sum計(jì)算統(tǒng)計(jì)量（detail查看百分位數(shù)和階段最值等）

• Skewness：偏度（偏態(tài)系數(shù)），小于0表示左偏，即數(shù)據(jù)位于均值左邊的比較少，大于0相反。絕對(duì)值越大，偏離程度越大。
• Kurtosis：峰度（峰態(tài)系數(shù)），反映分布形態(tài)的陡峭程度，峰度越大，數(shù)據(jù)分布峰部形狀越尖。

gen生成新變量

• 必須賦值！！

replace更改變量值

list

preserve—restore

• preserve后可修改數(shù)據(jù)
• restore后恢復(fù)原數(shù)據(jù)
• 相當(dāng)于備份？

. sysuse auto, clear (1978 automobile data). sum price, detailPrice -------------------------------------------------------------Percentiles Smallest1% 3291 32915% 3748 3299 10% 3895 3667 Obs 74 25% 4195 3748 Sum of wgt. 7450% 5006.5 Mean 6165.257Largest Std. dev. 2949.496 75% 6342 13466 90% 11385 13594 Variance 8699526 95% 13466 14500 Skewness 1.653434 99% 15906 15906 Kurtosis 4.819188. sum priceVariable | Obs Mean Std. dev. Min Max -------------+---------------------------------------------------------price | 74 6165.257 2949.496 3291 15906. sysuse auto, clear (1978 automobile data). by foreign: sum price weight------------------------------------------------------------------------------- -> foreign = DomesticVariable | Obs Mean Std. dev. Min Max -------------+---------------------------------------------------------price | 52 6072.423 3097.104 3291 15906weight | 52 3317.115 695.3637 1800 4840------------------------------------------------------------------------------- -> foreign = ForeignVariable | Obs Mean Std. dev. Min Max -------------+---------------------------------------------------------price | 22 6384.682 2621.915 3748 12990weight | 22 2315.909 433.0035 1760 3420. by foreign: sum price weight length if price > 5000, detail------------------------------------------------------------------------------- -> foreign = DomesticPrice -------------------------------------------------------------Percentiles Smallest1% 5104 51045% 5172 5172 10% 5189 5189 Obs 23 25% 5705 5222 Sum of wgt. 2350% 6342 Mean 8359.609Largest Std. dev. 3491.661 75% 11385 13466 90% 13594 13594 Variance 1.22e+07 95% 14500 14500 Skewness .8240605 99% 15906 15906 Kurtosis 2.252418Weight (lbs.) -------------------------------------------------------------Percentiles Smallest1% 2520 25205% 3210 3210 10% 3220 3220 Obs 23 25% 3600 3280 Sum of wgt. 2350% 3830 Mean 3817.826Largest Std. dev. 511.5392 75% 4080 4290 90% 4330 4330 Variance 261672.3 95% 4720 4720 Skewness -.2778813 99% 4840 4840 Kurtosis 3.574592Length (in.) -------------------------------------------------------------Percentiles Smallest1% 182 1825% 198 198 10% 200 200 Obs 23 25% 201 200 Sum of wgt. 2350% 212 Mean 210.8261Largest Std. dev. 11.75373 75% 220 221 90% 222 222 Variance 138.1502 95% 230 230 Skewness -.2226277 99% 233 233 Kurtosis 2.991821------------------------------------------------------------------------------- -> foreign = ForeignPrice -------------------------------------------------------------Percentiles Smallest1% 5079 50795% 5079 5397 10% 5397 5719 Obs 14 25% 5799 5799 Sum of wgt. 1450% 6572.5 Mean 7639Largest Std. dev. 2523.636 75% 9690 9690 90% 11995 9735 Variance 6368737 95% 12990 11995 