Übersicht/Clustering/Modelierung
Letzte Aktualisierung: 2024-12-01 15:12:40
Gesamtübersicht
Übersicht über CONTRAfluran-Filter
| median.duration | mean.flow | mean.balanced.anaesthesia | mean.airway | mean.laparoscopic | n.cases.lama.nonlap.tiva | n.cases.tube.nonlap.tiva | n.cases.lama.lap.tiva | n.cases.tube.lap.tiva | n.cases.lama.nonlap.inha | n.cases.tube.nonlap.inha | n.cases.lama.lap.inha | n.cases.tube.lap.inha | sum.dura.lama.nonlap.tiva | sum.dura.tube.nonlap.tiva | sum.dura.lama.lap.tiva | sum.dura.tube.lap.tiva | sum.dura.lama.nonlap.inha | sum.dura.tube.nonlap.inha | sum.dura.lama.lap.inha | sum.dura.tube.lap.inha | med.flow.lama.nonlap.tiva | med.flow.tube.nonlap.tiva | med.flow.lama.lap.tiva | med.flow.tube.lap.tiva | med.flow.lama.nonlap.inha | med.flow.tube.nonlap.inha | med.flow.lama.lap.inha | med.flow.tube.lap.inha | ncases | weight | agc.id | center | or | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CH0100010089 | 90.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2 | 11 | 0 | 35 | 5 | 6 | 0 | 17 | 148.00 | 1583.00 | 0 | 3298.00 | 155.00 | 570.00 | 0.00 | 1562.00 | 6.00 | 7.50 | 0.0 | 6.00 | 0.50 | 1.00 | 0.00 | 0.50 | 76 | 400 | CH0100010089 | 13 | 13-01 |
| CH0100011411 | 84.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 8 | 0 | 0 | 0 | 59 | 0 | 0 | 0.00 | 513.00 | 0 | 0.00 | 0.00 | 4922.00 | 0.00 | 0.00 | 0.00 | 0.50 | 0.0 | 0.00 | 0.00 | 0.50 | 0.00 | 0.00 | 67 | 400 | CH0100011411 | 12 | 12-01 |
| CH0100018639 | 48.50 | 1.03 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 1 | 0.00 | 0.00 | 0 | 0.00 | 439.00 | 0.00 | 0.00 | 120.00 | 0.00 | 0.00 | 0.0 | 0.00 | 1.00 | 0.00 | 0.00 | 0.50 | 12 | 400 | CH0100018639 | 9 | 09-03 |
| CH0100022340 | 97.22 | 0.68 | 0.98 | 0.84 | 0.14 | 0 | 0 | 0 | 0 | 47 | 99 | 3 | 18 | 0.00 | 0.00 | 0 | 0.00 | 3075.32 | 14500.72 | 132.83 | 2737.72 | 0.00 | 0.00 | 0.0 | 0.00 | 0.35 | 0.30 | 0.50 | 0.32 | 171 | 400 | CH0100022340 | 4 | 04-06 |
| CH0100022358 | 87.60 | 0.51 | 0.98 | 0.95 | 0.32 | 0 | 0 | 0 | 1 | 4 | 24 | 2 | 14 | 0.00 | 0.00 | 0 | 98.77 | 157.95 | 3419.03 | 97.58 | 1486.18 | 0.00 | 0.00 | 0.0 | 3.00 | 0.50 | 0.38 | 0.52 | 0.30 | 46 | 400 | CH0100022358 | 4 | 04-05 |
| CH0100022359 | 47.85 | 1.95 | 0.74 | 0.57 | 0.00 | 2 | 8 | 0 | 0 | 19 | 11 | 0 | 0 | 165.33 | 461.93 | 0 | 0.00 | 856.65 | 904.28 | 0.00 | 0.00 | 3.00 | 3.00 | 0.0 | 0.00 | 0.50 | 0.35 | 0.00 | 0.00 | 40 | 400 | CH0100022359 | 4 | 04-01 |
| CH0100022374 | 140.29 | 0.48 | 0.94 | 0.99 | 0.01 | 0 | 7 | 0 | 0 | 3 | 201 | 0 | 1 | 0.00 | 1996.65 | 0 | 0.00 | 180.68 | 31157.87 | 0.00 | 270.90 | 0.00 | 0.55 | 0.0 | 0.00 | 0.30 | 0.35 | 0.00 | 0.25 | 212 | 400 | CH0100022374 | 4 | 04-03 |
| CH0100022440 | 111.97 | 0.46 | 0.63 | 0.72 | 0.00 | 3 | 3 | 0 | 0 | 3 | 10 | 0 | 0 | 359.13 | 455.38 | 0 | 0.00 | 288.18 | 1207.27 | 0.00 | 0.00 | 0.50 | 0.35 | 0.0 | 0.00 | 0.30 | 0.30 | 0.00 | 0.00 | 20 | 400 | CH0100022440 | 4 | 04-02 |
| CH0100022449 | 273.62 | 0.51 | 1.00 | 0.99 | 0.86 | 0 | 1 | 0 | 0 | 5 | 10 | 0 | 99 | 0.00 | 92.27 | 0 | 0.00 | 303.63 | 4424.45 | 0.00 | 29567.20 | 0.00 | 3.30 | 0.0 | 0.00 | 0.45 | 0.32 | 0.00 | 0.30 | 115 | 400 | CH0100022449 | 4 | 04-04 |
| CH0100022685 | 63.00 | 0.35 | 0.95 | 0.91 | 0.32 | 5 | 1 | 0 | 0 | 11 | 50 | 0 | 26 | 220.00 | 39.00 | 0 | 0.00 | 411.00 | 3900.00 | 0.00 | 2177.00 | 0.50 | 0.30 | 0.0 | 0.00 | 0.40 | 0.30 | 0.00 | 0.30 | 95 | 400 | CH0100022685 | 11 | 11-01 |
| CH0100022762 | 85.50 | 0.34 | 0.88 | 0.78 | 0.02 | 11 | 1 | 0 | 0 | 9 | 41 | 0 | 2 | 744.00 | 23.00 | 0 | 0.00 | 596.00 | 4681.00 | 0.00 | 153.00 | 0.30 | 1.00 | 0.0 | 0.00 | 0.30 | 0.30 | 0.00 | 0.30 | 64 | 400 | CH0100022762 | 11 | 11-02 |
| CH0100026809 | 62.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2 | 1 | 0 | 0 | 9 | 44 | 0 | 11 | 57.00 | 44.00 | 0 | 0.00 | 227.00 | 4155.00 | 0.00 | 1051.00 | 0.30 | 0.35 | 0.0 | 0.00 | 0.30 | 0.30 | 0.00 | 0.30 | 69 | 400 | CH0100026809 | 11 | 11-01 |
| CH0100027236 | 50.00 | 0.00 | 0.00 | 0.00 | 0.00 | 9 | 0 | 0 | 0 | 13 | 7 | 0 | 1 | 344.00 | 0.00 | 0 | 0.00 | 684.00 | 854.00 | 0.00 | 105.00 | 0.50 | 0.00 | 0.0 | 0.00 | 0.50 | 0.40 | 0.00 | 0.00 | 31 | 400 | CH0100027236 | 9 | 09-03 |
| CH0100027240 | 84.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 2 | 0 | 1 | 3 | 18 | 0 | 50 | 0.00 | 253.00 | 0 | 207.00 | 238.00 | 1338.00 | 0.00 | 5224.00 | 0.00 | 0.55 | 0.0 | 0.50 | 0.40 | 0.40 | 0.00 | 0.40 | 75 | 400 | CH0100027240 | 9 | 09-02 |
