查找两个不同时间之间是否存在时间,键入问题
Find if a time exists between two different times, type issue
我有一个数据框
df <- structure(list(TIME = c("11:15:00", NA, "15:15:00", "12:00:00",
"18:40:00", "18:15:00", "7:10:00", "15:58:00", "10:00:00", "10:00:00"
)), row.names = c(NA, -10L), class = c("tbl_df", "tbl", "data.frame"
))
我基本上想创建一个新变量来告诉我时间是否在某个组中。
我写了以下但它不正确,尝试更改为as.POSICxt但没有骰子。
df <- df %>%
mutate(time_groups = ifelse(between(as.POSIXct(TIME),00:00, 5:59), 1,
ifelse(between(as.POSIXct(TIME),06:00, 8:59), 2,
ifelse(between(as.POSIXct(TIME),09:00,11:59), 3,
ifelse(between(as.POSIXct(TIME),12:00,14:59), 4,
ifelse(between(as.POSIXct(TIME),15:00,17:59), 5,
ifelse(between(as.POSIXct(TIME),18:00,23:59), 6,
), NA)
您可以使用 findInterval
函数:
library(tidyverse)
library(lubridate)
a <- c("00:00","5:59", "8:59", "11:59", "14:59", "17:59", "23:59")
b <- ymd_hm(paste(Sys.Date(), a))
df %>%
mutate(Interval = findInterval(ymd_hms(paste(Sys.Date(), TIME)), b))
TIME Interval
<chr> <int>
1 11:15:00 3
2 NA NA
3 15:15:00 5
4 12:00:00 4
5 18:40:00 6
6 18:15:00 6
7 7:10:00 2
8 15:58:00 5
9 10:00:00 3
10 10:00:00 3
我有一个数据框
df <- structure(list(TIME = c("11:15:00", NA, "15:15:00", "12:00:00",
"18:40:00", "18:15:00", "7:10:00", "15:58:00", "10:00:00", "10:00:00"
)), row.names = c(NA, -10L), class = c("tbl_df", "tbl", "data.frame"
))
我基本上想创建一个新变量来告诉我时间是否在某个组中。
我写了以下但它不正确,尝试更改为as.POSICxt但没有骰子。
df <- df %>%
mutate(time_groups = ifelse(between(as.POSIXct(TIME),00:00, 5:59), 1,
ifelse(between(as.POSIXct(TIME),06:00, 8:59), 2,
ifelse(between(as.POSIXct(TIME),09:00,11:59), 3,
ifelse(between(as.POSIXct(TIME),12:00,14:59), 4,
ifelse(between(as.POSIXct(TIME),15:00,17:59), 5,
ifelse(between(as.POSIXct(TIME),18:00,23:59), 6,
), NA)
您可以使用 findInterval
函数:
library(tidyverse)
library(lubridate)
a <- c("00:00","5:59", "8:59", "11:59", "14:59", "17:59", "23:59")
b <- ymd_hm(paste(Sys.Date(), a))
df %>%
mutate(Interval = findInterval(ymd_hms(paste(Sys.Date(), TIME)), b))
TIME Interval
<chr> <int>
1 11:15:00 3
2 NA NA
3 15:15:00 5
4 12:00:00 4
5 18:40:00 6
6 18:15:00 6
7 7:10:00 2
8 15:58:00 5
9 10:00:00 3
10 10:00:00 3