讓巧婦有米可炊 (提問時，如何附上適當(dāng)?shù)馁Y料)

支持�。�！

贊同哈

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1. * Example generated by -dataex-. To install: ssc install dataex
   
2. clear
   
3. input long citycode float(lny x2c)
   
4. 1 11.573503  .3014751
   
5. 1 11.777625 .26576868
   
6. 1 12.045622  .3739435
   
7. 1  12.93661  .3294944
   
8. 1 12.777052   .303688
   
9. 1  13.30768   .309849
   
10. 1 12.448235  .3752446
    
11. 1         . .35832325
    
12. 1         .  .3495152
    
13. 2  9.519809  .2300081
    
14. end
    
15. label values citycode citycode
    
16. label def citycode 1 "七臺河市", modify
    
17. label def citycode 2 "三亞市", modify

復(fù)制代碼

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1. * Example generated by -dataex-. To install: ssc install dataex
   
2. clear
   
3. input long citycode float(lny x2c)
   
4. 1 11.573503  .3014751
   
5. 1 11.777625 .26576868
   
6. 1 12.045622  .3739435
   
7. 1  12.93661  .3294944
   
8. 1 12.777052   .303688
   
9. 1  13.30768   .309849
   
10. 1 12.448235  .3752446
    
11. 1         . .35832325
    
12. 1         .  .3495152
    
13. 2  9.519809  .2300081
    
14. end
    
15. label values citycode citycode
    
16. label def citycode 1 "七臺河市", modify
    
17. label def citycode 2 "三亞市", modify

復(fù)制代碼

學(xué)到了 謝謝

1. * Example generated by -dataex-. To install: ssc install dataex
   
2. clear
   
3. input int year str9 city
   
4. 2002 "安慶"
   
5. 2003 "安慶"
   
6. 2004 "安慶"
   
7. 2005 "安慶"
   
8. 2006 "安慶"
   
9. end

復(fù)制代碼

sunying275 發(fā)表于 2018-8-21 09:36
請問您這種形式的代碼是怎么得到的呢？我復(fù)制出來的是下面這樣的
clear
input double EPS1 long SIZE1  ...

老師，這是我的數(shù)據(jù)截取，我用的命令是\[pwcorr_a ncskew duvol l.pb5 l.ret l.sigma l.dturn l.mb l.lev l.lnsize l.abacc l.roa, star1(0.01) star5(0.05) star10(0.1)\]



