Dear all, I want to add shade in my graph when the variable corr_x is negative.
Code:
 * Example generated by -dataex-. To install: ssc install dataex clear input double index long close int(Date year id) double(corr_nobs corr_x max date)  5651.33 64270 17349 2007   1   1                    . . 17349  6182.65 66430 17350 2007   2   2    .9999999999999998 . 17350  5878.08 65650 17351 2007   3   3      .97052848772018 . 17351  5553.82 66190 17352 2007   4   4     .458758690119113 . 17352  5806.92 65350 17353 2007   5   5   .45611860360983897 . 17353  6115.39 66650 17356 2007   6   6    .5903931285560045 . 17356  5918.04 66410 17357 2007   7   7    .5879494789565383 . 17357  6127.05 64880 17358 2007   8   8    .3354686792369121 . 17358   6084.4 65480 17359 2007   9   9   .29323929005998195 . 17359  6020.29 64500 17360 2007  10  10   .19434975570337623 . 17360  5763.28 64860 17363 2007  11  11   .24667392775765404 . 17363  5857.23 64160 17364 2007  12  12    .2594614319666902 . 17364  5655.79 64470 17365 2007  13  13   .33518694464757737 . 17365  5696.57 65940 17366 2007  14  14    .2688187769319072 . 17366  5864.18 68130 17367 2007  15  15   .19112825718525217 . 17367  6301.46 69700 17370 2007  16  16    .4614732577697231 . 17370  6272.31 67800 17371 2007  17  17    .5271924882819055 . 17371   6457.9 67700 17372 2007  18  18     .575892241694194 . 17372  6573.88 68060 17373 2007  19  19    .6256936861797918 . 17373  6501.24 67520 17374 2007  20  20    .6430035098956797 . 17374  6746.54 67720 17377 2007  21  21     .653892137465157 . 17377  7282.77 68940 17378 2007  22  22    .6977421574944782 . 17378  6933.31 67770 17379 2007  23  23    .7020145044501578 . 17379  7175.31 67930 17380 2007  24  24    .7025365078557799 . 17380  7562.89 67950 17381 2007  25  25    .6878412467321868 . 17381  8195.81 65750 17384 2007  26  26    .4954317353458506 . 17384  8260.42 66280 17385 2007  27  27   .41158147270650086 . 17385  7989.23 66080 17386 2007  28  28   .35780814599826843 . 17386  8134.88 66090 17387 2007  29  29   .31112267040812397 . 17387  7880.14 64400 17388 2007  30  30   .21298767171428626 . 17388  7493.73 65510 17391 2007  31  31   .18555776154476103 . 17391  7765.29 65000 17392 2007  32  32   .13748456911805723 . 17392  7709.65 64300 17393 2007  33  33   .07886281630843311 . 17393  7824.48 64400 17394 2007  34  34  .026477835360220327 . 17394     7583 61600 17395 2007  35  35  -.05619426550679293 1 17395     7841 63340 17398 2007  36  36  -.10906445047014544 1 17398   8373.6 63020 17399 2007  37  37   -.1812254895093693 1 17399  8901.97 63290 17400 2007  38  38   -.2490678288957796 1 17400  8880.94 65070 17401 2007  39  39   -.2586971411554492 1 17401  8980.43 64510 17402 2007  40  40    -.281639538799086 1 17402  9763.58 65690 17405 2007  41  41  -.26426889524688363 1 17405 10369.48 64860 17406 2007  42  42  -.27499304417455883 1 17406  9699.84 63930 17407 2007  43  43  -.30884495960037506 1 17407  9555.04 65130 17408 2007  44  44  -.31163535884703214 1 17408  9528.57 65620 17409 2007  45  45   -.3039574640097074 1 17409  9472.21 64910 17412 2007  46  46  -.31174542809664707 1 17412  9268.12 64940 17413 2007  47  47  -.31842658536828067 1 17413  9638.01 64800 17414 2007  48  48  -.32708274982307284 1 17414  9604.04 64450 17415 2007  49  49  -.34081011591571353 1 17415  9656.84 