我是R的新手,请耐心等待。我注意到我的数据集中有一个日期是错误的,我想更改它。以下是数据集中的一小部分数据作为示例。
admission2(dttm( | time_lorazepam2(dttm | |
---|---|---|
2015-08-05 01:52:00 | 2015-08-05 02:57:00 | 65 |
2015-08-17 02:00:00 | 2015-08-17 01:26:00 | -34 |
2016-02-25 18:59:00 | 2016-02-25 20:15:00 | 76 |
假设这是您的数据(此处admission2
和time_lorazepam2
已经是日期时间格式(:
library(dplyr)
library(tibble)
dat <- tribble(~ admission2, ~ time_lorazepam2, ~admission_to_lorazepam,
"2015-08-05 01:52:00", "2015-08-05 02:57:00", 65,
"2015-08-17 02:00:00", "2015-08-17 01:26:00", -34,
"2016-02-25 18:59:00", "2016-02-25 20:15:00", 76
) %>% mutate(across(c(admission2, time_lorazepam2), as.POSIXct))
dat
#> # A tibble: 3 x 3
#> admission2 time_lorazepam2 admission_to_lorazepam
#> <dttm> <dttm> <dbl>
#> 1 2015-08-05 01:52:00 2015-08-05 02:57:00 65
#> 2 2015-08-17 02:00:00 2015-08-17 01:26:00 -34
#> 3 2016-02-25 18:59:00 2016-02-25 20:15:00 76
我想你想做:
dat %>% mutate(admission2 = if_else(admission2 == as.POSIXct("2015-08-17 02:00:00"),
as.POSIXct("2015-08-17 01:26:00"),
admission2))
#> # A tibble: 3 x 3
#> admission2 time_lorazepam2 admission_to_lorazepam
#> <dttm> <dttm> <dbl>
#> 1 2015-08-05 01:52:00 2015-08-05 02:57:00 65
#> 2 2015-08-17 01:26:00 2015-08-17 01:26:00 -34
#> 3 2016-02-25 18:59:00 2016-02-25 20:15:00 76
要保存,您可以添加条件admission_to_lorazepam < 0
,以真正只更改admission
为"2015-08-17 02:00:00"
且admission_to_lorazepam
为负数的行:
dat %>% mutate(admission2 = if_else(admission2 == as.POSIXct("2015-08-17 02:00:00") & admission_to_lorazepam < 0,
as.POSIXct("2015-08-17 01:26:00"),
admission2))
#> # A tibble: 3 x 3
#> admission2 time_lorazepam2 admission_to_lorazepam
#> <dttm> <dttm> <dbl>
#> 1 2015-08-05 01:52:00 2015-08-05 02:57:00 65
#> 2 2015-08-17 01:26:00 2015-08-17 01:26:00 -34
#> 3 2016-02-25 18:59:00 2016-02-25 20:15:00 76
或者你可以用负admission_to_lorazepam
:更改所有日期
dat %>% mutate(admission2 = if_else(admission_to_lorazepam < 0,
time_lorazepam2 ,
admission2))
#> # A tibble: 3 x 3
#> admission2 time_lorazepam2 admission_to_lorazepam
#> <dttm> <dttm> <dbl>
#> 1 2015-08-05 01:52:00 2015-08-05 02:57:00 65
#> 2 2015-08-17 01:26:00 2015-08-17 01:26:00 -34
#> 3 2016-02-25 18:59:00 2016-02-25 20:15:00 76
创建于2022-07-29由reprex包(v2.0.1(