根据R（dplyr）中的两个条件进行分组和重命名

debugcn 发表于 Dev

林内特

我有一个数据集df：

最终，我希望能够将数据分组为“块”，其中“文件夹”列包含字符串“ Out”，并确保考虑到DATE及其关联的空Message值。有没有一种方法可以为每个实例“ Out”创建一个块，并在计算其持续时间的同时出现一个空的Message行。

  Folder               DATE                         Message
  Outdata              9/9/2019 5:46:00                   
  Outdata              9/9/2019 5:46:01
  Outdata              9/9/2019 5:46:02
  In                   9/9/2019 5:46:03            hello
  In                   9/9/2019 5:46:04            hello
  Outdata              9/10/2019 6:00:01
  Outdata              9/10/2019 6:00:02
  In                   9/11/2019 7:50:00           hello
  In                   9/11/2019 7:50:01           hello

我想要这个输出：

 New Variable        Duration        Message
 Outdata1              2 sec
 Outdata2              1 sec

我已经包含了dput：

dput(sample)
structure(list(Folder = structure(c(2L, 2L, 2L, 1L, 1L, 2L, 2L, 
1L, 1L), .Label = c("In", "Outdata"), class = "factor"), Date = structure(c(5L, 
6L, 7L, 8L, 9L, 1L, 2L, 3L, 4L), .Label = c("9/10/2019 6:00:01 AM", 
"9/10/2019 6:00:02 AM", "9/11/2019 7:50:00 AM", "9/11/2019 7:50:01 AM", 
"9/9/2019 5:46:00 AM", "9/9/2019 5:46:01 AM", "9/9/2019 5:46:02 AM", 
"9/9/2019 5:46:03 AM", "9/9/2019 5:46:04 AM"), class = "factor"), 
Message = structure(c(1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L), .Label = c("", 
"hello"), class = "factor")), class = "data.frame", row.names = c(NA, 
-9L))

这是我尝试过的方法，效果很好，我只需要考虑空Message值的情况。

  library(dplyr)

  df  %>%
  mutate(DATE = as.POSIXct(DATE, format = "%m/%d/%Y %I:%M:%S %p"), 
     gr = cumsum(Folder != lag(Folder, default = TRUE))) %>%
 filter(Folder == "Out") %>%
 arrange(gr, DATE) %>%
 group_by(gr) %>%
 summarise(Duration = difftime(last(DATE), first(DATE), units = "secs")) %>%
 mutate(gr = paste0('Out', row_number()))

上面的代码可以正常工作，但是我不确定如何满足row ==“”的条件

罗纳克·沙

也许，只是paste在Message一个串起来。

library(dplyr)

sample  %>%
  mutate(DATE = as.POSIXct(Date, format = "%m/%d/%Y %I:%M:%S %p"), 
         gr = cumsum(Folder != lag(Folder, default = TRUE))) %>%
  filter(Folder == "Outdata") %>%
  arrange(gr, DATE) %>%
  group_by(gr) %>%
  summarise(Duration = difftime(last(DATE), first(DATE), units = "secs"), 
            Message = paste0(Message, collapse = "")) %>%
  mutate(gr = paste0('Out', row_number()))

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