| CH0100027253 | 95.00 | 0.33 | 0.92 | 0.84 | 0.03 | 9 | 0 | 0 | 0 | 8 | 50 | 0 | 2 | 581.00 | 0.00 | 0 | 0.00 | 575.00 | 5829.00 | 0.00 | 204.00 | 0.30 | 0.00 | 0.0 | 0.00 | 0.38 | 0.30 | 0.00 | 0.55 | 69 | 400 | CH0100027253 | 11 | 11-02 |
| CH0100027255 | 61.00 | 0.32 | 0.99 | 0.86 | 0.38 | 1 | 0 | 0 | 0 | 15 | 32 | 0 | 25 | 28.00 | 0.00 | 0 | 0.00 | 696.00 | 2411.00 | 0.00 | 1942.00 | 0.30 | 0.00 | 0.0 | 0.00 | 0.35 | 0.30 | 0.00 | 0.30 | 73 | 400 | CH0100027255 | 11 | 11-01 |
| CH0100027395 | 62.00 | 0.32 | 1.00 | 0.85 | 0.39 | 1 | 0 | 0 | 0 | 8 | 16 | 0 | 13 | 14.00 | 0.00 | 0 | 0.00 | 440.00 | 1367.00 | 0.00 | 1157.00 | 0.50 | 0.00 | 0.0 | 0.00 | 0.30 | 0.30 | 0.00 | 0.30 | 38 | 400 | CH0100027395 | 11 | 11-01 |
| CH0100027397 | 95.00 | 0.34 | 0.94 | 0.75 | 0.00 | 13 | 3 | 0 | 0 | 34 | 93 | 0 | 0 | 643.00 | 230.00 | 0 | 0.00 | 2792.00 | 10263.00 | 0.00 | 0.00 | 0.30 | 0.30 | 0.0 | 0.00 | 0.38 | 0.30 | 0.00 | 0.00 | 143 | 400 | CH0100027397 | 11 | 11-02 |
| CH0100027403 | 92.00 | 0.33 | 0.90 | 0.61 | 0.02 | 8 | 1 | 0 | 0 | 22 | 31 | 0 | 1 | 522.00 | 63.00 | 0 | 0.00 | 1674.00 | 3205.00 | 0.00 | 130.00 | 0.30 | 0.30 | 0.0 | 0.00 | 0.30 | 0.30 | 0.00 | 0.30 | 63 | 400 | CH0100027403 | 11 | 11-02 |
| CH0100027409 | 75.00 | 0.69 | 0.00 | 0.52 | 0.00 | 2 | 4 | 0 | 0 | 6 | 2 | 0 | 1 | 204.00 | 288.00 | 0 | 0.00 | 434.00 | 304.00 | 0.00 | 93.00 | 0.60 | 0.50 | 0.0 | 0.00 | 0.75 | 0.65 | 0.00 | 0.50 | 16 | 400 | CH0100027409 | 9 | 09-03 |
| CH0100027412 | 63.00 | 0.33 | 0.98 | 0.90 | 0.31 | 4 | 0 | 0 | 0 | 10 | 51 | 0 | 23 | 106.00 | 0.00 | 0 | 0.00 | 589.00 | 4028.00 | 0.00 | 2133.00 | 0.90 | 0.00 | 0.0 | 0.00 | 0.40 | 0.30 | 0.00 | 0.30 | 89 | 400 | CH0100027412 | 11 | 11-01 |
| CH0100027432 | 130.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2 | 1 | 0 | 1 | 4 | 16 | 0 | 0 | 70.00 | 98.00 | 0 | 75.00 | 548.00 | 2064.00 | 0.00 | 0.00 | 0.70 | 1.00 | 0.0 | 0.50 | 0.65 | 0.50 | 0.00 | 0.00 | 24 | 400 | CH0100027432 | 9 | 09-01 |
| CH0100027971 | 82.50 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 3 | 0 | 2 | 7 | 32 | 0 | 42 | 0.00 | 149.00 | 0 | 138.00 | 309.00 | 2869.00 | 0.00 | 3864.00 | 0.00 | 0.70 | 0.0 | 0.55 | 0.50 | 0.40 | 0.00 | 0.40 | 86 | 400 | CH0100027971 | 9 | 09-02 |
| CH0100027976 | 77.50 | 0.00 | 0.00 | 0.00 | 0.00 | 2 | 1 | 0 | 0 | 3 | 3 | 0 | 15 | 0.00 | 75.00 | 0 | 0.00 | 155.00 | 319.00 | 0.00 | 1279.00 | 0.00 | 0.20 | 0.0 | 0.00 | 0.80 | 0.50 | 0.00 | 0.40 | 24 | 400 | CH0100027976 | 9 | 09-02 |
| CH0100027997 | 68.50 | 0.53 | 0.76 | 0.68 | 0.00 | 1 | 0 | 0 | 0 | 2 | 4 | 0 | 0 | 142.00 | 0.00 | 0 | 0.00 | 38.00 | 382.00 | 0.00 | 0.00 | 0.50 | 0.00 | 0.0 | 0.00 | 0.35 | 0.50 | 0.00 | 0.00 | 8 | 400 | CH0100027997 | 9 | 09-03 |
| CH0100027998 | 138.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 6 | 0 | 0 | 5 | 20 | 0 | 0 | 0.00 | 730.00 | 0 | 0.00 | 501.00 | 2841.00 | 0.00 | 0.00 | 0.00 | 0.50 | 0.0 | 0.00 | 0.45 | 0.50 | 0.00 | 0.00 | 32 | 400 | CH0100027998 | 9 | 09-01 |
| CH0100028113 | 66.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | 0 | 19 | 7 | 0 | 2 | 0.00 | 0.00 | 0 | 0.00 | 1095.00 | 601.00 | 0.00 | 140.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.50 | 0.50 | 0.00 | 0.45 | 28 | 400 | CH0100028113 | 9 | 09-03 |
| CH0100028371 | 114.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1 | 1 | 0 | 0 | 1 | 10 | 0 | 2 | 0.00 | 294.00 | 0 | 0.00 | 58.00 | 1413.00 | 0.00 | 148.00 | 0.50 | 0.50 | 0.0 | 0.00 | 0.30 | 0.40 | 0.00 | 0.45 | 15 | 400 | CH0100028371 | 9 | 09-01 |
| CH0100028620 | 59.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2 | 1 | 0 | 0 | 5 | 1 | 0 | 4 | 80.00 | 0.00 | 0 | 0.00 | 185.00 | 137.00 | 0.00 | 334.00 | 0.40 | 1.00 | 0.0 | 0.00 | 0.35 | 0.50 | 0.00 | 0.30 | 15 | 400 | CH0100028620 | 9 | 09-03 |
| CH0100030917 | 61.00 | 0.00 | 0.00 | 0.00 | 0.00 | 3 | 1 | 0 | 0 | 17 | 6 | 0 | 3 | 155.00 | 0.00 | 0 | 0.00 | 844.00 | 540.00 | 0.00 | 419.00 | 8.00 | 0.60 | 0.0 | 0.00 | 0.50 | 0.55 | 0.00 | 0.35 | 33 | 400 | CH0100030917 | 9 | 09-03 |
| CH0100031555 | 164.00 | 0.68 | 0.85 | 0.85 | 0.00 | 3 | 2 | 0 | 0 | 3 | 19 | 0 | 0 | 358.00 | 287.00 | 0 | 0.00 | 296.00 | 3457.00 | 0.00 | 0.00 | 0.50 | 0.75 | 0.0 | 0.00 | 0.75 | 0.55 | 0.00 | 0.00 | 28 | 400 | CH0100031555 | 3 | 03-01 |
| CH0100033001 | 181.00 | 0.67 | 0.71 | 0.80 | 0.00 | 4 | 8 | 0 | 0 | 6 | 27 | 0 | 0 | 630.00 | 1817.00 | 0 | 0.00 | 1036.00 | 5037.00 | 0.00 | 0.00 | 0.50 | 0.55 | 0.0 | 0.00 | 0.80 | 0.50 | 0.00 | 0.00 | 45 | 400 | CH0100033001 | 3 | 03-01 |
