通过 while 循环或 Reduce 的多级员工经理关系,仅基于 R

multilevel employee manager relationship through while loop or Reduce, base R only

我的问题可以被认为是已经解决的 的扩展。

为了重现,我在办公室里有多层次的员工-经理关系,就像这样

  manager employee
1     CEO    sally
2   sally      sue
3   sally     paul
4     sue     mary
5    mary     greg
6    mary      don

我必须根据仅在 baseR 中可用的 methods/function 来解决此问题。我尝试 merge 数据本身(3 次)以获得我期望的结果 -

  manager employee manager2 manager3 manager4
1     CEO    sally     <NA>     <NA>     <NA>
2   sally      sue      CEO     <NA>     <NA>
3   sally     paul      CEO     <NA>     <NA>
4     sue     mary    sally      CEO     <NA>
5    mary     greg      sue    sally      CEO
6    mary      don      sue    sally      CEO

我试图通过 while loop 来解决它,但由于中间级别的数量未知,我无法告诉循环在哪里停止。由于这个原因,我假设它也无法通过 Reduce 或类似的 purrr 函数解决。我不想要基于 'hR, data.tree, 'igraph 之类的包的答案,因为这些答案已经在某个地方或另一个地方可用。 BaseR 或 tidyverse 是最受欢迎的。

dput 如下

df <- data.frame(manager = c("CEO","sally","sally","sue","mary", "mary"),
                          employee = c("sally","sue","paul","mary","greg", "don"),
                          stringsAsFactors = FALSE)

我试过的是这样的。

df |>
  merge(df, by.x = 'manager', by.y = 'employee', suffixes = c('', '2'), all.x = T) |>
  merge(df, by.x = 'manager2', by.y = 'employee', suffixes = c('', '3'), all.x = T) |>
  merge(df, by.x = 'manager3', by.y = 'employee', suffixes = c('', '4'), all.x = T)

使用相同的合并解决方案,您可以使用终止条件来确定经理的合成稀疏向量是否有任何经理也是员工。这与发布的代码相同,但通过 while 循环执行。

df_new <- df
level <- 2
by_x <- "manager"
next_manager <- df[,"manager"]
while (any(next_manager %in% df$employee)) {
  df_new <- merge(df_new, df, by.x = by_x, by.y = "employee", suffixes = c("",level), all.x = T)
  next_manager <- df_new[,paste0("manager",level)]
  by_x <- paste0("manager",level)
  level <- level + 1
}

> df_new
  manager3 manager2 manager employee manager4
1      CEO    sally     sue     mary     <NA>
2    sally      sue    mary     greg      CEO
3    sally      sue    mary      don      CEO
4     <NA>      CEO   sally      sue     <NA>
5     <NA>      CEO   sally     paul     <NA>
6     <NA>     <NA>     CEO    sally     <NA>