Hey Hey,
I am going to plot this graph. As you can see the lines are not distinguishable. Are there any statistics who is professional in colors? I need to change the colors of this graph in a more clear way.
variables: i. shr_immg
ii. expgr
iii. year
iv. sk_rat

Thank you.
Cheers,
Paris
I am going to plot this graph. As you can see the lines are not distinguishable. Are there any statistics who is professional in colors? I need to change the colors of this graph in a more clear way.
variables: i. shr_immg
ii. expgr
iii. year
iv. sk_rat
Code:
* Example generated by -dataex-. For more info, type help dataex
clear
input float(shr_immg expgr year) byte sk_rat
.05503061 2.5 2010 1
.06694431 2.5 2010 2
.05063058 2.5 2010 3
.019168485 2.5 2010 4
.06142874 7.5 2010 1
.06934506 7.5 2010 2
.04832072 7.5 2010 3
.01989755 7.5 2010 4
.08093745 12.5 2010 1
.07400702 12.5 2010 2
.04825509 12.5 2010 3
.020215943 12.5 2010 4
.08118037 17.5 2010 1
.065791704 17.5 2010 2
.04412679 17.5 2010 3
.02139619 17.5 2010 4
.07085426 22.5 2010 1
.05895051 22.5 2010 2
.03882817 22.5 2010 3
.02112953 22.5 2010 4
.05903677 27.5 2010 1
.0457269 27.5 2010 2
.028109454 27.5 2010 3
.017869443 27.5 2010 4
.05306067 32.5 2010 1
.03250171 32.5 2010 2
.019051975 32.5 2010 3
.015390552 32.5 2010 4
.03923188 37.5 2010 1
.02492431 37.5 2010 2
.016793575 37.5 2010 3
.011034894 37.5 2010 4
.04691476 2.5 2011 1
.0635872 2.5 2011 2
.04785227 2.5 2011 3
.021027865 2.5 2011 4
.05538343 7.5 2011 1
.070339486 7.5 2011 2
.04933658 7.5 2011 3
.020823166 7.5 2011 4
.0666237 12.5 2011 1
.07248996 12.5 2011 2
.04630022 12.5 2011 3
.02159231 12.5 2011 4
.07227072 17.5 2011 1
.067834616 17.5 2011 2
.04430788 17.5 2011 3
.02158496 17.5 2011 4
.06433461 22.5 2011 1
.0567777 22.5 2011 2
.03798372 22.5 2011 3
.02393508 22.5 2011 4
.05270181 27.5 2011 1
.04593248 27.5 2011 2
.029678874 27.5 2011 3
.0204106 27.5 2011 4
.04756397 32.5 2011 1
.03298021 32.5 2011 2
.01988868 32.5 2011 3
.0165327 32.5 2011 4
.0363319 37.5 2011 1
.025909504 37.5 2011 2
.015751133 37.5 2011 3
.013578624 37.5 2011 4
.03847504 2.5 2012 1
.05529667 2.5 2012 2
.04445817 2.5 2012 3
.02226549 2.5 2012 4
.04930587 7.5 2012 1
.06545868 7.5 2012 2
.04206071 7.5 2012 3
.02101392 7.5 2012 4
.05395012 12.5 2012 1
.06328956 12.5 2012 2
.04206284 12.5 2012 3
.01884999 12.5 2012 4
.05991699 17.5 2012 1
.06275273 17.5 2012 2
.03902856 17.5 2012 3
.021033356 17.5 2012 4
.05644323 22.5 2012 1
.05213553 22.5 2012 2
.033387184 22.5 2012 3
.02176094 22.5 2012 4
.04528735 27.5 2012 1
.04316704 27.5 2012 2
.02735599 27.5 2012 3
.02016751 27.5 2012 4
.04004281 32.5 2012 1
.030530445 32.5 2012 2
.02156375 32.5 2012 3
.015440163 32.5 2012 4
.032650497 37.5 2012 1
.02599809 37.5 2012 2
.01348382 37.5 2012 3
.01402306 37.5 2012 4
.036287617 2.5 2013 1
.05437677 2.5 2013 2
.04160819 2.5 2013 3
.02573657 2.5 2013 4
end
twoway (line shr_immg expgr if year==2010 & sk_rat==1, lcolor(gs10)) ///
(line shr_immg expgr if year==2011 & sk_rat==1, lcolor(black) lpat(dash_3dot)) ///
(line shr_immg expgr if year==2012 & sk_rat==1, lcolor(gs7) lpat(vshortdash)) ///
(line shr_immg expgr if year==2013 & sk_rat==1, lcolor(black) lpat(dot)) ///
(line shr_immg expgr if year==2014 & sk_rat==1, lcolor(black) lpat(dash)) ///
(line shr_immg expgr if year==2015 & sk_rat==1, lcolor(black) lpat(solid)) ///
(line shr_immg expgr if year==2016 & sk_rat==1, lcolor(black) lpat(vshortdash)) ///
(line shr_immg expgr if year==2017 & sk_rat==1, lcolor(black) lpat(solid)) ///
(line shr_immg expgr if year==2018 & sk_rat==1, lcolor(black) lpat(vshortdash)) ///
(line shr_immg expgr if year==2019 & sk_rat==1, lcolor(gs10) lpat(dash)),legend(label(1 "2010") ///
label(2 "2011") label(3 "2012") label(4 "2013") label(5 "2014") label(6 "2015") label(7 "2016")label(8 "2017")label(9 "2018")label(10 "2019")cols(10)) ylab(,nogrid) ///
ti("Panel A: 1st Quartile", size(medium) color(black)) xti("Years of Experience", size(medium)) ///
yti("Immigrant Share") graphr(ic(white) ifc(white) ilc(white) fcolor(white) lcolor(white)) ///
saving(Quartile1_Fig1.gph)
Thank you.
Cheers,
Paris

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