搜索变量范围，确定感兴趣的疾病和 return 最早的疾病诊断日期 (R)

Question

我在 R 中有一个 df，其中包含多个列，描述了给定个体在研究期间被分配的 icd10 诊断，这些诊断的日期也记录在单独的变量中：

df = data.frame(ID = c(1001, 1002, 1003, 1004, 1005),
                Disease_code_1 = c('I802', 'G200','I802','', 'H356'),
                Disease_code_2 = c('A071','','G20','','H250'),
                Disease_code_3 = c('H250', '','','',''),
                Date_of_diagnosis_1 = c('12/06/1997','13/06/1997','14/02/2003','','18/20/2005'),
                Date_of_diagnosis_2 = c('12/06/1998','','18/09/2001','','12/07/1993'),
                Date_of_diagnosis_3 = c('17/09/2010','','','',''))

    ID Disease_code_1 Disease_code_2 Disease_code_3 Date_of_disease_1 Date_of_disease_2 Date_of_disease_3
1 1001           I802           A071           H250        12/06/1997        12/06/1998        17/09/2010
2 1002           G200                                      13/06/1997                                    
3 1003           I802            G20                       14/02/2003        18/09/2001                  
4 1004                                                                                                   
5 1005           H356           H250                       18/20/2005        12/07/1993

我想搜索 Disease_code_* 变量和 return 如果一个人被分配了任何感兴趣的疾病代码，则为 1，如 codes_of_interest = c("H250", "H356") 中指定的那样，除了任何感兴趣的代码被记录的最早日期。理想情况下，我的 df 看起来像：

df = data.frame(ID = c(1001, 1002, 1003, 1004, 1005),
                Disease_of_interest = c('1','0','0','0','1'),
                Date_of_disease_interest = c('17/09/2010','','','','12/07/1993'),
                Disease_code_1 = c('I802', 'G200','I802','', 'H356'),
                Disease_code_2 = c('A071','','G20','','H250'),
                Disease_code_3 = c('H250', '','','',''),
                Date_of_diagnosis_1 = c('12/06/1997','13/06/1997','14/02/2003','','18/20/2005'),
                Date_of_diagnosis_2 = c('12/06/1998','','18/09/2001','','12/07/1993'),
                Date_of_diagnosis_3 = c('17/09/2010','','','',''))

    ID Disease_of_interest Date_of_disease_interest Disease_code_1 Disease_code_2 Disease_code_3 Date_of_disease_1 Date_of_disease_2 Date_of_disease_3
1 1001                   1               17/09/2010           I802           A071           H250        12/06/1997        12/06/1998        17/09/2010
2 1002                   0                                    G200                                      13/06/1997                                    
3 1003                   0                                    I802            G20                       14/02/2003        18/09/2001                  
4 1004                   0                                                                                                                            
5 1005                   1               12/07/1993           H356           H250                       18/20/2005        12/07/1993

我目前用来识别感兴趣的疾病代码的代码是（尽管这对诊断日期不敏感）：

dfs$Disease_of_interest<- apply(df[, -1], 1, function(x) {
  if(any(x %in% codes_of_interest))) {
    return(1)
  } else {
    return(0)
  }
})

如有任何建议，我们将不胜感激！

Answer 1

您可以在 apply 中使用 %in% 来获取您找到 codes_of_interest 的位置，然后在 mapply 中使用] 获取 min 个日期。如果找到一个日期codes_of_interest，如果没有找到NA

i <- apply(df[,2:4], 1, "%in%", codes_of_interest)
mapply(function(x, i) if(any(i)) min(x[i]) else NA, asplit(df[,5:7], 1), asplit(i, 2))
#[1] "17/09/2010" NA           NA           NA           "12/07/1993"

搜索变量范围，确定感兴趣的疾病和 return 最早的疾病诊断日期 (R)

Search through range of variables, identify diseases of interest and return earliest date of disease diagnosis (R)

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