我有数据集df
Subject Folder Message Date
A Out 9/9/2019 5:46:38 PM
A Out 9/9/2019 5:46:40 PM
A Out 9/9/2019 5:46:42 PM
A Out 9/9/2019 5:46:43 PM
A Out 9/9/2019 9:30:00 PM
A Out 9/9/2019 9:30:01 PM
B Out 9/9/2019 9:35:00 PM
B Out 9/9/2019 9:35:01 PM
我正在尝试按主题将其分组，找到持续时间，并创建一个新的持续时间列。如果“日期”时间超过一定时间，我也希望创建一个阈值。我的困境是，在A组中，时间从第四行的5:46到第五行的9:30。这会导致A组中的持续时间不准确。我希望“打破”该时间并找到新的持续时间，同时当时间超过10分钟时在“主题”中创建一个新值（A1）。我不确定是否应该为此使用循环？
Subject Duration Group
A 5 sec outdata1
A1 1 sec outdata2
B 1 sec outdata3
这是我的报告：
structure(list(Subject = structure(c(1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L), .Label = c("A", "B"), class = "factor"), Folder = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = "Out", class = "factor"),
Message = c("", "", "", "", "", "", "", ""), Date = structure(1:8, .Label = c("9/9/2019 5:46:38 PM",
"9/9/2019 5:46:40 PM", "9/9/2019 5:46:42 PM", "9/9/2019 5:46:43 PM",
"9/9/2019 9:30:00 PM", "9/9/2019 9:30:01 PM", "9/9/2019 9:35:00 PM",
"9/9/2019 9:35:01 PM"), class = "factor")), row.names = c(NA,
-8L), class = "data.frame")
这是我尝试的：
thresh <- duration(10, units = "minutes")
df %>%
mutate(Date = mdy_hms(Date)) %>%
transmute(Subject, Duration = diff = difftime(as.POSIXct(Date, format =
"%m/%d/%Y %I:%M:%S %p"),as.POSIXct(Date,
format = "%m/%d/%Y %I:%M:%S %p" ), units = "secs")) %>%
ungroup %>%
distinct %>%
mutate(grp = str_c("Outdata", row_number()))
mutate(delta = if_else(grp < thresh1, grp, NA_real_))
我们可以计算连续之间的持续时间Date值来创建新组，然后计算时间之间的区别min和max各自小组。
library(dplyr)
thresh <- 10
df %>%
mutate(Date = as.POSIXct(Date, format = "%m/%d/%Y %I:%M:%S %p")) %>%
group_by(Subject, Group = cumsum(difftime(Date,
lag(Date, default = first(Date)), units = "mins") > thresh)) %>%
summarise(Duration = difftime(max(Date), min(Date), units = "secs")) %>%
ungroup %>%
mutate(Group = paste0('outdata', row_number()))
# A tibble: 3 x 3
# Subject Group Duration
# <fct> <chr> <drtn>
#1 A outdata1 5 secs
#2 A outdata2 1 secs
#3 B outdata3 1 secs
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