Python 在GLM中使用因子时的运行时警告
因此，我尝试使用Python 在GLM中使用因子时的运行时警告,python,statsmodels,glm,Python,Statsmodels,Glm,因此，我尝试使用statsmodels包中的glm函数来创建一个logit模型。我的响应变量是，是的，二进制，但我也有至少一个二进制自变量。但是，如果我运行该函数： full_model = sm.GLM(y_var, x_vars, family=sm.families.Binomial()) 我得到了大量的运行时警告，比如被零除等，当二进制变量中有大量的零，并且不能正确使用它们时，这是有意义的 我也试着把它们变成虚拟变量（预测变量和响应变量），并给它们不同的类型。但是我一直收到这个Runt
statsmodelsglmfull_model = sm.GLM(y_var, x_vars, family=sm.families.Binomial())
运行时警告0 71.854894 0 136.100006 55.000000 102.699997 7960.503626 7854.028146 7737.106918 7595.023565 7428.387039 1472.9 24.763004 22.534969 20.631284 18.85136 17.457321 15.520547 13.891387 12.233356 10.555192 8.790123 6.763984 4.607102 0.711363 7442.761158 7195.556908 6977.023668 6777.391449 6592.152960 6418.675354 6255.194055 6100.422739 5953.371137 5813.247705 5679.402249 5551.289539 5428.444875 5310.466963 5197.005474 5087.751755 4982.431722 4880.800317 4782.637117 4687.742801 4595.936264 4507.052257 4420.939405 4337.458560 4256.481399 4177.889232 4101.571983 4027.427307 3955.359824 3885.280457 3817.105847 3750.757836 3686.163018 3623.252333 3561.960711 3502.226753 3443.992441 3387.202882 3331.806077 3277.752710 3224.995957 3173.491315 3123.196442 3074.071018 3026.076610 2979.176552 2933.335836 2888.521012 2844.700089 8051.890149 7981.638185 7936.575350 7892.762733 7838.433780 1981.0 31.718171 29.754665 28.013222 26.35466 25.023021 23.062876 21.231111 19.163032 17.01686 14.726892 12.022372 9.310275 1.721343 7568.386177 7369.515308 7192.308043 7028.905753 6875.960511 6731.599473 6594.587551 6464.024622 6339.212588 6219.587813 6104.682670 5994.101598 5887.505120 5784.598573 5685.123820 5588.852953 5495.583395 5405.134005 5317.341943 5232.060108 5149.155022 5068.505072 4989.999036 4913.534831 4839.018460 4766.363101 4695.488330 4626.319451 4558.786912 4492.825797 4428.375384 4365.378752 4303.782442 4243.536149 4184.592458 4126.906599 4070.436237 4015.141278 3960.983699 3907.927392 3855.938027 3804.982920 3755.030927 3706.052331 3658.018754 3610.903067 3564.679310 3519.322625 3474.809183 1
1 64.016427 0 56.700001 30.000000 44.200001 7718.060323 7569.869004 7378.936202 7218.383987 7029.767932 1372.0 23.668700 21.527400 19.622000 17.80980 16.509900 14.423000 12.795400 11.136300 9.400300 7.323360 5.069140 2.371360 0.152129 7240.267261 6975.551113 6747.030573 6541.940178 6354.011208 6179.602084 6016.344876 5862.575653 5717.058459 5578.836682 5447.146285 5321.361819 5200.961074 5085.500946 4974.600378 4867.927944 4765.192590 4666.136578 4570.530006 4478.166486 4388.859690 4302.440545 4218.754942 4137.661833 4059.031644 3982.744942 3908.691298 3836.768319 3766.880816 3698.940084 3632.863271 3568.572839 3505.996076 3445.064674 3385.714359 3327.884548 3271.518062 3216.560853 3162.961767 3110.672330 3059.646550 3009.840748 2961.213392 2913.724954 2867.337776 2822.015955 2777.725221 2734.432847 2692.107548 7814.763327 7711.519268 7638.616216 