| CH0100033346 | 47.32 | 0.98 | 0.93 | 0.58 | 0.01 | 1 | 7 | 0 | 0 | 34 | 21 | 0 | 1 | 12.55 | 288.00 | 0 | 0.00 | 1880.73 | 2254.38 | 0.00 | 25.63 | 15.00 | 3.00 | 0.0 | 0.00 | 0.50 | 0.30 | 0.00 | 0.50 | 65 | 400 | CH0100033346 | 4 | 04-01 |
| CH0100034686 | 70.00 | 0.50 | 0.88 | 0.99 | 0.00 | 0 | 12 | 0 | 0 | 1 | 64 | 0 | 0 | 0.00 | 738.00 | 0 | 0.00 | 40.00 | 5479.00 | 0.00 | 0.00 | 0.00 | 0.50 | 0.0 | 0.00 | 0.50 | 0.50 | 0.00 | 0.00 | 77 | 400 | CH0100034686 | 12 | 12-01 |
| CH0100034687 | 86.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 10 | 0 | 0 | 0 | 67 | 0 | 0 | 0.00 | 599.00 | 0 | 0.00 | 0.00 | 6411.00 | 0.00 | 0.00 | 0.00 | 0.50 | 0.0 | 0.00 | 0.00 | 0.50 | 0.00 | 0.00 | 77 | 400 | CH0100034687 | 12 | 12-01 |
| CH0100035900 | 115.50 | 0.65 | 0.56 | 0.80 | 0.08 | 11 | 9 | 0 | 0 | 1 | 21 | 0 | 3 | 1055.00 | 1358.00 | 0 | 0.00 | 85.00 | 2730.00 | 0.00 | 436.00 | 0.70 | 0.50 | 0.0 | 0.00 | 0.80 | 0.50 | 0.00 | 0.50 | 46 | 400 | CH0100035900 | 6 | 06-01 |
| CH0100035902 | 95.00 | 0.64 | 0.87 | 0.89 | 0.36 | 4 | 3 | 0 | 0 | 2 | 18 | 0 | 20 | 385.00 | 302.00 | 0 | 0.00 | 208.00 | 2494.00 | 0.00 | 1897.00 | 1.30 | 0.65 | 0.0 | 0.00 | 1.05 | 0.60 | 0.00 | 0.60 | 47 | 400 | CH0100035902 | 6 | 06-04 |
| CH0100035903 | 85.00 | 0.67 | 0.83 | 0.97 | 0.25 | 4 | 1 | 1 | 2 | 0 | 17 | 0 | 6 | 89.00 | 185.00 | 18 | 242.00 | 0.00 | 2070.00 | 0.00 | 533.00 | 0.80 | 0.50 | 1.0 | 0.55 | 0.00 | 0.75 | 0.00 | 0.50 | 31 | 400 | CH0100035903 | 6 | 06-02 |
| CH0100035906 | 149.00 | 0.69 | 0.80 | 0.92 | 0.80 | 7 | 1 | 0 | 2 | 0 | 4 | 0 | 17 | 427.00 | 88.00 | 0 | 533.00 | 0.00 | 526.00 | 0.00 | 3664.00 | 0.70 | 0.50 | 0.0 | 0.50 | 0.00 | 0.75 | 0.00 | 0.65 | 31 | 400 | CH0100035906 | 6 | 06-05 |
| CH0100035907 | 57.00 | 0.77 | 0.30 | 0.34 | 0.07 | 49 | 4 | 0 | 0 | 1 | 8 | 0 | 5 | 2706.00 | 293.00 | 0 | 0.00 | 107.00 | 885.00 | 0.00 | 295.00 | 1.00 | 0.50 | 0.0 | 0.00 | 0.80 | 0.65 | 0.00 | 0.65 | 67 | 400 | CH0100035907 | 6 | 06-06 |
| CH0100035992 | 97.00 | 0.00 | 0.00 | 0.00 | 0.00 | 6 | 2 | 0 | 2 | 0 | 19 | 0 | 19 | 474.00 | 293.00 | 0 | 110.00 | 0.00 | 2640.00 | 0.00 | 1819.00 | 0.75 | 0.70 | 0.0 | 0.40 | 0.00 | 0.60 | 0.00 | 0.70 | 48 | 400 | CH0100035992 | 6 | 06-03 |
| CH0100037143 | 77.33 | 1.11 | 1.00 | 0.92 | 0.33 | 0 | 0 | 0 | 0 | 4 | 14 | 1 | 6 | 0.00 | 0.00 | 0 | 0.00 | 173.02 | 1808.87 | 48.80 | 906.75 | 0.00 | 0.00 | 0.0 | 0.00 | 0.38 | 0.30 | 0.30 | 0.32 | 25 | 400 | CH0100037143 | 4 | 04-05 |
| CH0100037148 | 57.12 | 1.16 | 0.83 | 0.43 | 0.00 | 1 | 4 | 0 | 0 | 23 | 9 | 0 | 0 | 61.70 | 393.98 | 0 | 0.00 | 1433.18 | 736.85 | 0.00 | 0.00 | 0.20 | 0.65 | 0.0 | 0.00 | 0.50 | 0.50 | 0.00 | 0.00 | 37 | 400 | CH0100037148 | 4 | 04-01 |
| CH0100037286 | 85.42 | 1.02 | 0.81 | 0.87 | 0.00 | 6 | 40 | 0 | 0 | 28 | 101 | 0 | 0 | 408.05 | 3135.60 | 0 | 0.00 | 2144.35 | 13290.15 | 0.00 | 0.00 | 1.00 | 1.90 | 0.0 | 0.00 | 0.40 | 0.30 | 0.00 | 0.00 | 176 | 400 | CH0100037286 | 4 | 04-02 |
| CH0100037288 | 54.18 | 0.90 | 0.79 | 0.44 | 0.00 | 3 | 9 | 0 | 0 | 29 | 15 | 0 | 0 | 294.53 | 506.88 | 0 | 0.00 | 1901.33 | 1218.83 | 0.00 | 0.00 | 3.00 | 1.00 | 0.0 | 0.00 | 0.40 | 0.40 | 0.00 | 0.00 | 57 | 400 | CH0100037288 | 4 | 04-01 |
| CH0100037289 | 121.22 | 1.34 | 0.59 | 0.89 | 0.00 | 4 | 24 | 0 | 0 | 4 | 41 | 0 | 0 | 737.63 | 3435.72 | 0 | 0.00 | 412.03 | 5453.83 | 0.00 | 0.00 | 0.50 | 0.85 | 0.0 | 0.00 | 0.42 | 0.50 | 0.00 | 0.00 | 74 | 400 | CH0100037289 | 4 | 04-02 |
| CH0100037333 | 84.66 | 0.50 | 0.95 | 0.93 | 0.40 | 4 | 8 | 0 | 3 | 33 | 88 | 1 | 69 | 105.95 | 697.53 | 0 | 326.00 | 1386.90 | 10407.53 | 16.47 | 8218.93 | 8.50 | 2.50 | 0.0 | 0.50 | 0.40 | 0.35 | 0.50 | 0.30 | 206 | 400 | CH0100037333 | 4 | 04-05 |
| CH0100037345 | 162.02 | 0.35 | 1.00 | 0.96 | 0.00 | 0 | 0 | 0 | 0 | 1 | 5 | 0 | 0 | 0.00 | 0.00 | 0 | 0.00 | 38.70 | 943.07 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.40 | 0.30 | 0.00 | 0.00 | 6 | 400 | CH0100037345 | 4 | 04-06 |
| CH0100037348 | 52.53 | 1.03 | 0.63 | 0.53 | 0.00 | 4 | 13 | 0 | 0 | 22 | 10 | 0 | 0 | 285.43 | 865.25 | 0 | 0.00 | 1183.58 | 762.15 | 0.00 | 0.00 | 2.50 | 3.00 | 0.0 | 0.00 | 0.38 | 0.32 | 0.00 | 0.00 | 49 | 400 | CH0100037348 | 4 | 04-01 |
| CH0100037601 | 83.50 | 0.67 | 0.63 | 0.82 | 0.49 | 11 | 3 | 0 | 3 | 0 | 6 | 0 | 17 | 655.00 | 492.00 | 0 | 215.00 | 0.00 | 738.00 | 0.00 | 1589.00 | 1.00 | 0.80 | 0.0 | 0.20 | 0.00 | 0.68 | 0.00 | 0.60 | 40 | 400 | CH0100037601 | 6 | 06-02 |