64900 17416 2007  50  50   -.3462672092646095 1 17416  9515.83 64260 17419 2007  51  51   -.3603667130723903 1 17419  9092.61 64870 17420 2007  52  52  -.36516673457578236 1 17420  9642.63 65570 17421 2007  53  53   -.3588346451750023 1 17421  10030.3 65410 17422 2007  54  54   -.3536293597483003 1 17422  9987.49 65800 17423 2007  55  55  -.34230344795314355 1 17423  9904.12 66140 17426 2007  56  56   -.3266574474767442 1 17426 10169.41 65830 17427 2007  57  57  -.31560596258294443 1 17427  9952.33 66880 17428 2007  58  58  -.28884153320195893 1 17428  10311.2 67000 17429 2007  59  59   -.2571925733858419 1 17429  11174.5 67190 17430 2007  60  60  -.21240502264141414 1 17430 11497.75 67490 17433 2007  61  61  -.16116263074835138 1 17433 11609.86 68020 17434 2007  62  62  -.10238179687323279 1 17434 10913.49 67410 17435 2007  63  63  -.07152555961530747 1 17435 11731.58 67510 17436 2007  64  64 -.033353231674378356 1 17436 12092.12 68060 17437 2007  65  65  .015410495384709353 . 17437  12162.2 67630 17447 2007  66  66   .05057905934763032 . 17447  12599.5 66180 17448 2007  67  67   .05522878786178968 . 17448 12460.51 66790 17449 2007  68  68   .07114932755249363 . 17449 13051.94 66920 17450 2007  69  69   .08998601600913161 . 17450 13039.32 66890 17451 2007  70  70   .10637143175852679 . 17451 12884.62 67790 17454 2007  71  71    .1364143835935956 . 17454 12794.38 67620 17455 2007  72  72   .16040943026070245 . 17455 12684.87 66740 17456 2007  73  73     .168888445721926 . 17456 12064.89 66560 17457 2007  74  74   .17381513778564883 . 17457 12498.58 66360 17458 2007  75  75   .17597871831825151 . 17458  11498.7 65070 17461 2007  76  76   .16453554324863726 . 17461 11512.08 65400 17462 2007  77  77    .1571170076388031 . 17462  11500.1 64800 17463 2007  78  78    .1437828254241529 . 17463 10640.66 65010 17464 2007  79  79   .13682096700936183 . 17464 10726.66 65650 17465 2007  80  80   .13430689688835165 . 17465 11172.16 66450 17468 2007  81  81    .1375599578606629 . 17468 11644.37 65200 17469 2007  82  82   .12902304285279348 . 17469 11688.68 65200 17470 2007  83  83   .12070973570877616 . 17470 11045.01 64410 17471 2007  84  84   .10861158401122463 . 17471 10388.06 63720 17472 2007  85  85   .09681872248413938 . 17472 10020.84 62700 17475 2007  86  86   .08389996843738655 . 17475  9631.31 63460 17476 2007  87  87   .07824487152584486 . 17476  9958.46 63480 17477 2007  88  88   .07040381423784865 . 17477   9046.6 61890 17478 2007  89  89   .06844729896627066 . 17478  8996.66 62190 17479 2007  90  90   .06755777679757281 . 17479  8706.98 59650 17482 2007  91  91    .0693604609483941 . 17482  8244.11 59270 17483 2007  92  92   .07882767387364413 . 17483  9048.16 59770 17484 2007  93  93   .07524611757189698 . 17484  8988.48 60000 17485 2007  94  94   .07325997835015766 . 17485  8824.45 58200 17486 2007  95  95   .07267494989666858 . 17486  8680.24 57390 17489 2007  96  96   .07435976020149596 . 17489  8726.62 55780 17490 2007  97  97   .07459026879822074 . 17490  8608.24 53590 17491 2007  98  98   .07642547753238917 . 17491  7892.15 54450 17492 2007  99  99   .09106918102757162 . 17492  7917.67 55420 17493 2007 100 100   .10293002223561658 . 17493 end format %td Date
and my code is
Code:
 tw line corr_x Date,yline(0,lp(dash))
I want to add shade area in the graph is corr_x