Graph legend(off) does not work

[yilmaz kemal]

Hello,

I have health expenditure data for 20 countries covering 1971-2019 which looks like below. I also calculated a Fourier function to see how good the Fourier function fits the data for each country.

* Example generated by -dataex-. For more info, type help dataex
clear
input float year long country float id double health float fourier
1971 1 1  -.048536042892761824  -.03952992
1972 1 1   -.08843363377541565  -.04224652
1973 1 1     -.092863008288085  -.04566855
1974 1 1   -.04994182142543355  -.04974203
1975 1 1    -.0123082348645286  -.05440232
1976 1 1   -.02792827260278471  -.05957511
1977 1 1  -.025661616531818306  -.06517772
1978 1 1   -.07116244745290785  -.07112036
1979 1 1   -.09433644681980902   -.0773077
1980 1 1   -.09588154779403167  -.08364037
1981 1 1   -.07324787825170909   -.0900166
1982 1 1   -.09699708181124123  -.09633397
1983 1 1   -.09129861506032695  -.10249094
1984 1 1   -.07801576288065505  -.10838865
1985 1 1   -.08787130215726849   -.1139325
1986 1 1   -.10368869339759779  -.11903369
1987 1 1   -.12984473701132185  -.12361068
1988 1 1   -.13601273697759464  -.12759055
1989 1 1   -.13522305909266027   -.1309102
1990 1 1   -.16410929161392002  -.13351732
1991 1 1    -.1749034081219039  -.13537136
1992 1 1   -.17267929170185997  -.13644409
1993 1 1   -.15660589634579344  -.13672014
1994 1 1   -.14090811627074754   -.1361972
1995 1 1    -.1284335655668775  -.13488609
1996 1 1   -.11190290870963263  -.13281055
1997 1 1   -.11524180552098832  -.13000692
1998 1 1   -.11115354361157273  -.12652346
1999 1 1    -.1129532612256796   -.1224196
2000 1 1   -.10835246407053643  -.11776494
2001 1 1   -.11400252493988818  -.11263816
2002 1 1   -.11788591728754902  -.10712566
2003 1 1   -.11254442813587473   -.1013202
2004 1 1   -.08363546588831329   -.0953193
2005 1 1   -.09284501401780126  -.08922377
2006 1 1   -.07979523121839557   -.0831359
2007 1 1   -.06995821404301965  -.07715791
2008 1 1   -.05752852459211174  -.07139017
2009 1 1   -.07075001456909177 -.065929614
2010 1 1   -.04969200603502319  -.06086815
2011 1 1   -.03984778668039857   -.0562911
2012 1 1   -.05154969019569319  -.05227587
2013 1 1    -.0497840265353243   -.0488906
2014 1 1  -.048793576715315486  -.04619313
2015 1 1   -.04948574453129099  -.04422996
2016 1 1  -.047359177099794286  -.04303557
2017 1 1  -.044218573712996125   -.0426318
2018 1 1  -.051062423551047474  -.04302751
2019 1 1   -.06104803674991116  -.04421844
1971 2 2  -.052224026069246726   .04733511
1972 2 2   -.05553294294401772   .04135935
1973 2 2   -.03474559274618068   .03687684
1974 2 2    -.0182180229388336  .033952687
1975 2 2    .13326770223542225   .03262639
1976 2 2    .16351073041347156   .03291123
1977 2 2    .16362296723203298  .034794025
1978 2 2    .16296694361277436   .03823534
1979 2 2    .18836892476247213   .04317018
1980 2 2    .19872515475682395     .049509
1981 2 2    .02624677561653282   .05713921
1982 2 2   .013270242662924406  .065927014
1983 2 2  -.007179835216951704   .07571962
1984 2 2  -.008342505302864376   .08634771
1985 2 2  -.007111580631541289   .09762829
1986 2 2  -.008340801048958653    .1093676
1987 2 2     .0135341918959422    .1213644
1988 2 2 -.0013931907919246195   .13341318
1989 2 2    .03495434943710156    .1453076
1990 2 2    .18795793711315376   .15684384
1991 2 2    .18789604274914862     .167824
1992 2 2    .20764800747810722    .1780592
1993 2 2    .25366938276007367     .187373
1994 2 2     .2984252024669359   .19560385
1995 2 2     .2890248838655149   .20260814
1996 2 2    .27253282714672866   .20826234
1997 2 2     .2654448894076852    .2124651
1998 2 2    .26901558010899657   .21513894
1999 2 2    .26938020863676154    .2162314
2000 2 2    .24211126692168153    .2157161
2001 2 2    .20775990079827972   .21359293
2002 2 2    .18572497089675324   .20988826
2003 2 2     .1631756520898294   .20465444
2004 2 2     .1665089246092707    .1979689
2005 2 2    .14807873089046864   .18993287
2006 2 2     .1416541922510765   .18066983
2007 2 2    .14415632984664126    .1703234
2008 2 2    .14638311927339548    .1590549
2009 2 2    .13329847280662777   .14704087
2010 2 2    .13033381207252606    .1344701
2011 2 2    .10474485404573974    .1215405
2012 2 2    .11025954819939078   .10845583
2013 2 2    .10129144374916023   .09542245
2014 2 2     .0931375767153433   .08264589
2015 2 2    .07071030201701785  .070327386
2016 2 2     .0581133122787421   .05866073
2017 2 2    .05343910999252845   .04782898
2018 2 2    .04770897486693318   .03800148
2019 2 2    .04395661815196764    .0293311
1971 3 3   -.16552630479892813   -.0653828
1972 3 3   -.14708090543709273  -.05491805
end

My problem is that even though I use the command legend(off), I keep having the legend.

forvalues i=1(1)20{
    xtline health fourier if id==`i', name(g`i', replace) xtitle("")  ylabel(,angle(0)) xlabel( 1971 1980 1990 2000 2010 2019, angle(90)) legend(off)
    }
gr combine g1 g2 g3 g4 g5 g6 g7 g8 g9 g10 g11 g12 g13 g14 g15 g16 g17 g18 g19 g20 ,name(Fourier_1, replace)

Why do I have the legend? What am I missing? I also wonder why some graphs (i.e., Australia, Ireland and New Zealand) are smaller compared to the others. Many thanks in advance.

[Jeff Pitblado (StataCorp)]

Change legend(off) to byopts(legend(off)).

[Nick Cox]

Some variation on

line health fourier year, by(country)

gets you there directly. No loop. No combine. One legend that you can remove.

[yilmaz kemal]

Thank you so much Jeff Pitblado (StataCorp) and Nick Cox.

[yilmaz kemal]

Nick Cox, a follow-up:
The code you provide is much better and easier to implement. However, one caveat is that it generates the same y-axis values for all countries which removes all the beauty of the graph. Any suggestion on how to let different y-axis values for each country to make it look like the graph that I shared in #1?

[Nick Cox]

See

help by option

for the yrescale suboption.