\[* Example generated by -dataex-. To install: ssc install dataex clear input long id int date float(ncskew duvol pb5 ret sigma mb roa lev lnsize abacc dturn)  5 2009 -1.81673 -1.12701 -.040479 -.001117 .055579  7.8367 -3.6127 46.7575 21.0003 .062103    2.55  5 2010  .736395    1.018  .445735 -.013526  .03274  4.8763  -.3388 46.8883 20.9823 .031045 -1.8149  5 2013 -1.02775 -.542085 -.717245 -.003419 .034255  3.6618 -3.3763 47.4831 20.8961 .012508   .0565  5 2014 -1.76173 -1.49063 -.297966  .000958 .058995  5.5976  3.3784 50.9964 21.0356 .066676  1.4835  5 2017  .384453  .906688  1.05804 -.013048  .02641  4.2214   .8433 51.7747 21.7921 .051091 -1.4906  9 2009 -.262277 -.097828  .161584 -.001145 .052641  5.9555   6.015 60.2092 22.7384 .040034   .8763  9 2010 -.685416  -.78368 -.492556   .00737 .060111  7.3328  5.0391  62.953 23.0283 .107816  -.4076  9 2011 -.108154 -.093498 -.362744  .002841 .071737  4.4878  3.4886 65.0402 23.1901 .099286   .1333  9 2012  .474025  .193637 -.066733 -.011609 .042101  3.2112  2.4626 64.3669 23.3013 .010766  -.6071  9 2013 -1.01067 -.858776 -.920246  .003342 .038889  3.7023  3.3166 62.8798 23.3342 .032637   .2549  9 2014  .557246  .644518   1.3431 -.004652 .037821  5.9474  3.3352 62.8934 23.4128 .004188   .3074  9 2015 -.830209 -1.02211  .412892  .004024 .056657  6.3938   5.648 63.6095   23.62 .065093  2.5549  9 2016 -.552679 -.372804 -1.36526  .000868 .034678  4.9785  2.1113 62.3791  23.797 .002328  -1.651  9 2017  .514148  .857671  -.87057 -.008953 .033804  4.1552  1.3266 63.3121 24.0231 .012148 -2.7621 11 2011  -1.1234 -1.21385  -.13812   .00451 .064756  3.2534  8.0295 67.6791 21.9759 .169036   .3983 11 2012 -.670914 -.646635  .521886 -.001351 .058405  2.8513 10.0619   62.47 22.1112 .184217  -.3783 11 2013 -1.26668  -1.1559 -.369031  .002153 .043661  2.5819  7.6902 53.4334 22.0774 .043774  -.0905 11 2014  .672343   .15012 -.434643 -.005126 .042104  2.8675 10.7651 46.5632 22.0799 .041964  -.2698 11 2015 -1.45383 -1.36277  .122628  .005495 .101493   4.121  3.7957 52.0347 22.2003 .146402  1.8789 14 2009 -1.12144 -1.07152 -1.54596  .002892 .060927  6.7267  4.6581 70.9909 21.2763 .230048  1.3863 14 2010  .806613  .979181 -.729742 -.011149 .050471  3.6117  4.6593 64.7874 21.1868 .039009   .1258 14 2011   1.1453  1.31996   .69421  -.00876 .023228  1.7634  3.8165 66.4307 21.3137 .153874 -1.4139 14 2013 -.910897 -1.08203 -1.32435  .004917 .060547  3.4031  1.7994 64.9425 21.3613 .034121   -.474 14 2014   .34344  .482538 -.644547 -.001881   .0502  4.1798  3.0408 67.6601 21.5283 .189775  -2.884 19 2009  .324634  .170394  .450973 -.006266 .048024  5.9278 -1.7078 41.3914 20.2506 .064516  1.4806 19 2010  .555458  .439576  .635288 -.003141 .070763  5.9822   1.402 43.3623 20.3054 .024819   .0179 19 2011 -.321216  .011102   .39159  .000445  .04147  2.1766   1.121 16.2047 20.7834 .050958  -.8225 19 2012 -1.23433 -.937869  .457358 -.000715 .049703   2.191  6.4827 17.7289 20.9246 .109364  -.9415 19 2014  1.03723  1.01448  .357809 -.004535 .040145  2.3848  1.1341 13.9418  20.867 .024868   .2823 21 2009  -1.5358 -1.35499  -.46276  .003907  .06225  3.1224  5.4495 27.1815 22.4149  .08839  1.0368 21 2011  .492886   .86692  .170836 -.011437   .0323  1.6678  2.5894 58.2013  23.059 .131928 -1.1515 21 2012  .530451  .541677 -.192264 -.003903 .026194  1.5618   .0824  59.178 23.0438 .051567  -.1585 21 2013  -1.1152 -.756909 -.064994  .001722 .049293  1.6009  1.3291 63.8573 23.3426 .069728   .4957 21 2014  .424926 -.272107 -.215157 -.003567 .050403  2.1314  1.1401 65.0302 23.3932 .084202   .3265 21 2015 -.628017 -.653279 -.329857   .00582 .061475  3.4096  1.2556 63.6919 23.3861 .046242  2.0106 21 2016 -.551253 -.453489 -.699157 -.001979 .041939  2.6384  1.7175 54.7908 23.1843 .056843 -1.5359 21 2017   .49501 -.116201 -.828279 -.003176 .029452  2.3902  4.0534 64.2835 23.5326 .064541  -.3389 22 2009  .194746  .348211  .059962 -.007967 .027994  3.4193 11.3117  38.121 22.4331 .159552   .4135 22 2010  .110086  .525339  .163066 -.002592 .029984  2.7924 14.0944 38.6159 22.5482 .070095  -.1815 22 2011   -1.601 -.948586  .021173 -.002998 .036725   1.731 10.4811 37.2183 22.6012  .10903  -.0831 22 2012 -.586784  -.67124  .163945  .001966 .032362  1.7828  9.2448 34.1554 22.6374 .066141  -.1807 22 2013 -1.92603 -1.71027 -2.24895  .009471  .08533  2.5772  9.0953  35.642 22.7175 .076288   .8616 22 2014 -1.69839   -.6983 -1.51855  -.00197  .03661   3.497  7.4188 29.7041   22.66 .072913   -.334 22 2016 -.955466 -.587817  .310775 -.000569 .038657  2.6052  9.8986 14.8552 22.6134  .06005  -.6048 22 2017 -.681541 -.583622 -.012509  .002721 .055481  3.3681  9.7816 17.6595 22.7996 .084728  -.2144 23 2009 -.263283 -.488011 -.514771  .002269 .064961  4.4204  2.3841 70.8031 20.7958 .064732  2.8393 23 2010  .906315  .663221 -.033179 -.005885 .049941   3.755  1.2964 66.1815 20.6598 .114289 -1.1975 23 2012 -1.15141 -.601621  .107338 -.000876 .046183  2.6562   .4437 66.5814 20.9213 .079657   .1134 23 2014 -.579864 -.545108 -.202251  .004235 .024769  6.0925  1.0689 71.1966 21.1112 .033895   .0091 23 2016  .826237  .888077 -.414586 -.007115 .062474 11.3825  1.0279 69.9066  21.138  .05206 -1.6013 23 2017 -.044129  .314148  -.26664 -.010197 .045181  8.0757  1.6556 75.4666 21.3919 .137928 -2.4425 26 2009 -.340153 -.594077  .344758 -.002619 .041309  4.5587  4.7722 51.7553 21.1446 .015299  1.5557 26 2010  .910569 -.243916  .417298  .005689 .051544  3.9202  4.7478 47.1559 21.6138 .149217 -1.3417 26 2011 -1.46789 -1.49613 -.273127  .010171 .042236   3.699  5.9734 51.8694 21.7865  .23933  -.5533 26 2012  .338357  .228006  .642304 -.006579 .034712  2.1774  3.7174 56.4416 21.9253 .022822    .226 26 2013 -.490011 -.415692  .972388  -.00019 .037006  1.9147  3.7797  56.759 21.9927 .031882   .7695 26 2015  -.38524  -.44863 -.354511  .008207 .082416  2.7981   3.088 45.7733 22.1694 .063192  2.1563 26 2016 -.493653 -.255495 -.035868 -.001405 .038137  2.5347  2.6752 40.6989 22.1108 .062766 -1.5305 26 2017  .703987  .883777  .331725 -.009646 .034567  2.0905  3.7606 31.0582 21.9986  .07722  -1.462 28 2009  -.40273 -.435066  .722108 -.005692  .06057  9.6953  4.4465 83.2209 22.3783 .082167   .5377 28 2010   .73964 -.096468 -.039385   .00348 .065464  9.0357  4.5792 82.0599 22.5649  .05186  -.3168 28 2011 -.258822  .028757  .220777  .000112 .035479  4.5563  4.6923 81.3874   22.76 .091396  -.2053 28 2012  -.77981 -.822773  .172574  .010244 .047482  5.7275  5.7033 80.2164 22.9528 .091621   .1845 28 2013  -.89253 -.543838 -.546952  .004713  .04927  5.9433  5.2493 79.0499 23.1264  .05957   .2722 28 2014  .620659  .744132  -.90071 -.009559 .046822  3.6327  5.6085 62.1854  23.275 .179722  -.5093 28 2015  -.07456  .058398  -.37726   .00367 .064503  4.3987  6.0455 57.8883 23.3049 .025814   .6596 28 2016  -.91619 -.804131  .377437 -.001822 .039538   2.871  7.4245 58.1754 23.7826 .084682  -.5684 28 2017  .960727  .881791 -.095285 -.008348 .035121  3.1804  5.2993  55.569 23.8298 .015167  -.1711 29 2009 -.623952 -.351665  -.93956 -.005928 .051689  5.9119   .7186 63.8325 21.9355   .1994  1.2607 29 2010  .326226  .603793 -1.10315 -.009054 .038538    3.33  2.5154 61.5344 21.9409 .085584  -.7723 29 2012 -.878074 -.747806  .112503  .002692 .044244  2.5425  3.0754 59.4074  22.035 .006616  -.1815 29 2013 -1.12518 -.804887 -.845943  -.00158 .037638   2.036  5.7599 58.8383 22.1619 .007769   .0209 29 2014 -1.32695 -.852741   -.1821  .000752 .048419  3.2154  6.9395 53.5301 22.1992 .042855   .4407 29 2015 -.914852 -.784213   .15657  .012831 .085646  5.6056  7.0384 47.2851 22.1536 .234163  1.7217 32 2009  -.17018 -.152767  .251949 -.008531 .052119  2.7029   3.455 44.8143 21.0867 .127005  1.8558 32 2010  .075173  .214553  .556386  -.00075 .063753  3.1145  3.2906 46.1773 21.1217 .040493   .1252 32 2011  1.21008  .637439  .555666 -.004031 .022378  1.8339    2.93 44.7662  21.177 .030747  -2.527 32 2013   -1.242  -.43385 -.213045  .002971 .051727  2.3028   .9401  32.395 21.1297 .040726   .0781 32 2015  -.77254 -.836739  .152569  .012855 .081639  6.5288  2.7865 29.0364 21.4774 .139935  1.9257 32 2016  1.13337  .667741 -.396563 -.007668 .037444  4.3936  2.2424  20.752 21.3939 .002603 -2.1267 37 2009 -.596711 -.812366  .398365 -.001395 .053344  2.3624  2.4214 58.2695 22.3179 .025722  1.2634 37 2010 -.306399  .145804  .252576 -.010645 .051964  1.7744 -2.4189 63.3932  22.387 .009431  -.2698 37 2011  .070175 -.131235  .614999 -.002142 .041546  1.2307   .1683 65.3787 22.4194 .046948  -.4327 37 2012  .208805  .080888 -.027769  .001694 .042541  1.6383 -4.2772 68.8802 22.4345 .015068  -.5872 37 2013  -1.0456 -.842583 -1.27536  -.00037 .031021  1.5549   1.337 66.9176 22.4171 .018976   -.076 42 2009 -1.35152  -1.2066 -.635032  .005589 .070868  2.5847  4.4449 68.0323 22.5921 .098816  1.1118 42 2010  .453177  .665258 -.205037 -.007363 .050377  1.7428   5.456 64.8746 22.6387 .048899  -.4288 42 2011 -.030883  .267422  .399624 -.001844 .036212  1.3027  4.5789 64.6232   22.69  .02109  -.3923 42 2015  .074134 -.489964  -.06007    .0028 .065415  2.4766  1.9592 77.1898 23.9269 .081902  1.5091 42 2016 -.392582 -.316095  .272734  .001726 .028832  2.2865   .8238 79.9012 24.0961 .053095  -1.769 42 2017  .629122  .482513 -.076485 -.006965 .027013  1.8279  1.6732 84.2186 24.4988 .217482  -.4351 43 2009  -1.0336 -.980176 -.664704  .001619 .072425  1.9595  1.6679 67.7765 22.5868 .073436  1.2495 43 2010  .036047 -.009928  -.40355 -.006657 .053923  1.3871  4.1077  70.257 22.7955 .104378  -.6227 43 2012 -1.17276 -1.06494 -.550849  .008413 .059024  1.6811  3.4141 72.0261 23.3923 .070516   1.709 43 2013 -.009495  .019036 -.807917 -.004128 .041181  1.2489  3.1074 76.7877 23.5978 .120207  -.6617 43 2016 -.427085  .033582 -.058751 -.001617 .049353  2.0029   .6156  78.246 23.8021 .093609 -1.4701 43 2017  .656901  .509406  .039889 -.006698 .037285   1.785    -.17 75.9415 23.6737 .104602 -2.1118 45 2009   -.5086  -.68185  .017347  .008926 .063777  6.8382  5.5564 38.5411 20.5033 .037803   .9804 45 2010  .627847  .468958  .224147  .004021 .060326  4.0654  3.3124 18.6933 21.2273 .027884  -.8204 45 2011 -.505339 -.548726  .309864 -.006293 .040002  2.2875  2.8245 24.2557 21.3156 .023423  -.4575 end\]

Andrea533 發(fā)表于 2019-2-18 21:59
老師，這是我的數(shù)據(jù)截取，我用的命令是

您好，您是要說什么呢？

1. ----------------------- copy starting from the next line -----------------------
   
2. [CODE]
   
3. * Example generated by -dataex-. To install: ssc install dataex
   
4. clear
   
5. input byte a7a
   
6. 1
   
7. 10
   
8. 4
   
9. 12
   
10. 4
    
11. 9
    
12. 5
    
13. 4
    
14. 4
    
15. 12
    
16. end
    
17. label values a7a a7alab
    
18. label def a7alab 1 "沒有受過任何教育", modify
    
19. label def a7alab 4 "初中", modify
    
20. label def a7alab 5 "職業(yè)高中", modify
    
21. label def a7alab 9 "大學(xué)�？疲ǔ扇烁叩冉逃�）", modify
    
22. label def a7alab 10 "大學(xué)�？疲ㄕ�規(guī)高等教育）", modify
    
23. label def a7alab 12 "大學(xué)本科（正規(guī)高等教育）", modify

復(fù)制代碼

------------------ copy up to and including the previous line ------------------
[/code]

學(xué)到了