| CH0100037602 | 85.00 | 0.75 | 0.71 | 0.83 | 0.40 | 7 | 1 | 0 | 3 | 0 | 6 | 0 | 8 | 424.00 | 44.00 | 0 | 263.00 | 0.00 | 1027.00 | 0.00 | 729.00 | 1.00 | 0.60 | 0.0 | 0.70 | 0.00 | 0.62 | 0.00 | 0.55 | 25 | 400 | CH0100037602 | 6 | 06-03 |
| CH0100037605 | 131.00 | 0.60 | 0.87 | 0.91 | 0.73 | 6 | 1 | 0 | 1 | 0 | 4 | 0 | 15 | 365.00 | 40.00 | 0 | 130.00 | 0.00 | 690.00 | 0.00 | 2782.00 | 0.50 | 2.50 | 0.0 | 0.40 | 0.00 | 0.60 | 0.00 | 0.60 | 27 | 400 | CH0100037605 | 6 | 06-05 |
| CH0100037608 | 85.50 | 0.00 | 0.00 | 0.00 | 0.00 | 25 | 1 | 0 | 1 | 0 | 27 | 0 | 27 | 1558.00 | 55.00 | 0 | 65.00 | 0.00 | 3160.00 | 0.00 | 2985.00 | 0.80 | 0.60 | 0.0 | 0.60 | 0.00 | 0.50 | 0.00 | 0.50 | 82 | 400 | CH0100037608 | 6 | 06-04 |
| CH0100037609 | 82.00 | 0.68 | 0.92 | 0.99 | 0.14 | 1 | 1 | 0 | 0 | 0 | 16 | 0 | 5 | 15.00 | 125.00 | 0 | 0.00 | 0.00 | 1444.00 | 0.00 | 253.00 | 2.00 | 1.00 | 0.0 | 0.00 | 0.00 | 0.62 | 0.00 | 0.50 | 23 | 400 | CH0100037609 | 6 | 06-02 |
| CH0100037611 | 55.00 | 0.00 | 0.00 | 0.00 | 0.00 | 75 | 3 | 0 | 0 | 1 | 14 | 0 | 9 | 3969.00 | 214.00 | 0 | 0.00 | 45.00 | 1873.00 | 0.00 | 1027.00 | 1.00 | 0.70 | 0.0 | 0.00 | 2.00 | 0.55 | 0.00 | 0.50 | 103 | 400 | CH0100037611 | 6 | 06-06 |
| CH0100037619 | 83.00 | 0.75 | 0.89 | 0.89 | 0.46 | 2 | 0 | 0 | 0 | 0 | 6 | 0 | 9 | 154.00 | 0.00 | 0 | 0.00 | 0.00 | 627.00 | 0.00 | 677.00 | 1.70 | 0.00 | 0.0 | 0.00 | 0.00 | 0.65 | 0.00 | 0.50 | 17 | 400 | CH0100037619 | 6 | 06-03 |
| CH0100037620 | 113.00 | 0.77 | 0.57 | 0.80 | 0.05 | 18 | 10 | 0 | 0 | 1 | 31 | 0 | 5 | 1515.00 | 1943.00 | 0 | 0.00 | 97.00 | 4066.00 | 0.00 | 361.00 | 1.00 | 0.58 | 0.0 | 0.00 | 0.70 | 0.70 | 0.00 | 0.60 | 65 | 400 | CH0100037620 | 6 | 06-01 |
| CH0100037621 | 97.00 | 0.59 | 0.99 | 0.98 | 0.55 | 0 | 1 | 0 | 0 | 1 | 14 | 0 | 23 | 0.00 | 63.00 | 0 | 0.00 | 104.00 | 1747.00 | 0.00 | 2358.00 | 0.00 | 0.70 | 0.0 | 0.00 | 0.60 | 0.60 | 0.00 | 0.60 | 39 | 400 | CH0100037621 | 6 | 06-04 |
| CH0100037626 | 107.50 | 0.76 | 0.55 | 0.76 | 0.06 | 10 | 7 | 0 | 1 | 1 | 19 | 0 | 1 | 1063.00 | 825.00 | 0 | 196.00 | 94.00 | 2492.00 | 0.00 | 82.00 | 0.90 | 0.70 | 0.0 | 0.60 | 1.00 | 0.70 | 0.00 | 0.50 | 40 | 400 | CH0100037626 | 6 | 06-01 |
| CH0100037653 | 75.00 | 0.76 | 0.54 | 0.60 | 0.13 | 10 | 0 | 0 | 1 | 0 | 4 | 0 | 2 | 648.00 | 0.00 | 0 | 90.00 | 0.00 | 740.00 | 0.00 | 125.00 | 0.90 | 0.00 | 0.0 | 0.50 | 0.00 | 0.68 | 0.00 | 0.55 | 17 | 400 | CH0100037653 | 6 | 06-06 |
| CH0100037655 | 136.00 | 0.57 | 0.97 | 0.97 | 0.97 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 30.00 | 0.00 | 0 | 0.00 | 0.00 | 0.00 | 0.00 | 1103.00 | 0.60 | 0.00 | 0.0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.50 | 7 | 400 | CH0100037655 | 6 | 06-05 |
| CN0100000057 | 109.00 | 0.00 | 0.00 | 0.00 | 0.00 | 34 | 34 | 0 | 0 | 13 | 23 | 0 | 0 | 3257.00 | 4055.00 | 0 | 0.00 | 1120.00 | 3116.00 | 0.00 | 0.00 | 0.55 | 0.50 | 0.0 | 0.00 | 0.40 | 0.30 | 0.00 | 0.00 | 104 | 400 | CN0100000057 | 5 | 05-02 |
| CN0100000078 | 110.00 | 0.00 | 0.00 | 0.00 | 0.00 | 28 | 34 | 0 | 0 | 20 | 33 | 0 | 0 | 2935.00 | 4603.00 | 0 | 0.00 | 1741.00 | 4379.00 | 0.00 | 0.00 | 0.60 | 0.50 | 0.0 | 0.00 | 0.45 | 0.35 | 0.00 | 0.00 | 117 | 400 | CN0100000078 | 5 | 05-01 |
| CN0100000092 | 127.00 | 0.80 | 1.00 | 1.00 | 0.67 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 4 | 0.00 | 0.00 | 0 | 0.00 | 0.00 | 323.00 | 0.00 | 646.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.80 | 0.00 | 0.80 | 7 | 400 | CN0100000092 | 7 | 07-01 |
| CN0100000115 | 100.00 | 0.58 | 0.42 | 0.72 | 0.00 | 16 | 25 | 0 | 0 | 12 | 20 | 0 | 0 | 1337.00 | 3410.00 | 0 | 0.00 | 991.00 | 2489.00 | 0.00 | 0.00 | 0.60 | 0.60 | 0.0 | 0.00 | 0.30 | 0.40 | 0.00 | 0.00 | 74 | 400 | CN0100000115 | 5 | 05-01 |
| CN0100000175 | 90.00 | 0.58 | 0.66 | 0.71 | 0.00 | 6 | 7 | 0 | 0 | 7 | 13 | 0 | 0 | 413.00 | 925.00 | 0 | 0.00 | 698.00 | 1847.00 | 0.00 | 0.00 | 0.60 | 0.80 | 0.0 | 0.00 | 0.30 | 0.40 | 0.00 | 0.00 | 34 | 400 | CN0100000175 | 5 | 05-01 |
| CN0100000176 | 95.00 | 0.00 | 0.00 | 0.00 | 0.00 | 18 | 8 | 0 | 0 | 3 | 19 | 0 | 0 | 1622.00 | 833.00 | 0 | 0.00 | 129.00 | 2601.00 | 0.00 | 0.00 | 0.65 | 0.65 | 0.0 | 0.00 | 3.30 | 0.30 | 0.00 | 0.00 | 48 | 400 | CN0100000176 | 5 | 05-01 |
| CN0100000180 | 102.00 | 1.03 | 0.50 | 0.80 | 0.00 | 8 | 14 | 0 | 0 | 5 | 19 | 0 | 0 | 731.00 | 2323.00 | 0 | 0.00 | 482.00 | 2511.00 | 0.00 | 0.00 | 0.70 | 0.55 | 0.0 | 0.00 | 0.60 | 0.35 | 0.00 | 0.00 | 47 | 400 | CN0100000180 | 5 | 05-01 |