Skewness 1.000074 99% 12990 12990 Kurtosis 2.710336Weight (lbs.) -------------------------------------------------------------Percentiles Smallest1% 1990 19905% 1990 2040 10% 2040 2070 Obs 14 25% 2160 2160 Sum of wgt. 1450% 2390 Mean 2503.571Largest Std. dev. 432.4458 75% 2750 2750 90% 3170 2830 Variance 187009.3 95% 3420 3170 Skewness .7238332 99% 3420 3420 Kurtosis 2.585679Length (in.) -------------------------------------------------------------Percentiles Smallest1% 155 1555% 155 156 10% 156 170 Obs 14 25% 170 170 Sum of wgt. 1450% 174 Mean 175.2143Largest Std. dev. 11.51707 75% 184 184 90% 192 189 Variance 132.6429 95% 193 192 Skewness -.106999 99% 193 193 Kurtosis 2.478998. sum foreignVariable | Obs Mean Std. dev. Min Max -------------+---------------------------------------------------------foreign | 74 .2972973 .4601885 0 1. sum foreign, detailCar origin -------------------------------------------------------------Percentiles Smallest1% 0 05% 0 0 10% 0 0 Obs 74 25% 0 0 Sum of wgt. 7450% 0 Mean .2972973Largest Std. dev. .4601885 75% 1 1 90% 1 1 Variance .2117734 95% 1 1 Skewness .8869686 99% 1 1 Kurtosis 1.786713. generate price2 = price + 15. list price price2+-----------------+| price price2 ||-----------------|1. | 4,099 4114 |2. | 4,749 4764 |3. | 3,799 3814 |4. | 4,816 4831 |5. | 7,827 7842 ||-----------------|6. | 5,788 5803 |7. | 4,453 4468 |8. | 5,189 5204 |9. | 10,372 10387 |10. | 4,082 4097 ||-----------------|11. | 11,385 11400 |12. | 14,500 14515 |13. | 15,906 15921 |14. | 3,299 3314 |15. | 5,705 5720 ||-----------------|16. | 4,504 4519 |17. | 5,104 5119 |18. | 3,667 3682 |19. | 3,955 3970 |20. | 3,984 3999 ||-----------------|21. | 4,010 4025 |22. | 5,886 5901 |23. | 6,342 6357 |24. | 4,389 4404 |25. | 4,187 4202 ||-----------------|26. | 11,497 11512 |27. | 13,594 13609 |28. | 13,466 13481 |29. | 3,829 3844 |30. | 5,379 5394 ||-----------------|31. | 6,165 6180 |32. | 4,516 4531 |33. | 6,303 6318 |34. | 3,291 3306 |35. | 8,814 8829 ||-----------------|36. | 5,172 5187 |37. | 4,733 4748 |38. | 4,890 4905 |39. | 4,181 4196 |40. | 4,195 4210 ||-----------------|41. | 10,371 10386 |42. | 4,647 4662 |43. | 4,425 4440 |44. | 4,482 4497 |45. | 6,486 6501 ||-----------------|46. | 4,060 4075 |47. | 5,798 5813 |48. | 4,934 4949 |49. | 5,222 5237 |50. | 4,723 4738 ||-----------------|51. | 4,424 4439 |52. | 4,172 4187 |53. | 9,690 9705 |54. | 6,295 6310 |55. | 9,735 9750 ||-----------------|56. | 6,229 6244 |57. | 4,589 4604 |58. | 5,079 5094 |59. | 8,129 8144 |60. | 4,296 4311 ||-----------------|61. | 5,799 5814 |62. | 4,499 4514 |63. | 3,995 4010 |64. | 12,990 13005 |65. | 3,895 3910 ||-----------------|66. | 3,798 3813 |67. | 5,899 5914 |68. | 3,748 3763 |69. | 5,719 5734 |70. | 7,140 7155 ||-----------------|71. | 5,397 5412 |72. | 4,697 4712 |73. | 6,850 6865 |74. | 11,995 12010 |+-----------------+. replace price2 = price2 - 15 (74 real changes made). list price price2+-----------------+| price price2 ||-----------------|1. | 4,099 4099 |2. | 4,749 4749 |3. | 3,799 