使用 dplyr 进行动态编程 使用动态输入改变多个动态列

我有一个数据框apcd_hud_ex.我想获取一些列名(例如x2014_03_15)，并根据列的当前值、列名中解析的日期和数据框中的另一列(无烟日期)动态更改列的值.我可以在列上循环完成，但我真的很想知道如何使用dplyr和mutate进行动态编程.任何帮助都将不胜感激！

apcd_hud_ex = structure(list(studyid = 1:5, SMOKEFREE_DATE = structure(c(16283, 
16283, 16071, 16071, 16648), class = "Date"), x2014_03_15 = c(1, 
1, 1, 0, 1), x2014_04_15 = c(1, 1, 1, 1, 1), x2014_05_15 = c(1, 
1, 1, 1, 1), x2014_06_15 = c(1, 1, 1, 1, 1), x2014_07_15 = c(1, 
1, 1, 1, 1), x2014_08_15 = c(1, 1, 1, 1, 1), x2014_09_15 = c(1, 
1, 1, 1, 1), x2014_10_15 = c(1, 1, 1, 1, 1), x2014_11_15 = c(1, 
1, 1, 1, 1), x2014_12_15 = c(1, 1, 1, 1, 1), x2015_01_15 = c(1, 
1, 1, 1, 1)), row.names = c(NA, -5L), class = c("tbl_df", "tbl", 
"data.frame"))

> apcd_hud_ex
# A tibble: 5 x 13
  studyid SMOKEFREE_DATE x2014_03_15 x2014_04_15 x2014_05_15 x2014_06_15 x2014_07_15 x2014_08_15 x2014_09_15 x2014_10_15
    <int> <date>               <dbl>       <dbl>       <dbl>       <dbl>       <dbl>       <dbl>       <dbl>       <dbl>
1       1 2014-08-01               1           1           1           1           1           1           1           1
2       2 2014-08-01               1           1           1           1           1           1           1           1
3       3 2014-01-01               1           1           1           1           1           1           1           1
4       4 2014-01-01               0           1           1           1           1           1           1           1
5       5 2015-08-01               1           1           1           1           1           1           1           1
# ... with 3 more variables: x2014_11_15 <dbl>, x2014_12_15 <dbl>, x2015_01_15 <dbl>
>


#function for loop
assign_PHRes_enrollIns_fn <- function(SFdate,insValue,insDate){
  val = if_else(insValue == 0,
                0,
                if_else(as.Date(insDate) < as.Date(SFdate,"%Y-%m-%d"),
                        1,
                        2))
  return(val)
}

#vectorized function
assign_PHRes_enrollIns_fn_vec <- Vectorize(assign_PHRes_enrollIns_fn)

dateCols = names(apcd_hud_ex)[which(names(apcd_hud_ex) == "x2014_03_15"):which(names(apcd_hud_ex) == "x2015_01_15")]

列名(dateCols)上的循环工作:

for(i in 1:length(dateCols)){
  dateCol = dateCols[i]
  insDate = as.Date(paste0(str_sub(dateCol,2,5),"/",str_sub(dateCol,7,8),"/",str_sub(dateCol,10,11)),"%Y/%m/%d")
  apcd_hud_ex[,dateCol] = assign_PHRes_enrollIns_fn_vec(apcd_hud_ex[,"SMOKEFREE_DATE"],apcd_hud_ex[,dateCol],insDate)
}

现在被操纵的数据框看起来像这样，这就是我想要的:

> apcd_hud_ex
# A tibble: 5 x 13
  studyid SMOKEFREE_DATE x2014_03_15 x2014_04_15 x2014_05_15 x2014_06_15 x2014_07_15 x2014_08_15 x2014_09_15 x2014_10_15
    <int> <date>               <dbl>       <dbl>       <dbl>       <dbl>       <dbl>       <dbl>       <dbl>       <dbl>
1       1 2014-08-01               1           1           1           1           1           2           2           2
2       2 2014-08-01               1           1           1           1           1           2           2           2
3       3 2014-01-01               2           2           2           2           2           2           2           2
4       4 2014-01-01               0           2           2           2           2           2           2           2
5       5 2015-08-01               1           1           1           1           1           1           1           1
# ... with 3 more variables: x2014_11_15 <dbl>, x2014_12_15 <dbl>, x2015_01_15 <dbl>

然而，我想学习如何使用动态编程和dplyr实现这一点.我try 了两种功能:

newInsValCols_fn1 <- function(df,dateCols){
  insDate = as.Date(paste0(str_sub(dateCols,2,5),"/",str_sub(dateCols,7,8),"/",str_sub(dateCols,10,11)),"%Y/%m/%d")

  df1 <- df %>%
    mutate({{dateCols}} := if_else({{dateCols}} == 0,
                                   0,
                                   if_else(as.Date(insDate) < as.Date(SMOKEFREE_DATE,"%Y-%m-%d"),
                                           1,
                                           2)))
 return(df1)
} 
newInsValCols_fn1(apcd_hud_ex,dateCols)

这就产生了错误:

 Error: The LHS of `:=` must be a string or a symbol

所以我试着使用符号:

newInsValCols_fn2 <- function(df,dateCols){
  dateCols_syms = syms(dateCols)
  insDate = as.Date(paste0(str_sub(dateCols,2,5),"/",str_sub(dateCols,7,8),"/",str_sub(dateCols,10,11)),"%Y/%m/%d")
  df1 <- df %>%
    mutate(!!dateCols_syms := if_else({{dateCols}} == 0,
                                      0,
                                      if_else(as.Date(insDate) < as.Date(SMOKEFREE_DATE,"%Y-%m-%d"),
                                              1,
                                              2)))
  return(df1)
} 
newInsValCols_fn2(apcd_hud_ex,dateCols)

这就产生了同样的错误:

Error: The LHS of `:=` must be a string or a symbol

我也试过用！！！而不是但这导致了以下错误:

 Error: The LHS of `:=` can't be spliced with `!!!`

我的理解有些欠缺.