| CN0100000191 | 105.00 | 0.63 | 0.43 | 0.66 | 0.00 | 29 | 28 | 0 | 0 | 15 | 25 | 0 | 0 | 2814.00 | 3705.00 | 0 | 0.00 | 1066.00 | 3734.00 | 0.00 | 0.00 | 0.60 | 0.80 | 0.0 | 0.00 | 0.35 | 0.30 | 0.00 | 0.00 | 99 | 400 | CN0100000191 | 5 | 05-01 |
| CN0100000416 | 104.00 | 0.81 | 0.95 | 0.95 | 0.50 | 0 | 0 | 0 | 1 | 2 | 10 | 0 | 15 | 0.00 | 0.00 | 0 | 169.00 | 168.00 | 1601.00 | 0.00 | 1591.00 | 0.00 | 0.00 | 0.0 | 0.80 | 0.80 | 0.80 | 0.00 | 0.80 | 28 | 400 | CN0100000416 | 7 | 07-01 |
| CN0100000738 | 112.00 | 0.72 | 1.00 | 0.92 | 0.50 | 0 | 0 | 0 | 0 | 3 | 9 | 0 | 12 | 0.00 | 0.00 | 0 | 0.00 | 241.00 | 1170.00 | 0.00 | 1426.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.80 | 0.80 | 0.00 | 0.80 | 24 | 400 | CN0100000738 | 7 | 07-01 |
| CN0100000744 | 71.50 | 0.83 | 1.00 | 0.95 | 0.70 | 0 | 0 | 0 | 0 | 4 | 3 | 0 | 17 | 0.00 | 0.00 | 0 | 0.00 | 129.00 | 638.00 | 0.00 | 1786.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.80 | 0.80 | 0.00 | 0.80 | 24 | 400 | CN0100000744 | 7 | 07-01 |
| CN0100000757 | 88.00 | 1.12 | 1.00 | 0.98 | 0.48 | 0 | 0 | 0 | 0 | 1 | 8 | 1 | 12 | 0.00 | 0.00 | 0 | 0.00 | 20.00 | 1340.00 | 40.00 | 1191.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.80 | 0.80 | 0.80 | 0.80 | 22 | 400 | CN0100000757 | 7 | 07-01 |
| CN0100000760 | 97.00 | 0.84 | 0.92 | 0.91 | 0.39 | 0 | 1 | 0 | 0 | 4 | 9 | 0 | 9 | 0.00 | 213.00 | 0 | 0.00 | 227.00 | 1103.00 | 0.00 | 968.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.80 | 0.80 | 0.00 | 0.80 | 23 | 400 | CN0100000760 | 7 | 07-01 |
| CN0100001611 | 92.00 | 0.00 | 0.00 | 0.00 | 0.00 | 14 | 24 | 0 | 0 | 20 | 18 | 0 | 0 | 1272.00 | 2594.00 | 0 | 0.00 | 1890.00 | 2086.00 | 0.00 | 0.00 | 0.70 | 0.70 | 0.0 | 0.00 | 0.28 | 0.30 | 0.00 | 0.00 | 76 | 400 | CN0100001611 | 5 | 05-01 |
| CN0100001621 | 107.00 | 0.00 | 0.00 | 0.00 | 0.00 | 19 | 16 | 0 | 0 | 18 | 18 | 0 | 0 | 1681.00 | 1446.00 | 0 | 0.00 | 2043.00 | 2481.00 | 0.00 | 0.00 | 0.60 | 0.60 | 0.0 | 0.00 | 0.30 | 0.30 | 0.00 | 0.00 | 71 | 400 | CN0100001621 | 5 | 05-01 |
| CN0100002233 | 61.00 | 0.00 | 0.00 | 0.00 | 0.00 | 25 | 2 | 0 | 0 | 38 | 7 | 0 | 0 | 1709.00 | 119.00 | 0 | 0.00 | 2234.00 | 376.00 | 0.00 | 0.00 | 0.50 | 0.55 | 0.0 | 0.00 | 0.72 | 0.80 | 0.00 | 0.00 | 72 | 400 | CN0100002233 | 1 | 01-02 |
| CN0100002243 | 72.00 | 1.17 | 0.78 | 0.11 | 0.00 | 17 | 0 | 0 | 0 | 53 | 6 | 0 | 0 | 1333.00 | 0.00 | 0 | 0.00 | 3888.00 | 619.00 | 0.00 | 0.00 | 1.00 | 0.00 | 0.0 | 0.00 | 0.60 | 0.75 | 0.00 | 0.00 | 77 | 400 | CN0100002243 | 1 | 01-02 |
| CN0100002245 | 62.00 | 0.00 | 0.00 | 0.00 | 0.00 | 14 | 3 | 0 | 0 | 79 | 6 | 0 | 0 | 903.00 | 301.00 | 0 | 0.00 | 4963.00 | 401.00 | 0.00 | 0.00 | 0.65 | 0.95 | 0.0 | 0.00 | 0.55 | 0.50 | 0.00 | 0.00 | 103 | 400 | CN0100002245 | 1 | 01-02 |
| CN0100002251 | 52.50 | 0.00 | 0.00 | 0.00 | 0.00 | 7 | 1 | 0 | 0 | 58 | 6 | 0 | 0 | 424.00 | 53.00 | 0 | 0.00 | 3267.00 | 393.00 | 0.00 | 0.00 | 0.50 | 0.50 | 0.0 | 0.00 | 0.50 | 0.50 | 0.00 | 0.00 | 72 | 400 | CN0100002251 | 1 | 01-02 |
| CN0100002596 | 88.00 | 0.75 | 0.86 | 0.96 | 0.55 | 1 | 3 | 0 | 1 | 1 | 8 | 0 | 16 | 36.00 | 279.00 | 0 | 80.00 | 74.03 | 898.00 | 0.00 | 1469.00 | 0.80 | 0.60 | 0.0 | 0.75 | 0.70 | 0.70 | 0.00 | 0.80 | 30 | 400 | CN0100002596 | 6 | 06-03 |
| CN0100002597 | 102.00 | 0.78 | 0.63 | 0.75 | 0.04 | 9 | 5 | 0 | 0 | 1 | 22 | 0 | 3 | 1014.00 | 516.00 | 0 | 0.00 | 105.00 | 2631.00 | 0.00 | 171.00 | 1.00 | 0.40 | 0.0 | 0.00 | 1.00 | 0.70 | 0.00 | 0.50 | 42 | 400 | CN0100002597 | 6 | 06-01 |
| CN0100002598 | 88.00 | 0.58 | 0.81 | 0.87 | 0.27 | 7 | 2 | 0 | 0 | 0 | 12 | 0 | 8 | 369.00 | 168.00 | 0 | 0.00 | 0.00 | 1516.00 | 0.00 | 753.00 | 0.70 | 0.50 | 0.0 | 0.00 | 0.00 | 0.55 | 0.00 | 0.50 | 29 | 400 | CN0100002598 | 6 | 06-04 |
| CN0100002606 | 90.50 | 0.00 | 0.00 | 0.00 | 0.00 | 5 | 4 | 0 | 1 | 1 | 23 | 0 | 17 | 348.00 | 424.00 | 0 | 65.00 | 40.00 | 2662.00 | 0.00 | 1604.00 | 0.80 | 0.82 | 0.0 | 0.50 | 0.50 | 0.50 | 0.00 | 0.50 | 51 | 400 | CN0100002606 | 6 | 06-03 |
| CN0100002607 | 77.00 | 0.69 | 0.81 | 0.89 | 0.39 | 8 | 2 | 0 | 0 | 0 | 11 | 0 | 16 | 392.00 | 265.00 | 0 | 0.00 | 0.00 | 1479.00 | 0.00 | 1363.00 | 1.00 | 1.80 | 0.0 | 0.00 | 0.00 | 0.40 | 0.00 | 0.65 | 37 | 400 | CN0100002607 | 6 | 06-02 |
| CN0100002610 | 79.00 | 0.56 | 0.72 | 0.90 | 0.34 | 8 | 6 | 0 | 0 | 0 | 12 | 0 | 15 | 369.00 | 633.00 | 0 | 0.00 | 0.00 | 1353.00 | 0.00 | 1208.00 | 0.50 | 0.75 | 0.0 | 0.00 | 0.00 | 0.50 | 0.00 | 0.50 | 41 | 400 | CN0100002610 | 6 | 06-02 |
