 1.7892542  5.448228 2 40 1600 3 1 1 0 1 0 15 2
1  2.724901  5.312489 2 69 4761 3 2 3 0 1 0 15 2
1 2.3062606  5.319501 2 46 2116 6 2 3 0 1 0 15 1
1  2.724901  5.312489 2 54 2916 3 2 2 0 1 0 15 2
0 2.3980975  5.266923 1 53 2809 0 2 3 1 0 0 15 1
1 2.3980975  5.266923 2 67 4489 2 2 3 1 0 0 15 1
0   2.56769  5.310072 1 43 1849 5 2 2 0 1 0 15 1
0  2.607949  5.201148 1 19  361 4 2 3 0 0 0 15 1
1 2.7004294  5.314059 1 25  625 5 2 3 0 1 0 15 1
1   2.56769  5.310072 1 73 5329 3 2 4 0 1 0 15 1
0 2.1882062  5.368993 2 20  400 5 2 3 0 1 0 15 1
1  3.100268  5.421429 1 67 4489 4 2 3 0 0 0 15 1
1  2.922326  5.375945 2 67 4489 5 1 3 0 1 0 15 2
0  3.100268  5.421429 2 18  324 5 2 3 0 0 0 15 1
0  2.607949  5.201148 1 19  361 3 2 2 0 0 0 15 1
1  2.162259  5.271806 1 58 3364 6 1 4 0 1 0 15 2
1 2.1961772  5.272246 1 41 1681 2 1 4 1 0 0 15 1
1  3.295524  5.278751 2 59 3481 3 2 3 0 0 0 15 1
0 1.3604553  5.305167 1 20  400 4 2 4 0 1 0 15 2
0 2.1648827  5.224882 2 19  361 4 2 4 0 0 0 15 1
1 2.7004294  5.314059 2 56 3136 3 2 4 0 0 0 15 1
1 1.8030276  5.449199 2 46 2116 5 2 3 0 1 0 15 1
1 2.3980975  5.266923 1 55 3025 2 2 3 1 0 0 15 1
1  2.715725  5.266022 2 64 4096 2 2 3 0 1 0 15 1
1 1.7892542  5.448228 2 63 3969 0 2 3 0 0 0 15 2
1   2.69352  5.392028 1 36 1296 5 1 2 0 1 0 15 1
1 1.8030276  5.449199 1 67 4489 4 2 2 0 1 0 15 1
1 1.7892542  5.448228 1 45 2025 5 1 4 0 1 0 15 2
1   2.56769  5.310072 2 60 3600 4 2 3 0 1 0 15 1
0 2.3980975  5.266923 1 22  484 4 2 3 0 1 0 15 1
1 1.8030276  5.449199 2 20  400 5 2 3 0 0 0 15 1
1 1.7892542  5.448228 1 28  784 3 2 3 0 0 0 15 2
1  2.724901  5.312489 1 80 6400 0 2 4 0 0 0 15 2
1 2.1961772  5.272246 1 43 1849 9 1 3 0 1 0 15 1
1 2.1882062  5.368993 2 88 7744 6 2 4 1 0 0 15 1
1  2.724901  5.312489 1 68 4624 2 2 2 0 1 0 15 2
1  1.565786  5.094637 1 53 2809 3 2 4 0 0 0 15 2
1  2.162259  5.271806 1 51 2601 2 1 4 0 0 0 15 2
0 2.2233977  5.439286 2 50 2500 2 2 2 0 1 0 15 2
1  2.698109  5.303064 1 66 4356 0 2 3 0 1 0 15 1
1 2.2233977  5.439286 1 60 3600 3 2 4 0 1 0 15 2
1  2.162259  5.271806 2 58 3364 4 1 4 0 1 0 15 2
1 2.2233977  5.439286 1 51 2601 2 2 3 0 1 0 15 2
0  2.162259  5.271806 2 58 3364 2 1 3 0 1 0 15 2
0  1.565786  5.094637 1 49 2401 4 2 4 0 1 0 15 2
1  2.715725  5.266022 1 60 3600 2 2 4 1 0 0 15 1
1  3.295524  5.278751 2 38 1444 4 2 3 0 0 0 15 1
0 2.3980975  5.266923 2 25  625 4 2 3 0 1 0 15 1
1   2.69352  5.392028 1 40 1600 4 1 4 0 1 0 15 1
0 2.1648827  5.224882 1 20  400 4 2 4 0 0 0 15 1
1 2.1882062  5.368993 1 43 1849 2 2 3 0 0 0 15 1
1  2.698109  5.303064 1 35 1225 4 2 3 0 1 0 15 1
1 1.7892542  5.448228 2 53 2809 2 1 2 0 1 0 15 2
0 1.7892542  5.448228 1 23  529 4 2 3 0 0 0 15 2
1  2.715725  5.266022 2 66 4356 0 2 4 0 0 0 15 1
0 1.3604553  5.305167 1 22  484 4 2 4 0 1 0 15 2
0  2.922326  5.375945 1 19  361 4 1 3 1 0 0 15 2
1  2.893201  5.572906 1 37 1369 6 2 4 1 0 0 18 1
1  2.893201  5.572906 1 35 1225 5 2 3 0 0 0 18 1
0  5.929426  6.401748 2 27  729 2 1 2 0 1 0 18 1
1    5.7953  6.491528 1 37 1369 8 1 2 0 0 0 18 1
1    5.7953  6.491528 2 25  625 5 1 3 0 1 0 18 1
1  5.822277  6.439603 2 47 2209 3 1 3 0 0 0 18 2
1  5.509483  6.256178 2 35 1225 6 1 2 0 1 0 18 1
1  5.228532  5.490892 1 33 1089 3 2 4 0 1 0 16 2
0  5.798994  6.498509 2 19  361 4 1 3 0 0 0 18 1
0 3.3108175  5.600432 2 33 1089 0 2 4 0 1 0 18 2
1 2.3856585  5.953181 1 36 1296 3 2 3 1 0 0 16 2
1  5.046294  4.404323 1 49 2401 3 1 1 0 0 1 16 2
0  4.090047 4.0036874 1 25  625 3 2 4 0 0 0 16 1
end
label values voted voted
label def voted 0 "No", modify
label def voted 1 "Yes", modify
label values gender LABAR
label def LABAR 1 "male", modify
label def LABAR 2 "female", modify
label values urbrur urbrur
label def urbrur 1 "urban", modify
label def urbrur 2 "rural", modify
label values living_cond LABI
label def LABI 1 "much worse", modify
label def LABI 2 "worse", modify
label def LABI 3 "same", modify
label def LABI 4 "better", modify
label def LABI 5 "much better", modify
label values Country country
label def country 15 "SOUTH AFRICA", modify
label def country 16 "TANZANIA", modify
label def country 18 "ZAMBIA", modify
label values Wave wave
label def wave 1 "round3", modify
label def wave 2 "round4", modify

set scheme s1color
tw lowess voted ldmission if ldmission <= 5.2, sort lc(blue) saving(gr1, replace)
tw lowess voted ldcatho if ldcatho <= 5.2, sort lc(red) saving(gr2, replace)

rename (ldmission ldcatho) var=
gen long id=_n
reshape long var, i(id) j(which) string
tw lowess voted var if var <= 5.2 & which=="ldmission", sort lc(blue) || ///
   lowess voted var if var <= 5.2 & which=="ldcatho", sort lc(red)  ///
   xtitle("Something informative") leg(off) saving(gr3, replace)
   
gr combine gr1.gph gr2.gph gr3.gph

Res.:

[Ethan Gaala]

@Musau, sorry, I meant to say thank you much earlier. This is what I needed.