7528.455120 7443.697472 1582.0 25.839000 23.908400 22.202500 20.58880 19.392000 17.506300 15.994600 14.469200 12.84550 10.952300 8.446470 4.345920 0.286673 7330.461737 7101.679657 6903.731904 6724.763448 6559.264268 6404.204170 6257.704351 6118.493547 5985.653488 5858.486960 5736.443742 5619.076261 5506.011586 5396.932925 5291.566933 5189.674696 5091.045148 4995.490137 4902.840648 4812.943851 4725.660750 4640.864297 4558.437838 4478.273839 4400.272811 4324.342408 4250.396663 4178.355325 4108.143296 4039.690132 3972.929623 3907.799407 3844.240642 3782.197714 3721.617974 3662.451504 3604.650914 3548.171150 3492.969332 3439.004595 3386.237958 3334.632197 3284.151733 3234.762523 3186.431975 3139.128853 3092.823200 3047.486267 3003.090443 0
2 52.082136 0 66.000000 31.299999 58.799999 7864.714237 7810.087141 7757.977675 7715.276756 7637.901408 1580.1 25.910900 24.044500 22.395600 20.82330 19.643000 17.820500 16.352500 14.839000 13.185800 11.345700 9.249000 6.220300 0.034828 7370.859234 7167.828110 6982.879843 6810.848050 6649.092603 6495.960281 6350.295534 6211.234013 6078.098943 5950.342701 5827.511038 5709.219778 5595.138900 5484.981245 5378.494257 5275.453778 5175.659299 5078.930237 4985.102990 4894.028558 4805.570610 4719.603886 4636.012865 4554.690653 4475.538034 4398.462661 4323.378365 4250.204553 4178.865684 4109.290817 4041.413201 3975.169928 3910.501614 3847.352117 3785.668289 3725.399751 3666.498688 3608.919665 3552.619465 3497.556935 3443.692850 3390.989786 3339.412009 3288.925364 3239.497187 3191.096205 3143.692465 3097.257250 3051.763013 7907.794451 7865.835586 7836.004432 7813.166391 7786.353388 2017.7 31.683700 29.714000 27.921900 26.25230 25.065800 23.244100 21.863900 20.433100 18.86250 17.053500 14.860600 11.274700 0.075046 7469.083502 7303.984989 7152.251060 7009.746928 6874.493378 6745.306283 6621.384579 6502.143043 6387.131141 6275.988587 6168.418838 6064.172216 5963.034622 5864.819677 5769.363083 5676.518453 5586.154177 5498.151004 5412.400153 5328.801813 5247.263944 5167.701287 5090.034564 5014.189797 4940.097751 4867.693450 4796.915771 4727.707088 4660.012968 4593.781902 4528.965073 4465.516143 4403.391072 4342.547950 4282.946848 4224.549688 4167.320116 4111.223393 4056.226298 4002.297031 3949.405131 3897.521397 3846.617818 3796.667503 3747.644624 3699.524357 3652.282825 3605.897056 3560.344933 0
3 65.147159 0 136.600006 55.500000 39.099998 7985.965144 7944.275162 7884.037736 7797.781457 7675.671449 1383.1 22.286700 20.622800 19.144200 17.80080 16.727300 15.244900 13.974700 12.685900 11.342500 9.890590 8.270390 6.134150 0.673057 7467.241438 7252.805471 7055.259808 6870.563045 6696.395519 6531.220735 6373.929869 6223.675715 6079.784200 5941.702670 5808.967502 5681.182678 5558.004994 5439.133460 5324.301480 5213.270935 5105.827612 5001.777595 4900.944390 4803.166583 4708.295923 4616.195725 4526.739535 4439.810000 4355.297908 4273.101358 4193.125044 