| CN0100002611 | 95.00 | 0.62 | 0.73 | 0.86 | 0.34 | 7 | 1 | 0 | 0 | 0 | 9 | 0 | 10 | 384.00 | 360.00 | 0 | 0.00 | 0.00 | 1121.00 | 0.00 | 942.00 | 0.90 | 1.00 | 0.0 | 0.00 | 0.00 | 0.50 | 0.00 | 0.60 | 27 | 400 | CN0100002611 | 6 | 06-02 |
| CN0100002612 | 55.50 | 0.82 | 0.32 | 0.31 | 0.07 | 83 | 1 | 0 | 0 | 3 | 13 | 0 | 4 | 4682.00 | 100.00 | 0 | 0.00 | 220.00 | 1592.00 | 0.00 | 484.00 | 1.00 | 0.50 | 0.0 | 0.00 | 0.80 | 0.50 | 0.00 | 0.50 | 104 | 400 | CN0100002612 | 6 | 06-06 |
| CN0100002617 | 107.00 | 0.68 | 0.00 | 0.00 | 0.00 | 15 | 4 | 0 | 1 | 0 | 25 | 0 | 3 | 1293.00 | 580.00 | 0 | 67.00 | 0.00 | 3106.00 | 0.00 | 291.00 | 1.00 | 0.65 | 0.0 | 0.50 | 0.00 | 0.50 | 0.00 | 0.50 | 48 | 400 | CN0100002617 | 6 | 06-01 |
| CN0100002618 | 167.50 | 0.55 | 0.95 | 0.96 | 0.86 | 4 | 1 | 0 | 0 | 0 | 4 | 0 | 19 | 162.00 | 45.00 | 0 | 0.00 | 0.00 | 429.00 | 0.00 | 3789.00 | 1.00 | 0.50 | 0.0 | 0.00 | 0.00 | 0.50 | 0.00 | 0.50 | 28 | 400 | CN0100002618 | 6 | 06-05 |
| CN0100002623 | 150.00 | 0.58 | 0.88 | 0.90 | 0.74 | 8 | 1 | 0 | 0 | 1 | 2 | 0 | 18 | 400.00 | 125.00 | 0 | 0.00 | 40.00 | 515.00 | 0.00 | 3139.00 | 0.75 | 0.70 | 0.0 | 0.00 | 0.80 | 0.45 | 0.00 | 0.50 | 30 | 400 | CN0100002623 | 6 | 06-05 |
| CN0100002660 | 120.00 | 0.00 | 0.00 | 0.00 | 0.00 | 19 | 13 | 0 | 0 | 3 | 10 | 0 | 0 | 1814.00 | 2040.00 | 0 | 0.00 | 266.00 | 1588.00 | 0.00 | 0.00 | 0.72 | 0.70 | 0.0 | 0.00 | 0.50 | 0.30 | 0.00 | 0.00 | 46 | 400 | CN0100002660 | 5 | 05-02 |
| CN0100002788 | 117.00 | 0.54 | 0.48 | 0.77 | 0.00 | 19 | 29 | 0 | 0 | 10 | 33 | 0 | 0 | 1870.00 | 4050.00 | 0 | 0.00 | 802.00 | 4754.00 | 0.00 | 0.00 | 0.70 | 0.70 | 0.0 | 0.00 | 0.30 | 0.30 | 0.00 | 0.00 | 91 | 400 | CN0100002788 | 5 | 05-02 |
| CN0100002796 | 112.50 | 0.53 | 0.00 | 0.00 | 0.00 | 18 | 19 | 0 | 0 | 15 | 17 | 0 | 0 | 1689.00 | 2814.00 | 0 | 0.00 | 1330.00 | 2417.00 | 0.00 | 0.00 | 0.60 | 0.50 | 0.0 | 0.00 | 0.30 | 0.25 | 0.00 | 0.00 | 71 | 400 | CN0100002796 | 5 | 05-02 |
| CN0100003913 | 80.00 | 0.35 | 1.00 | 0.77 | 0.01 | 0 | 1 | 0 | 0 | 24 | 51 | 0 | 1 | 0.00 | 22.00 | 0 | 0.00 | 1673.00 | 5474.00 | 0.00 | 56.00 | 0.00 | 0.35 | 0.0 | 0.00 | 0.35 | 0.35 | 0.00 | 0.00 | 77 | 400 | CN0100003913 | 10 | 10-01 |
| CN0100003919 | 70.00 | 0.35 | 1.00 | 1.00 | 0.39 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 6 | 0.00 | 0.00 | 0 | 0.00 | 0.00 | 820.00 | 0.00 | 526.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.35 | 0.00 | 0.35 | 17 | 400 | CN0100003919 | 10 | 10-02 |
| CN0100003923 | 67.00 | 0.37 | 1.00 | 0.65 | 0.05 | 0 | 0 | 0 | 0 | 38 | 39 | 3 | 3 | 0.00 | 0.00 | 0 | 0.00 | 2059.00 | 3693.00 | 100.00 | 231.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.35 | 0.35 | 0.35 | 0.35 | 84 | 400 | CN0100003923 | 10 | 10-01 |
| CN0100003924 | 78.00 | 0.35 | 1.00 | 0.90 | 0.34 | 0 | 0 | 0 | 0 | 13 | 41 | 0 | 23 | 0.00 | 0.00 | 0 | 0.00 | 647.00 | 3590.00 | 0.00 | 2153.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.35 | 0.35 | 0.00 | 0.35 | 77 | 400 | CN0100003924 | 10 | 10-02 |
| CN0100003952 | 76.50 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | 0 | 25 | 47 | 0 | 3 | 0.00 | 0.00 | 0 | 0.00 | 58.00 | 3449.00 | 0.00 | 206.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.35 | 0.35 | 0.00 | 0.35 | 77 | 400 | CN0100003952 | 10 | 10-01 |
| CN0100003953 | 72.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | 0 | 25 | 62 | 0 | 35 | 0.00 | 0.00 | 0 | 0.00 | 710.00 | 6059.00 | 0.00 | 3019.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.35 | 0.35 | 0.00 | 0.35 | 122 | 400 | CN0100003953 | 10 | 10-02 |
| CN0100004959 | 108.00 | 0.35 | 1.00 | 1.00 | 0.00 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00 | 0.00 | 0 | 0.00 | 0.00 | 108.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.35 | 0.00 | 0.00 | 1 | 400 | CN0100004959 | 10 | 10-01 |
| CN0100004970 | 69.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | 0 | 7 | 30 | 0 | 25 | 0.00 | 0.00 | 0 | 0.00 | 339.00 | 2513.00 | 0.00 | 2103.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.35 | 0.35 | 0.00 | 0.35 | 62 | 400 | CN0100004970 | 10 | 10-02 |
| CN0100005013 | 73.00 | 0.69 | 0.74 | 0.92 | 0.28 | 5 | 4 | 1 | 0 | 0 | 11 | 0 | 7 | 126.00 | 437.00 | 85 | 0.00 | 0.00 | 1237.00 | 0.00 | 621.00 | 1.00 | 0.60 | 0.5 | 0.00 | 0.00 | 0.70 | 0.00 | 0.60 | 28 | 400 | CN0100005013 | 6 | 06-02 |
