Übersicht/Clustering/Modelierung
Letzte Aktualisierung: 2024-09-24 10:19:27
Gesamtübersicht
Übersicht über CONTRAfluran-Filter
| median.duration | mean.flow | mean.balanced.anaesthesia | mean.airway | mean.laparoscopic | 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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CH0100022340 | 97.22 | 0.68 | 0.98 | 0.84 | 0.14 | 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 | 0.00 | 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 | 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 | 0.00 | 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 | 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 | 0.00 | 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 | 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 | 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 | 89.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0 | 0.00 | 0.00 | 894.00 | 0.00 | 204.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.30 | 0.00 | 0.30 | 9 | 400 | CH0100026809 | 11 | 11-01 |
| CH0100027253 | 95.00 | 0.33 | 0.92 | 0.84 | 0.03 | 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 | 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 |
| CH0100027403 | 93.00 | 0.34 | 0.90 | 0.58 | 0.03 | 479.00 | 0.00 | 0 | 0.00 | 1499.00 | 2548.00 | 0.00 | 130.00 | 0.30 | 0.00 | 0.0 | 0.00 | 0.30 | 0.30 | 0.00 | 0.30 | 51 | 400 | CH0100027403 | 11 | 11-02 |
| CH0100027412 | 63.00 | 0.33 | 0.98 | 0.90 | 0.31 | 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 |
| CH0100031555 | 164.00 | 0.68 | 0.85 | 0.85 | 0.00 | 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 | 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 | 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 | 75.50 | 0.50 | 0.97 | 1.00 | 0.00 | 0.00 | 55.00 | 0 | 0.00 | 0.00 | 1663.00 | 0.00 | 0.00 | 0.00 | 0.50 | 0.0 | 0.00 | 0.00 | 0.50 | 0.00 | 0.00 | 22 | 400 | CH0100034686 | 12 | 12-01 |
| CH0100034687 | 86.00 | 0.00 | 0.00 | 0.00 | 0.00 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 0.00 | 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 | 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 | 71.13 | 0.79 | 0.89 | 0.82 | 0.00 | 49.60 | 363.17 | 0 | 0.00 | 637.88 | 2824.83 | 0.00 | 0.00 | 2.00 | 3.00 | 0.0 | 0.00 | 0.55 | 0.30 | 0.00 | 0.00 | 45 | 400 | CH0100037286 | 4 | 04-02 |
| CH0100037288 | 54.18 | 0.90 | 0.79 | 0.44 | 0.00 | 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 | 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 | 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 | 0.00 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 0.00 | 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 | 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 | 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 | 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 | 124.00 | 0.65 | 0.08 | 0.59 | 0.00 | 683.00 | 829.00 | 0 | 0.00 | 0.00 | 139.00 | 0.00 | 0.00 | 0.60 | 0.70 | 0.0 | 0.00 | 0.00 | 0.30 | 0.00 | 0.00 | 13 | 400 | CN0100000057 | 5 | 05-02 |
| CN0100000078 | 111.00 | 0.47 | 0.48 | 0.68 | 0.00 | 609.00 | 745.00 | 0 | 0.00 | 181.00 | 945.00 | 0.00 | 0.00 | 0.50 | 0.60 | 0.0 | 0.00 | 0.25 | 0.30 | 0.00 | 0.00 | 23 | 400 | CN0100000078 | 5 | 05-01 |
| CN0100000092 | 127.00 | 0.80 | 1.00 | 1.00 | 0.67 | 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 | 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 |
| CN0100000176 | 95.00 | 0.00 | 0.00 | 0.00 | 0.00 | 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 | 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 |
| CN0100000416 | 104.00 | 0.81 | 0.95 | 0.95 | 0.50 | 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 | 0.00 | 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 | 0.00 | 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 | 0.00 | 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 | 0.00 | 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 | 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 | 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 |