4115.279641 4039.481255 3965.650953 3893.714336 3823.601170 3755.245053 3688.583116 3623.555760 3560.106415 3498.181325 3437.729349 3378.701786 3321.052214 3264.736341 3209.711867 3155.938368 3103.377176 3051.991274 3001.745206 2952.604979 2904.537990 2857.512942 8011.294804 7989.655465 7974.889673 7956.573166 7935.748574 1645.4 24.935800 23.520200 22.286800 21.20730 20.317800 19.021100 17.913500 16.743100 15.50860 14.280200 12.826000 11.072500 1.499900 7580.649118 7407.941373 7245.475907 7090.853064 6942.813072 6800.551724 6663.492489 6531.190373 6403.284617 6279.472693 6159.494735 6043.123548 5930.157839 5820.417389 5713.739502 5609.976284 5508.992516 5410.663956 5314.875952 5221.522294 5130.504260 5041.729805 4955.112871 4870.572790 4788.033774 4707.424469 4628.677558 4551.729421 4476.519831 4402.991678 4331.090736 4260.765440 4191.966697 4124.647710 4058.763821 3994.272365 3931.132545 3869.305311 3808.753251 3749.440492 3691.332611 3634.396550 3578.600539 3523.914024 3470.307601 3417.752957 3366.222812 3315.690864 3266.131744 0
4 63.175907 0 72.800003 36.000000 56.299999 7890.047393 7806.023232 7671.423077 7499.701342 7257.235602 1192.0 19.277600 17.450100 15.900300 14.56090 13.610800 12.191600 11.032400 9.849190 8.676960 7.442330 5.856280 3.998220 0.152712 7350.160736 7111.883655 6894.582428 6692.769654 6503.452852 6324.704539 6155.157359 5993.778849 5839.754835 5692.422567 5551.229380 5415.705591 5285.445908 5160.096195 5039.343751 4922.909993 4810.544837 4702.022285 4597.136926 4495.701104 4397.542607 4302.502762 4210.434844 4121.202731 4034.679773 3950.747817 3869.296370 3790.221877 3713.427086 3638.820493 3566.315861 3495.831780 3427.291290 3360.621535 3295.753459 3232.621527 3171.163479 3111.320104 3053.035035 2996.254562 2940.927466 2887.004858 2834.440039 2783.188372 2733.207154 2684.455512 2636.894292 2590.485972 2545.194567 7943.542217 7891.443595 7850.289589 7799.315341 7724.800000 1386.7 21.798200 20.097300 18.623600 17.31660 16.390600 14.989700 13.869500 12.704000 11.51790 10.243800 8.662160 6.621830 0.314905 7442.295567 7236.387241 7046.128337 6867.417485 6698.123005 6536.899802 6382.798397 6235.099537 6093.231932 5956.726352 5825.187735 5698.277081 5575.699087 5457.193357 5342.527942 5231.494467 5123.904377 5019.585975 4918.382068 4820.148050 4724.750334 4632.065050 4541.976955 4454.378507 4369.169081 4286.254296 4205.545426 4126.958898 4050.415841 3975.841703 3903.165897 3832.321500 3763.244974 3695.875923 3630.156874 3566.033070 3503.452297 3442.364715 3382.722708 3324.480749 3267.595273 3212.024561 3157.728633 3104.669153 3052.809331 3002.113848 2952.548770 2904.081477 2856.680598 0
除零也可能是因为奇异矩阵，这可能是由完美共线引起的。检查并确保每个分类变量都有一个伪变量，以避免伪变量。但是，如果我从预测器中删除一个二元独立变量，它运行平稳，结果看起来非常不错。那么，这不应该至少表明其他预测因子不是完全共线的吗？这意味着二元自变量是导致共线关系的一个变量。我认为如果你发布一些数据，或者至少是你使用的变量列表，我们可以更好地推测和回答。我有很多预测因子（他们需要减少，但我仍然需要第一个模型，包括所有内容）和大量的观察。你建议我如何继续发布一些数据？我以前没有在这里发布过那么多数据。