| CN0100005015 | 85.00 | 0.42 | 0.87 | 0.87 | 0.14 | 3 | 0 | 0 | 0 | 0 | 8 | 0 | 2 | 151.00 | 0.00 | 0 | 0.00 | 0.00 | 872.00 | 0.00 | 170.00 | 0.70 | 0.00 | 0.0 | 0.00 | 0.00 | 0.40 | 0.00 | 0.48 | 13 | 400 | CN0100005015 | 6 | 06-02 |
| CN0100005019 | 60.00 | 0.77 | 0.30 | 0.33 | 0.12 | 96 | 3 | 0 | 1 | 0 | 14 | 0 | 7 | 5767.00 | 154.00 | 0 | 100.00 | 0.00 | 1606.00 | 0.00 | 982.00 | 0.90 | 0.50 | 0.0 | 0.50 | 0.00 | 0.55 | 0.00 | 0.40 | 123 | 400 | CN0100005019 | 6 | 06-06 |
| CN0100005020 | 157.00 | 0.66 | 0.94 | 0.99 | 0.85 | 1 | 0 | 0 | 1 | 0 | 2 | 0 | 13 | 35.00 | 0.00 | 0 | 150.00 | 0.00 | 439.00 | 0.00 | 2468.00 | 1.60 | 0.00 | 0.0 | 0.80 | 0.00 | 0.60 | 0.00 | 0.70 | 17 | 400 | CN0100005020 | 6 | 06-05 |
| CN0100005258 | 69.00 | 2.92 | 0.85 | 0.03 | 0.00 | 1 | 1 | 0 | 0 | 9 | 0 | 0 | 0 | 110.00 | 29.00 | 0 | 0.00 | 753.00 | 0.00 | 0.00 | 0.00 | 0.50 | 0.80 | 0.0 | 0.00 | 1.00 | 0.00 | 0.00 | 0.00 | 12 | 400 | CN0100005258 | 1 | 01-01 |
| CN0100005259 | 59.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2 | 0 | 0 | 0 | 42 | 2 | 0 | 0 | 120.00 | 0.00 | 0 | 0.00 | 2795.00 | 181.00 | 0.00 | 0.00 | 0.50 | 0.00 | 0.0 | 0.00 | 0.50 | 0.75 | 0.00 | 0.00 | 46 | 400 | CN0100005259 | 1 | 01-01 |
| CN0100005260 | 57.00 | 0.00 | 0.00 | 0.00 | 0.00 | 10 | 2 | 0 | 0 | 37 | 4 | 0 | 0 | 499.00 | 154.00 | 0 | 0.00 | 2383.00 | 299.00 | 0.00 | 0.00 | 0.60 | 0.60 | 0.0 | 0.00 | 0.50 | 0.65 | 0.00 | 0.00 | 53 | 400 | CN0100005260 | 1 | 01-01 |
| CN0100005261 | 67.00 | 0.00 | 0.00 | 0.00 | 0.00 | 7 | 0 | 0 | 0 | 32 | 6 | 0 | 0 | 544.00 | 0.00 | 0 | 0.00 | 1912.00 | 477.00 | 0.00 | 0.00 | 0.60 | 0.00 | 0.0 | 0.00 | 0.50 | 0.60 | 0.00 | 0.00 | 45 | 400 | CN0100005261 | 1 | 01-01 |
| CN0100005280 | 59.00 | 0.64 | 0.86 | 0.16 | 0.00 | 5 | 1 | 0 | 0 | 39 | 6 | 0 | 0 | 342.00 | 84.00 | 0 | 0.00 | 2275.00 | 397.00 | 0.00 | 0.00 | 0.90 | 1.50 | 0.0 | 0.00 | 0.50 | 0.45 | 0.00 | 0.00 | 51 | 400 | CN0100005280 | 1 | 01-01 |
| CN0100005281 | 70.00 | 0.60 | 0.80 | 0.09 | 0.00 | 8 | 2 | 0 | 0 | 31 | 2 | 0 | 0 | 561.00 | 143.00 | 0 | 0.00 | 2575.00 | 161.00 | 0.00 | 0.00 | 0.55 | 0.88 | 0.0 | 0.00 | 0.50 | 0.65 | 0.00 | 0.00 | 43 | 400 | CN0100005281 | 1 | 01-01 |
| CN0100010502 | 60.50 | 0.85 | 0.33 | 0.35 | 0.10 | 61 | 2 | 0 | 0 | 0 | 13 | 0 | 6 | 3715.00 | 132.00 | 0 | 0.00 | 0.00 | 1279.00 | 0.00 | 601.00 | 1.00 | 0.70 | 0.0 | 0.00 | 0.00 | 0.50 | 0.00 | 0.65 | 82 | 400 | CN0100010502 | 6 | 06-06 |
| CN0100010503 | 65.00 | 0.84 | 0.18 | 0.37 | 0.03 | 17 | 5 | 0 | 0 | 0 | 4 | 0 | 1 | 1196.00 | 354.00 | 0 | 0.00 | 0.00 | 286.00 | 0.00 | 65.00 | 1.00 | 0.50 | 0.0 | 0.00 | 0.00 | 1.00 | 0.00 | 1.00 | 27 | 400 | CN0100010503 | 6 | 06-06 |
| CN0100011500 | 130.12 | 0.49 | 0.93 | 0.82 | 0.15 | 0 | 0 | 0 | 0 | 14 | 21 | 0 | 5 | 0.00 | 0.00 | 0 | 0.00 | 1052.27 | 3741.67 | 0.00 | 911.88 | 0.00 | 0.00 | 0.0 | 0.00 | 0.32 | 0.30 | 0.00 | 0.30 | 44 | 400 | CN0100011500 | 4 | 04-06 |
Clustering
a <- scale(agcs[model_columns])
d <- dist(a, method = "euclidean")
clsize <- 20
agcs$cluster.nn.min <-
fixed_size_clustering_nearest_neighbor(d, size = clsize, method = "min")
agcs$cluster.hc.wardD2 <-
fixed_size_clustering_hclust(d, size = clsize, method = "ward.D2")
agcs$cluster.km.rst.rng <-
fixed_size_clustering_kmeans(a, size = clsize, method = "range")
agcs$cluster.km.std <-
kmeans(a, ceiling(nrow(a) / clsize))$cluster
cols <- viridisLite::viridis(max(agcs$cluster.nn.min))
library("pvclust")
pv <- pvclust(
t(a), method.hclust = "ward.D2", method.dist = "euclidean",
nboot = 100,
quiet = TRUE
)
pvd <- as.dendrogram(pv)
par(mar = c(12, 2, 2, 1))
plot(pvd)
text(pv)
cls <- cbind(
nn.min = agcs$cluster.nn.min,
km.rst.rng = agcs$cluster.km.rst.rng,
km.std = agcs$cluster.km.std,
hc.wardD2 = agcs$cluster.hc.wardD2
)
cls[] <- cols[cls]
colored_bars(cls, pvd)
colored_bars(
cbind(
center = agcs$center,
or.id = match(agcs$or, unique(agcs$or))
),
pvd, y_shift = -3.5
)
wss <- sapply(
list(
nn.min = agcs$cluster.nn.min,
km.rst.rng = agcs$cluster.km.rst.rng,
km.std = agcs$cluster.km.std,
hc.wardD2 = agcs$cluster.hc.wardD2
),
within_cluster_sum_of_squares, x = a
)
tss <- total_sum_of_squares(a)
col <- seq_len(ncol(wss))
barplot(
t(wss), col = col, beside = TRUE,
main = "Within cluster sum of squares"
)
legend("topright", legend = colnames(wss), col = col, pch = 15)
barplot(
1 - colSums(wss) / tss, col = col, horiz = TRUE,
main = "Between/Total sum of squares"
)
legend(
"bottomright",
legend = colnames(wss),
col = col, pch = 15,
bty = "n"
)
Lineare Regression
Behalte nur Filter mit 20 Filtern pro Gruppe.