| CN0100002245 | 62.00 | 0.00 | 0.00 | 0.00 | 0.00 | 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 | 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 | 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 |
| CN0100002598 | 88.00 | 0.58 | 0.81 | 0.87 | 0.27 | 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 | 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 | 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 | 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 | 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 |
| CN0100002617 | 108.50 | 0.68 | 0.00 | 0.00 | 0.00 | 1203.00 | 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 | 47 | 400 | CN0100002617 | 6 | 06-01 |
| CN0100002618 | 167.50 | 0.55 | 0.95 | 0.96 | 0.86 | 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 | 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 | 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 | 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 | 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 | 0.00 | 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 |
| CN0100003924 | 83.50 | 0.35 | 1.00 | 0.88 | 0.37 | 0.00 | 0.00 | 0 | 0.00 | 594.00 | 2558.00 | 0.00 | 1856.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.35 | 0.35 | 0.00 | 0.35 | 58 | 400 | CN0100003924 | 10 | 10-02 |
| CN0100003952 | 55.00 | 0.35 | 1.00 | 1.00 | 0.00 | 0.00 | 0.00 | 0 | 0.00 | 0.00 | 55.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.00 | 0.00 | 0.35 | 0.00 | 0.00 | 1 | 400 | CN0100003952 | 10 | 10-01 |
| CN0100005013 | 73.00 | 0.69 | 0.74 | 0.92 | 0.28 | 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 | 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 | 0.78 | 0.29 | 0.32 | 0.10 | 5499.00 | 154.00 | 0 | 100.00 | 0.00 | 1606.00 | 0.00 | 731.00 | 0.90 | 0.50 | 0.0 | 0.50 | 0.00 | 0.55 | 0.00 | 0.50 | 116 | 400 | CN0100005019 | 6 | 06-06 |
| CN0100005020 | 157.00 | 0.66 | 0.94 | 0.99 | 0.85 | 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 | 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 | 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 | 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 |
| CN0100005280 | 59.00 | 0.64 | 0.86 | 0.16 | 0.00 | 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 | 64.50 | 0.80 | 0.71 | 0.00 | 0.00 | 238.00 | 0.00 | 0 | 0.00 | 578.00 | 0.00 | 0.00 | 0.00 | 0.50 | 0.00 | 0.0 | 0.00 | 0.50 | 0.00 | 0.00 | 0.00 | 12 | 400 | CN0100005281 | 1 | 01-01 |
| CN0100011500 | 130.12 | 0.49 | 0.93 | 0.82 | 0.15 | 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",
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
| x | |
|---|---|
| sum.dura.lama.nonlap.tiva | 0.0123937 |
| sum.dura.tube.nonlap.tiva | 0.0274126 |
| sum.dura.tube.lap.tiva | -0.2865754 |
| sum.dura.lama.nonlap.inha | 0.0418444 |
| sum.dura.tube.nonlap.inha | 0.0072944 |
| sum.dura.tube.lap.inha | 0.0010314 |
| med.flow.lama.nonlap.tiva | -0.1720953 |
| med.flow.tube.nonlap.tiva | 49.8276562 |
| med.flow.tube.lap.tiva | 41.9632588 |
| med.flow.lama.nonlap.inha | 39.6347215 |
| med.flow.tube.nonlap.inha | 494.4888322 |
| med.flow.tube.lap.inha | 82.7069784 |
Penalized Regression
y <- agcs[, "weight"]
x <- model.matrix(
weight ~ 0 +
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
)
## TODO: replace y with measured weight and drop `jitter` call (just used to
## avoid error about constant y)
m <- rcv.glmnet(
y = jitter(y), x = x, intercept = FALSE,
nrepcv = 100, nfolds = 10
)
knitr::kable(
cbind(
as.matrix(coef(m, s = "lambda.1se")),
as.matrix(coef(m, 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 |
| sum.dura.lama.nonlap.tiva | 0.0000000 | 0.0021910 |
| sum.dura.tube.nonlap.tiva | 0.0000000 | 0.0145076 |
| sum.dura.tube.lap.tiva | 0.0000000 | 0.0000000 |
| sum.dura.lama.nonlap.inha | 0.0078374 | 0.0239662 |
| sum.dura.tube.nonlap.inha | 0.0020837 | 0.0058369 |
| sum.dura.tube.lap.inha | 0.0000000 | 0.0000000 |
| med.flow.lama.nonlap.tiva | 0.0000000 | 0.0000000 |
| med.flow.tube.nonlap.tiva | 26.3822295 | 40.4007870 |
| med.flow.tube.lap.tiva | 0.0000000 | 0.0000000 |
| med.flow.lama.nonlap.inha | 8.0073621 | 36.4727564 |
| med.flow.tube.nonlap.inha | 645.6733026 | 588.7837970 |
| med.flow.tube.lap.inha | 0.0000000 | 0.0000000 |
plot(m)
plot(m, "path")