3799 |4. | 4,816 4816 |5. | 7,827 7827 ||-----------------|6. | 5,788 5788 |7. | 4,453 4453 |8. | 5,189 5189 |9. | 10,372 10372 |10. | 4,082 4082 ||-----------------|11. | 11,385 11385 |12. | 14,500 14500 |13. | 15,906 15906 |14. | 3,299 3299 |15. | 5,705 5705 ||-----------------|16. | 4,504 4504 |17. | 5,104 5104 |18. | 3,667 3667 |19. | 3,955 3955 |20. | 3,984 3984 ||-----------------|21. | 4,010 4010 |22. | 5,886 5886 |23. | 6,342 6342 |24. | 4,389 4389 |25. | 4,187 4187 ||-----------------|26. | 11,497 11497 |27. | 13,594 13594 |28. | 13,466 13466 |29. | 3,829 3829 |30. | 5,379 5379 ||-----------------|31. | 6,165 6165 |32. | 4,516 4516 |33. | 6,303 6303 |34. | 3,291 3291 |35. | 8,814 8814 ||-----------------|36. | 5,172 5172 |37. | 4,733 4733 |38. | 4,890 4890 |39. | 4,181 4181 |40. | 4,195 4195 ||-----------------|41. | 10,371 10371 |42. | 4,647 4647 |43. | 4,425 4425 |44. | 4,482 4482 |45. | 6,486 6486 ||-----------------|46. | 4,060 4060 |47. | 5,798 5798 |48. | 4,934 4934 |49. | 5,222 5222 |50. | 4,723 4723 ||-----------------|51. | 4,424 4424 |52. | 4,172 4172 |53. | 9,690 9690 |54. | 6,295 6295 |55. | 9,735 9735 ||-----------------|56. | 6,229 6229 |57. | 4,589 4589 |58. | 5,079 5079 |59. | 8,129 8129 |60. | 4,296 4296 ||-----------------|61. | 5,799 5799 |62. | 4,499 4499 |63. | 3,995 3995 |64. | 12,990 12990 |65. | 3,895 3895 ||-----------------|66. | 3,798 3798 |67. | 5,899 5899 |68. | 3,748 3748 |69. | 5,719 5719 |70. | 7,140 7140 ||-----------------|71. | 5,397 5397 |72. | 4,697 4697 |73. | 6,850 6850 |74. | 11,995 11995 |+-----------------+. gen v1 = price^2. list price v1+-------------------+| price v1 ||-------------------|1. | 4,099 1.68e+07 |2. | 4,749 2.26e+07 |3. | 3,799 1.44e+07 |4. | 4,816 2.32e+07 |5. | 7,827 6.13e+07 ||-------------------|6. | 5,788 3.35e+07 |7. | 4,453 1.98e+07 |8. | 5,189 2.69e+07 |9. | 10,372 1.08e+08 |10. | 4,082 1.67e+07 ||-------------------|11. | 11,385 1.30e+08 |12. | 14,500 2.10e+08 |13. | 15,906 2.53e+08 |14. | 3,299 1.09e+07 |15. | 5,705 3.25e+07 ||-------------------|16. | 4,504 2.03e+07 |17. | 5,104 2.61e+07 |18. | 3,667 1.34e+07 |19. | 3,955 1.56e+07 |20. | 3,984 1.59e+07 ||-------------------|21. | 4,010 1.61e+07 |22. | 5,886 3.46e+07 |23. | 6,342 4.02e+07 |24. | 4,389 1.93e+07 |25. | 4,187 1.75e+07 ||-------------------|26. | 11,497 1.32e+08 |27. | 13,594 1.85e+08 |28. | 13,466 1.81e+08 |29. | 3,829 1.47e+07 |30. | 5,379 2.89e+07 ||-------------------|31. | 6,165 3.80e+07 |32. | 4,516 2.04e+07 |33. | 6,303 3.97e+07 |34. | 3,291 1.08e+07 |35. | 8,814 7.77e+07 ||-------------------|36. | 5,172 2.67e+07 |37. | 4,733 2.24e+07 |38. | 4,890 2.39e+07 |39. | 4,181 1.75e+07 |40. | 4,195 1.76e+07 ||-------------------|41. | 10,371 1.08e+08 |42. | 4,647 2.16e+07 |43. | 4,425 1.96e+07 |44. | 4,482 2.01e+07 |45. | 6,486 4.21e+07 ||-------------------|46. | 4,060 1.65e+07 |47. | 5,798 3.36e+07 |48. | 4,934 2.43e+07 |49. | 5,222 2.73e+07 |50. | 4,723 2.23e+07 ||-------------------|51. | 4,424 1.96e+07 |52. | 4,172 1.74e+07 |53. | 9,690 