Dear All, Given the following data (taken from https://cran.r-project.org/web/packa...gnettes/rq.pdf)
Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input int id float(income foodexp)
  1 420.15765 255.83943
  2  541.4117  310.9587
  3  901.1575    485.68
  4  639.0802  402.9973
  5  750.8756  495.5608
  6   945.799  633.7978
  7  829.3979  630.7566
  8  979.1649  700.4409
  9  1309.879  830.9586
 10 1492.3988  815.3602
 11   502.839  338.0014
 12  616.7169  412.3613
 13  790.9225  520.0006
 14 555.87866  452.4015
 15  713.4412 512.72003
 16  838.7561  658.8395
 17 535.07666  392.5995
 18  596.4408  443.5586
 19  924.5619  640.1164
 20  487.7583  333.8394
 21  692.6397  466.9583
 22   997.877  543.3969
 23  506.9995 317.71985
 24  654.1587  424.3209
 25  933.9193  518.9617
 26  433.6813  338.0014
 27  587.5962  419.6412
 28  896.4746    476.32
 29  454.4782  386.3602
 30  584.9989 423.27835
 31   800.799  503.3572
 32  502.4369  354.6389
 33  713.5197  497.3182
 34  906.0006  588.5195
 35  880.5969  654.5972
 36  796.8289  550.7274
 37   854.879 528.37695
 38 1167.3716  640.4813
 39 523.80005  401.3203
 40  670.7792   435.999
 41  377.0584  276.5606
 42   851.543  588.3488
 43 1121.0938  664.1978
 44  625.5179  444.8602
 45  805.5377  462.8995
 46  558.5812  377.7792
 47  884.4005 553.15045
 48  1257.499  810.8962
 49  2051.179 1067.9541
 50  1466.333 1049.8788
 51  730.0989 522.70123
 52   800.799  572.0807
 53 1245.6964   907.397
 54 1201.0002  811.5776
 55  634.4002  427.7975
 56  956.2314  649.9985
 57 1148.6011  860.6002
 58 1768.8236 1143.4211
 59  2822.533 2032.6792
 60  922.3549 590.61835
 61  2293.192  1570.391
 62  627.4726    483.48
 63  889.9809  600.4804
 64    1162.2  696.2021
 65 1197.0793  774.7962
 66  530.7972  390.5984
 67 1142.1526  612.5619
 68 1088.0039  708.7621
 69  484.6612  296.9192
 70   1536.02 1071.4626
 71  678.8974  496.5976
 72  671.8802  503.3974
 73  690.4683  357.6411
 74  860.6948  430.3376
 75  873.3095   624.699
 76  894.4598 582.54126
 77  1148.647 580.22156
 78  926.8762 543.88074
 79  839.0414  588.6372
 80  829.4974  627.9999
 81 1264.0043  712.1012
 82  1937.977   968.395
 83  698.8317  482.5816
 84  920.4199  593.1694
 85  1897.571 1033.5658
 86  891.6824  693.6794
 87  889.6783  693.6794
 88 1221.4818  761.2791
 89  544.5991  361.3981
 90 1031.4491  628.4522
 91 1462.9497  771.4485
 92  830.4353  757.1187
 93  975.0414   821.597
 94 1337.9983 1022.3202
 95  867.6427  679.4407
 96  725.7459 538.74915
 97  989.0056  679.9981
 98 1525.0005  977.0033
 99   672.196  561.2015
100  923.3977  728.3997
101  472.3215  372.3186
102  590.7601   361.521
103  940.9218  517.9196
104  643.3571  459.8177
105 2551.6616  863.9199
106 1795.3226  831.4407
107 1165.7734 534.76105
108  815.6212  392.0502
109 1264.2065  934.9752
110 1095.4056  813.3081
111  447.4478    263.71
112 1178.9741  769.0839
113  975.8023  630.5863
114 1017.8522  645.9874
115  423.8798  319.5584
116 558.77673  348.4518
117  943.2487  614.5068
118 1348.3003  662.0096
119 2340.6174 1504.3707
120 587.17914   406.218
121  1540.974  692.1689
122  1115.848   588.137
123 1044.6843  511.2609