keep <-
agcs$cluster.hc.wardD2 %in% which(table(agcs$cluster.hc.wardD2) == clsize)
table(keep)## keep
## FALSE TRUE
## 15 100##
## Call:
## lm(formula = weight ~ 0 + n.cases.lama.nonlap.tiva + n.cases.tube.nonlap.tiva +
## n.cases.tube.lap.tiva + n.cases.lama.nonlap.inha + n.cases.tube.nonlap.inha +
## n.cases.tube.lap.inha + sum.dura.lama.nonlap.tiva + sum.dura.tube.nonlap.tiva +
## sum.dura.tube.lap.tiva + sum.dura.lama.nonlap.inha + sum.dura.tube.nonlap.inha +
## sum.dura.tube.lap.inha + med.flow.lama.nonlap.tiva + med.flow.tube.nonlap.tiva +
## med.flow.tube.lap.tiva + med.flow.lama.nonlap.inha + med.flow.tube.nonlap.inha +
## med.flow.tube.lap.inha, data = agcs[keep, ])
##
## Residuals:
## Min 1Q Median 3Q Max
## -192.41 -39.16 22.15 61.59 333.37
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## n.cases.lama.nonlap.tiva -0.042444 4.086557 -0.010 0.991738
## n.cases.tube.nonlap.tiva -7.304116 5.120712 -1.426 0.157553
## n.cases.tube.lap.tiva -6.295621 33.711732 -0.187 0.852319
## n.cases.lama.nonlap.inha -0.784985 2.907630 -0.270 0.787858
## n.cases.tube.nonlap.inha 7.188707 1.895882 3.792 0.000285 ***
## n.cases.tube.lap.inha -0.255127 2.038986 -0.125 0.900731
## sum.dura.lama.nonlap.tiva -0.002063 0.070092 -0.029 0.976589
## sum.dura.tube.nonlap.tiva 0.090652 0.045058 2.012 0.047514 *
## sum.dura.tube.lap.tiva -0.238829 0.253880 -0.941 0.349614
## sum.dura.lama.nonlap.inha 0.045593 0.045539 1.001 0.319687
## sum.dura.tube.nonlap.inha -0.045278 0.014114 -3.208 0.001908 **
## sum.dura.tube.lap.inha 0.005745 0.009286 0.619 0.537866
## med.flow.lama.nonlap.tiva -3.017055 7.067105 -0.427 0.670560
## med.flow.tube.nonlap.tiva 55.046043 22.806095 2.414 0.018021 *
## med.flow.tube.lap.tiva 46.789788 34.850073 1.343 0.183106
## med.flow.lama.nonlap.inha 54.199162 26.165970 2.071 0.041469 *
## med.flow.tube.nonlap.inha 438.517041 58.406305 7.508 6.53e-11 ***
## med.flow.tube.lap.inha 127.477238 59.321182 2.149 0.034588 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 100.8 on 82 degrees of freedom
## Multiple R-squared: 0.9479, Adjusted R-squared: 0.9364
## F-statistic: 82.85 on 18 and 82 DF, p-value: < 2.2e-16Penalized Regression
y <- agcs[keep, "weight"]
X <- model.matrix(
weight ~ 0 +
n.cases.lama.nonlap.tiva +
n.cases.tube.nonlap.tiva +
n.cases.tube.lap.tiva +
n.cases.lama.nonlap.inha +
n.cases.tube.nonlap.inha +
n.cases.tube.lap.inha +
sum.dura.lama.nonlap.tiva +
sum.dura.tube.nonlap.tiva +
sum.dura.tube.lap.tiva +
sum.dura.lama.nonlap.inha +
sum.dura.tube.nonlap.inha +
sum.dura.tube.lap.inha +
med.flow.lama.nonlap.tiva +
med.flow.tube.nonlap.tiva +
med.flow.tube.lap.tiva +
med.flow.lama.nonlap.inha +
med.flow.tube.nonlap.inha +
med.flow.tube.lap.inha,
data = agcs[keep, ]
)
## TODO: replace y with measured weight and drop `jitter` call (just used to
## avoid error about constant y)
Y <- jitter(y)
## TODO: increase nrepcv and nfolds for final calculations
## number of repeated cv for model estimation
nrepcv <- 2
## number of cv folds for model estimation
nfolds <- 5
## number of repeated cv for mse estimation (authors of nested_cv suggest at
## least 50)
mse.nrepcv <- 5
## number of cv folds for mse estimation
mse.nfolds <- 5
## percentage of training data
ptrain <- 0.8
## helper functions
se_loss_rcv.glmnet <- function(y1, y2, funcs_params = NULL) {
(y1 - y2)^2
}
fitter_rcv.glmnet <- function(X, Y, idx = seq_len(nrow(X)), funcs_params = NULL) {
rcv.glmnet(
X[idx, ], Y[idx],
lambda = funcs_params$lambda,
alpha = funcs_params$alpha,
intercept = funcs_params$intercept,
nfolds = funcs_params$nfolds,
nrepcv = funcs_params$nrepcv
)
}
predictor_rcv.glmnet <- function(fit, X_new, funcs_params = NULL) {
predict(fit, X_new, s = funcs_params$s)
}
funcs_rcv.glmnet <- list(
fitter = fitter_rcv.glmnet,
predictor = predictor_rcv.glmnet,
loss = se_loss_rcv.glmnet
)
params <- list(
alpha = 1,
s = "lambda.1se",
intercept = FALSE,
nfolds = nfolds,
nrepcv = nrepcv
)
set.seed(1)
nr <- nrow(X)
ntrain <- ceiling(nr * ptrain)
train_idx <- sample(seq_len(nr), ntrain, replace = FALSE)
test_idx <- setdiff(seq_len(nr), train_idx)
X_train <- X[train_idx, ]
Y_train <- Y[train_idx]
## fit once to keep lambda/best lambda fixed
fit <- funcs_rcv.glmnet$fitter(X_train, Y_train, funcs_params = params)
params$lambda <- fit$lambda
params$lambda.min <- fit$lambda.min
out <- nested_cv(
X_train, Y_train,
funcs = funcs_rcv.glmnet,
n_folds = mse.nfolds,
reps = mse.nrepcv,
n_cores = parallel::detectCores(),
funcs_params = params,
alpha = 0.05
)
out[["ho_err"]] <- mean(funcs_rcv.glmnet$loss(
funcs_rcv.glmnet$predictor(fit, X[test_idx, ], funcs_params = params),
Y[test_idx],
funcs_params = params
))
out## $sd_infl
## [1] 2.05594
##
## $err_hat
## [1] 12117.75
##
## $ci_lo
## [1] 2675.213
##
## $ci_hi
## [1] 21560.3
##
## $raw_mean
## [1] 16126.8
##
## $bias_est
## [1] 4009.044
##
## $sd
## [1] 20959.23
##
## $running_sd_infl
## [1] 2.234049 1.629108 1.310869 2.368953 2.055940
##
## $ho_err
## [1] 21990.32# RMSE
sqrt(c(out$err_hat, out$ho_err))## [1] 110.0807 148.2913knitr::kable(
cbind(
as.matrix(coef(fit, s = "lambda.1se")),
as.matrix(coef(fit, s = "lambda.min"))[, 1]
),
col.names = c("variable", "s, lambda.1se", "s, lambda.min")
)| variable | s, lambda.1se | s, lambda.min |
|---|---|---|
| (Intercept) | 0.0000000 | 0.0000000 |
| n.cases.lama.nonlap.tiva | 0.0000000 | 0.0000000 |
| n.cases.tube.nonlap.tiva | 0.4214514 | 0.1315508 |
| n.cases.tube.lap.tiva | 0.0000000 | 0.0000000 |
| n.cases.lama.nonlap.inha | 0.3769085 | 1.6238570 |
| n.cases.tube.nonlap.inha | 0.7961580 | 1.1750376 |
| n.cases.tube.lap.inha | 0.0000000 | 0.2915502 |
| sum.dura.lama.nonlap.tiva | 0.0000000 | 0.0000000 |
| sum.dura.tube.nonlap.tiva | 0.0000000 | 0.0172158 |
| sum.dura.tube.lap.tiva | 0.0000000 | 0.0000000 |
| sum.dura.lama.nonlap.inha | 0.0000000 | 0.0000000 |
| sum.dura.tube.nonlap.inha | 0.0000000 | 0.0000000 |
| sum.dura.tube.lap.inha | 0.0000000 | 0.0000000 |
| med.flow.lama.nonlap.tiva | 0.0000000 | 0.0000000 |
| med.flow.tube.nonlap.tiva | 14.0615461 | 32.8824082 |
| med.flow.tube.lap.tiva | 0.0000000 | 0.0000000 |
| med.flow.lama.nonlap.inha | 0.0000000 | 41.7585752 |
| med.flow.tube.nonlap.inha | 650.7237702 | 572.9804087 |
| med.flow.tube.lap.inha | 0.0000000 | 0.0000000 |
plot(fit)
plot(fit, "path")