我正在尝试编写一个解析日期向量并从每个值中减去4小时的管道。这里是一些示例数据:
structure(list(Created = c("24/04/2019 05:03:45", "24/04/2019 05:03:47",
"24/04/2019 05:03:56", "24/04/2019 05:04:00", "24/04/2019 11:51:57",
"24/04/2019 05:58:21", "23/04/2019 10:36:24", "24/04/2019 01:33:53",
"23/04/2019 18:44:50", "23/04/2019 18:25:19"), Ended = c("Â",
"Â", "Â", "Â", "24/04/2019 12:20:26", "24/04/2019 11:51:57",
"23/04/2019 10:51:21", "24/04/2019 05:03:56", "24/04/2019 01:33:53",
"23/04/2019 18:44:50")), row.names = c(NA, 10L), class = "data.frame")
这有效:
Data$Ended <- dmy_hms(Data$Ended)
Data$Ended <- Data$Ended - hours(4)
但是第一步不是:
Data$Ended %>% dmy_hms()
我收到以下警告消息: 所有格式均无法解析。找不到格式。
答案 0 :(得分:0)
对于这种转换,您最好使用mutate()
并且管道框架允许您避免对每个字段使用Data $。
如果我们假装数据看起来像这样,您可以尝试:
Data <- tibble(Ended=c('23-04-2019 00:00:00', '23-04-2019 01:00:00',
'24-04-2019 00:00:00', '24-04-2019 01:00:00'))
Data <- Data %>%
mutate(Ended=dmy_hms(Ended)- hours(4))