r - SPSS Syntax to R 用于判别分析

Question

我一直在 SPSS 工作，需要知道如何在 R 中运行判别分析。我想象我的语法在 SPSS 中看起来像这样

> GET DATA /TYPE=XLSX   
>/FILE='C:\Users\Downloads\Initial Diabetics Data 10000.xlsx'   
>/SHEET=name 'Initial Diabetics Data 10000.xl'   
>/CELLRANGE=full   /READNAMES=on   
>/ASSUMEDSTRWIDTH=32767. 
>EXECUTE.
>DATASET NAME DataSet1 WINDOW=FRONT.
> 
> 
> 
> DELETE VARIABLES weight.
> 
> 
> DISCRIMINANT   
>/GROUPS=readmitted(0 1)   
>/VARIABLES=age
> admission_type_id discharge_disposition_id admission_source_id
> lengthofstay num_lab_procedures num_procedures num_medications number_outpatient 
> number_emergency number_inpatient number_diagnoses   
>/ANALYSIS ALL   
>/SAVE=CLASS    
>/METHOD=WILKS    
>/FIN=3.84   
>/FOUT=2.71   
>/PRIORS EQUAL    
>/HISTORY  
>/STATISTICS=CORR TABLE    
/PLOT=CASES  
/CLASSIFY=NONMISSING POOLED.

在 R 中应该如下所示？在 R 中使用 wilks lambda 进行基本判别分析并保存预测组的语法是什么？

> library(readxl)
> Initial_Diabetics_Data_10000 <- read_excel("C:/Users/Downloads/Initial Diabetics Data 10000.xlsx")
> View(Initial_Diabetics_Data_10000)

>df <-df Initial_Diabetics_Data_10000 select(-weight)



>DISCRIMINANT
  ?