124  1389.793    700.56
125  2497.786  1301.145
126  1585.381   879.066
127  1862.044  912.8851
128 2008.8546  1509.781
129  697.3099 484.06055
130  571.2518  399.6703
131  598.3465  444.1001
132  461.0977  248.8101
133  977.1107 527.80133
134  883.9849 500.63135
135  718.3594  436.8107
136 543.89703   374.799
137  1587.348  726.3922
138  4957.813    1827.2
139  969.6838  523.4911
140   419.998  334.9998
141 561.99896  473.2009
142  689.5988 581.20294
143 1398.5203   929.754
144  820.8168  591.1974
145  875.1716  637.5483
146   1392.45  674.9509
147 1256.3174  776.7589
148  1362.859   959.517
149 1999.2552 1250.9644
150  1209.473  737.8201
151 1125.0356  810.6772
152  1827.401  983.0009
153  1014.154  708.8969
154  880.3944    633.12
155  2432.391 1424.8047
156 1177.8547  830.9586
157  1222.594  925.5795
158  1519.581 1162.0024
159  687.6638   383.458
160  953.1192  621.1173
161  953.1192  621.1173
162  953.1192  621.1173
163  939.0418  548.6002
164 1283.4025  745.2353
165  1511.579  837.8005
166  1342.582  795.3403
167   511.798  418.5976
168  689.7988  508.7975
169 1532.3074   883.278
170 1056.0808  742.5276
171  387.3195  242.3202
172  387.3195  242.3202
173  410.9987 266.00098
174  832.7554  614.7588
175  614.9986  385.3184
176  887.4658    515.62
177 1024.8176  708.4787
178 1006.4354  734.2357
179       726   433.001
180  494.4174  327.4188
181  748.6414 429.03995
182  987.6417  619.6408
183  788.0961   400.799
184  831.7983  620.8007
185 1139.4945  819.9965
186  507.5169   360.878
187  576.1972  395.7608
188  696.5991  442.0001
189   650.818  404.0384
190  949.5802  670.7993
191  497.1193 297.57016
192  570.1674  353.4882
193  724.7306  383.9376
194  408.3399  284.8008
195  638.6713     431.1
196  1225.789  801.3517
197  715.3701  448.4513
198  800.4708  577.9111
199  975.5974   570.521
200 1613.7566  865.3206
201  608.5019  444.5578
202  958.6634  680.4198
203  835.9426  576.2779
204  873.7375  631.7982
205  951.4432 608.64185
206  473.0022  300.9999
207 601.00305  377.9984
208  713.9979  397.0015
209  829.2983  588.5195
210  959.7953  681.7616
211 1212.9613  807.3603
212  958.8743  696.8011
213 1129.4431  811.1962
214  1943.042   1305.72
215  539.6388  442.0001
216   463.599  353.6013
217    562.64  468.0008
218  736.7584  526.7573
219  1415.446   890.239
220 2208.7898 1318.8032
221  636.0009 331.00055
222   759.401  416.4015
223 1078.8383  596.8406
224   499.751  408.4992
225 1020.0225  775.0209
226  1595.161  1138.162
227  776.5958  485.5198
228 1230.9236  772.7612
229  1807.952   993.963
230  415.4407   305.439
231  440.5174  306.5191
232  541.2006 299.19934
233 581.35986  468.0008
234  743.0773  522.6019
235 1057.6768  750.3202
end
How can I draw graph like this?Array

We can run the following regressions:
Code:
// OLS
reg foodexp income
// Quantile = 0.05
qreg foodexp income, q(0.05)
// Quantile = 0.1
qreg foodexp income, q(0.1)
// Quantile = 0.25
qreg foodexp income, q(0.25)
// Quantile = 0.5 (Median)
qreg foodexp income, q(0.5)
// Quantile = 0.75
qreg foodexp income, q(0.75)
// Quantile = 0.95
qreg foodexp income, q(0.95)
But, how to graph them in one figure? Thanks.