9.39e+07 |54. | 6,295 3.96e+07 |55. | 9,735 9.48e+07 ||-------------------|56. | 6,229 3.88e+07 |57. | 4,589 2.11e+07 |58. | 5,079 2.58e+07 |59. | 8,129 6.61e+07 |60. | 4,296 1.85e+07 ||-------------------|61. | 5,799 3.36e+07 |62. | 4,499 2.02e+07 |63. | 3,995 1.60e+07 |64. | 12,990 1.69e+08 |65. | 3,895 1.52e+07 ||-------------------|66. | 3,798 1.44e+07 |67. | 5,899 3.48e+07 |68. | 3,748 1.40e+07 |69. | 5,719 3.27e+07 |70. | 7,140 5.10e+07 ||-------------------|71. | 5,397 2.91e+07 |72. | 4,697 2.21e+07 |73. | 6,850 4.69e+07 |74. | 11,995 1.44e+08 |+-------------------+. gen v2 = price^3. gen v3 = price^0.5. list v1-v3+--------------------------------+| v1 v2 v3 ||--------------------------------|1. | 1.68e+07 6.89e+10 64.02343 |2. | 2.26e+07 1.07e+11 68.91299 |3. | 1.44e+07 5.48e+10 61.63603 |4. | 2.32e+07 1.12e+11 69.39741 |5. | 6.13e+07 4.79e+11 88.47034 ||--------------------------------|6. | 3.35e+07 1.94e+11 76.0789 |7. | 1.98e+07 8.83e+10 66.7308 |8. | 2.69e+07 1.40e+11 72.03471 |9. | 1.08e+08 1.12e+12 101.843 |10. | 1.67e+07 6.80e+10 63.89053 ||--------------------------------|11. | 1.30e+08 1.48e+12 106.7005 |12. | 2.10e+08 3.05e+12 120.4159 |13. | 2.53e+08 4.02e+12 126.119 |14. | 1.09e+07 3.59e+10 57.43692 |15. | 3.25e+07 1.86e+11 75.53145 ||--------------------------------|16. | 2.03e+07 9.14e+10 67.11185 |17. | 2.61e+07 1.33e+11 71.44228 |18. | 1.34e+07 4.93e+10 60.55576 |19. | 1.56e+07 6.19e+10 62.88879 |20. | 1.59e+07 6.32e+10 63.11893 ||--------------------------------|21. | 1.61e+07 6.45e+10 63.32456 |22. | 3.46e+07 2.04e+11 76.72027 |23. | 4.02e+07 2.55e+11 79.63667 |24. | 1.93e+07 8.45e+10 66.24953 |25. | 1.75e+07 7.34e+10 64.70703 ||--------------------------------|26. | 1.32e+08 1.52e+12 107.2241 |27. | 1.85e+08 2.51e+12 116.5933 |28. | 1.81e+08 2.44e+12 116.0431 |29. | 1.47e+07 5.61e+10 61.87891 |30. | 2.89e+07 1.56e+11 73.34167 ||--------------------------------|31. | 3.80e+07 2.34e+11 78.51752 |32. | 2.04e+07 9.21e+10 67.20119 |33. | 3.97e+07 2.50e+11 79.39143 |34. | 1.08e+07 3.56e+10 57.36724 |35. | 7.77e+07 6.85e+11 93.8829 ||--------------------------------|36. | 2.67e+07 1.38e+11 71.91662 |37. | 2.24e+07 1.06e+11 68.7968 |38. | 2.39e+07 1.17e+11 69.92854 |39. | 1.75e+07 7.31e+10 64.66065 |40. | 1.76e+07 7.38e+10 64.76882 ||--------------------------------|41. | 1.08e+08 1.12e+12 101.8381 |42. | 2.16e+07 1.00e+11 68.16891 |43. | 1.96e+07 8.66e+10 66.52068 |44. | 2.01e+07 9.00e+10 66.94774 |45. | 4.21e+07 2.73e+11 80.53571 ||--------------------------------|46. | 1.65e+07 6.69e+10 63.71813 |47. | 3.36e+07 1.95e+11 76.1446 |48. | 2.43e+07 1.20e+11 70.24244 |49. | 2.73e+07 1.42e+11 72.2634 |50. | 2.23e+07 1.05e+11 68.72408 ||--------------------------------|51. | 1.96e+07 8.66e+10 66.51315 |52. | 1.74e+07 7.26e+10 64.59102 |53. | 9.39e+07 9.10e+11 98.4378 |54. | 3.96e+07 2.49e+11 79.34103 |55. | 9.48e+07 9.23e+11 98.66611 ||--------------------------------|56. | 3.88e+07 2.42e+11 78.92401 |57. | 2.11e+07 9.66e+10 67.74216 |58. | 2.58e+07 1.31e+11 71.26711 |59. | 6.61e+07 5.37e+11 90.16096 |60. | 1.85e+07 7.93e+10 65.54388 ||--------------------------------|61. | 3.36e+07 1.95e+11 76.15117 |62. | 2.02e+07 9.11e+10 67.07458 |63. | 1.60e+07 6.38e+10 63.20601 |64. | 1.69e+08 2.19e+12 113.9737 |65. | 1.52e+07 5.91e+10 62.40993 ||--------------------------------|66. | 1.44e+07 5.48e+10 61.62791 |67. | 3.48e+07 2.05e+11 76.80495 |68. | 1.40e+07 5.27e+10 61.22091 |69. | 3.27e+07 1.87e+11 75.62407 |70. | 5.10e+07 3.64e+11 84.49852 ||--------------------------------|71. | 2.91e+07 1.57e+11 73.46428 |72. | 2.21e+07 1.04e+11 68.53466 |73. | 4.69e+07 3.21e+11 82.76472 |74. | 1.44e+08 1.73e+12 109.5217 |+--------------------------------+. sum v1-v3Variable | Obs Mean Std. dev. Min Max -------------+---------------------------------------------------------v1 | 74 4.66e+07 5.14e+07 1.08e+07 2.53e+08v2 | 74 4.35e+11 7.63e+11 3.56e+10 4.02e+12v3 | 74 76.75214 16.67704 57.36724 126.119. sum v1-v3, detailv1 -------------------------------------------------------------Percentiles Smallest1% 1.08e+07 1.08e+075% 1.40e+07 1.09e+07 10% 1.52e+07 1.34e+07 Obs 74 25% 1.76e+07 1.40e+07 Sum of wgt. 7450% 2.51e+07 Mean 4.66e+07Largest Std. dev. 5.14e+07 75% 4.02e+07 1.81e+08 90% 1.30e+08 1.85e+08 Variance 2.65e+15 95% 1.81e+08 2.10e+08 Skewness 2.224265 99% 2.53e+08 2.53e+08 Kurtosis 7.346822v2 -------------------------------------------------------------Percentiles Smallest1% 3.56e+10 3.56e+105% 5.27e+10 3.59e+10 10% 5.91e+10 4.93e+10 Obs 74 25% 7.38e+10 5.27e+10 Sum of wgt. 7450% 1.26e+11 Mean 4.35e+11Largest Std. dev. 7.63e+11 75% 2.55e+11 2.44e+12 90% 1.48e+12 2.51e+12 Variance 5.82e+23 95% 2.44e+12 3.05e+12 Skewness 2.797291 99% 4.02e+12 4.02e+12 Kurtosis 10.81449v3 -------------------------------------------------------------Percentiles Smallest1% 57.36724 57.367245% 61.22091 57.43692 10% 62.40993 60.55576 Obs 74 25% 64.76882 61.22091 Sum of wgt. 7450% 70.75477 Mean 76.75214Largest Std. dev. 16.67704 75% 79.63667 116.0431 90% 106.7005 116.5933 Variance 278.1238 95% 116.0431 120.4159 Skewness 1.361583 99% 126.119 126.119 Kurtosis 3.885685. by foreign: list v1-v3------------------------------------------------------------------------------- -> foreign = Domestic+--------------------------------+| v1 v2 v3 ||--------------------------------|1. | 1.68e+07 6.89e+10 64.02343 |2. | 2.26e+07 1.07e+11 68.91299 |3. | 1.44e+07 5.48e+10 61.63603 |4. | 2.32e+07 1.12e+11 69.39741 |5. | 6.13e+07 4.79e+11 88.47034 ||--------------------------------|6. | 3.35e+07 1.94e+11 76.0789 |7. | 1.98e+07 8.83e+10 66.7308 |8. | 2.69e+07 1.40e+11 72.03471 |9. | 1.08e+08 1.12e+12 101.843 |10. | 1.67e+07 6.80e+10 63.89053 ||--------------------------------|11. | 1.30e+08 1.48e+12 106.7005 |12. | 2.10e+08 3.05e+12 120.4159 |13. | 2.53e+08 4.02e+12 126.119 |14. | 1.09e+07 3.59e+10 57.43692 |15. | 3.25e+07 1.86e+11 75.53145 ||--------------------------------|16. | 2.03e+07 9.14e+10 67.11185 |17. | 2.61e+07 1.33e+11 71.44228 |18. | 1.34e+07 4.93e+10 60.55576 |19. | 1.56e+07 6.19e+10 62.88879 |20. | 1.59e+07 6.32e+10 63.11893 ||--------------------------------|21. | 1.61e+07 6.45e+10 63.32456 |22. | 3.46e+07 2.04e+11 76.72027 |23. | 4.02e+07 2.55e+11 79.63667 |24. | 1.93e+07 8.45e+10 66.24953 |25. | 1.75e+07 7.34e+10 64.70703 ||--------------------------------|26. | 1.32e+08 1.52e+12 107.2241 |27. | 1.85e+08 2.51e+12 116.5933 |28. | 1.81e+08 2.44e+12 116.0431 |29. | 1.47e+07 5.61e+10 61.87891 |30. | 2.89e+07 1.56e+11 73.34167 ||--------------------------------|31. | 3.80e+07 2.34e+11 78.51752 |32. | 2.04e+07 9.21e+10 67.20119 |33. | 3.97e+07 2.50e+11 79.39143 |34. | 1.08e+07 3.56e+10 57.36724 |35. | 7.77e+07 6.85e+11 93.8829 ||--------------------------------|36. | 2.67e+07 1.38e+11 71.91662 |37. | 2.24e+07 1.06e+11 68.7968 |38. | 2.39e+07 1.17e+11 69.92854 |39. | 1.75e+07 7.31e+10 64.66065 |40. | 1.76e+07 7.38e+10 64.76882 ||--------------------------------|41. | 1.08e+08 1.12e+12 101.8381 |42. | 2.16e+07 1.00e+11 68.16891 |43. | 1.96e+07 8.66e+10 66.52068 |44. | 2.01e+07 9.00e+10 66.94774 |45. | 4.21e+07 2.73e+11 80.53571 ||--------------------------------|46. | 1.65e+07 6.69e+10 63.71813 |47. | 3.36e+07 1.95e+11 76.1446 |48. | 2.43e+07 1.20e+11 70.24244 |49. | 2.73e+07 1.42e+11 72.2634 |50. | 2.23e+07 1.05e+11 68.72408 ||--------------------------------|51. | 1.96e+07 8.66e+10 66.51315 |52. | 1.74e+07 7.26e+10 64.59102 |+--------------------------------+------------------------------------------------------------------------------- -> foreign = Foreign+--------------------------------+| v1 v2 v3 ||--------------------------------|1. | 9.39e+07 9.10e+11 98.4378 |2. | 3.96e+07 2.49e+11 79.34103 |3. | 9.48e+07 9.23e+11 98.66611 |4. | 3.88e+07 2.42e+11 78.92401 |5. | 2.11e+07 9.66e+10 67.74216 ||--------------------------------|6. | 2.58e+07 1.31e+11 71.26711 |7. | 6.61e+07 5.37e+11 90.16096 |8. | 1.85e+07 7.93e+10 65.54388 |9. | 3.36e+07 1.95e+11 76.15117 |10. | 2.02e+07 9.11e+10 67.07458 ||--------------------------------|11. | 1.60e+07 6.38e+10 63.20601 |12. | 1.69e+08 2.19e+12 113.9737 |13. | 1.52e+07 5.91e+10 62.40993 |14. | 1.44e+07 5.48e+10 61.62791 |15. | 3.48e+07 2.05e+11 76.80495 ||--------------------------------|16. | 1.40e+07 5.27e+10 61.22091 |17. | 3.27e+07 1.87e+11 75.62407 |18. | 5.10e+07 3.64e+11 84.49852 |19. | 2.91e+07 1.57e+11 73.46428 |20. | 2.21e+07 1.04e+11 68.53466 ||--------------------------------|21. | 4.69e+07 3.21e+11 82.76472 |22. | 1.44e+08 1.73e+12 109.5217 |+--------------------------------+. sysuse auto, clear (1978 automobile data). edit. edit price weight. preserve. gen price2 = price + 15. gen weight1 = weight / 5. save auto1.dta file auto1.dta saved. restore. sysuse auto, clear (1978 automobile data). list price2 variable price2 not found r(111);. clear. input nothing to input r(104);. input x yx y1. 1 22. 3 43. 4 54. end. save mydata, replace (file mydata.dta not found) file mydata.dta saved. sysuse mydata.dta, clear. input str10 name agename age1. Mike 222. Bruce 213. end

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