我正在尝试使用glmnetcr包在具有许多分类变量的大型数据集上构建连续比率模型。
我正在尝试拟合此模型：
fit3=glmnetcr(x=trainElective2[,1:26],y=trainElective2[,27],method="forward")
这给了我以下错误：
Error in y * weights : non-numeric argument to binary operator
这是我的变量类型：
$ Admission.Type : Factor w/ 3 levels "Elective - Booked",..: 3 3 3 3 3 3 3 3 3 3 ...
$ Treatment.Function : Factor w/ 7 levels "BREAST SURGERY",..: 1 3 2 3 1 3 2 3 3 1 ...
$ Main.Health.Care.Provider.Job.Title: Factor w/ 25 levels "Colorectal Consultant",..: 7 4 15 12 18 15 8 15 4 6 ...
$ Dominant.Procedure.OPCS.Code : Factor w/ 373 levels "A732","A752",..: 22 219 166 329 19 152 85 159 55 24 ...
$ Procedure.Code.Desc : Factor w/ 373 levels "Abdominolipectomy",..: 231 325 2 50 329 339 33 340 11 261 ...
$ Primary.Diagnosis.ICD10.Code : Factor w/ 330 levels "A099","A419",..: 30 220 20 301 32 1 323 183 169 32 ...
$ Primary.Diagnosis.Desc : Factor w/ 323 levels "Abdominal aortic aneurysm, without mention of rupture",..: 196 67 161 139 197 130 31 98 89 197 ...
$ Secondary.Diagnosis.ICD10.Code : Factor w/ 568 levels "A047","A099",..: NA 175 NA 510 175 285 344 229 182 107 ...
$ Secondary.Diagnosis.Desc : Factor w/ 550 levels "Abdominal aortic aneurysm, without mention of rupture",..: NA 177 NA 465 177 157 437 116 110 521 ...
$ ASA.Code : Factor w/ 5 levels "1","2","3","4",..: 1 3 2 1 1 NA 2 NA 3 3 ...
$ Anaesthetic.Type : Factor w/ 11 levels "Block","Epidural Anaesthetic",..: 4 4 4 4 4 NA 3 NA 4 4 ...
$ Was.Operation.Delayed. : Factor w/ 2 levels "No","Yes": 1 2 2 1 1 1 2 1 2 2 ...
$ Reason.For.Operation.Delay : Factor w/ 56 levels "Additions / Changes to List",..: NA 30 17 NA NA NA 28 NA 30 31 ...
$ Is.Readmission. : Factor w/ 2 levels "No","Yes": 1 1 1 1 1 1 1 1 1 1 ...
$ Did.Patient.Die. : Factor w/ 2 levels "No","Yes": 1 1 1 1 1 1 1 1 1 1 ...
$ Patient.Age.On.Admit : num 51 58 60 74 83 73 61 73 77 82 ...
$ Patient.Sex : Factor w/ 2 levels "Female","Male": 1 1 1 1 1 1 2 1 1 1 ...
$ Patient.Ethnicity : Factor w/ 15 levels "Any Other Ethnic Group",..: 14 14 11 14 14 14 11 14 14 14 ...
$ Patient.Deprivation.Index.Decile : num 9 8 9 6 6 7 3 NA 1 4 ...
$ BMI : num 32.1 32.4 2.81 23.8 26.7 26.3 22.1 25 25.4 29.1 ...
$ BMI.Category : Factor w/ 4 levels "Healthy","Obese",..: 2 2 4 1 3 3 1 3 3 3 ...
$ Smoking.Status : Factor w/ 3 levels "Current Smoker",..: 3 2 2 3 2 2 1 1 2 2 ...
$ Drinking.Status : Factor w/ 2 levels "No","Yes": NA 2 2 2 2 2 NA 1 1 2 ...
$ OperationDuration : num 118 111 677 78 169 NA 107 NA 337 84 ...
$ LOS : Ord.factor w/ 54 levels "1"<"2"<"3"<"4"<..: 1 1 5 1 2 1 11 2 3 1 .
我遵循了RDocumentation中的示例：https://www.rdocumentation.org/packages/glmnetcr/versions/1.0.2/topics/glmnet.cr
此外，我不确定我是否使用了正确的包装。
这是我的数据集样本的链接：
https://github.com/connor20/MyProject/blob/master/trainElectiveDemo.xlsx