假设我在R中有一个日期,格式如下。
date
2012-02-01
2012-02-01
2012-02-02
在R中是否有任何方法可以添加与日期相关的星期几的其他列?数据集非常大,因此手动完成并进行更改是没有意义的。
df = data.frame(date=c("2012-02-01", "2012-02-01", "2012-02-02"))
因此,在添加日期之后,它最终会看起来像:
date day
2012-02-01 Wednesday
2012-02-01 Wednesday
2012-02-02 Thursday
这可能吗?任何人都可以指向我一个允许我这样做的包吗? 只是尝试按日期自动生成日期。
答案 0 :(得分:268)
df = data.frame(date=c("2012-02-01", "2012-02-01", "2012-02-02"))
df$day <- weekdays(as.Date(df$date))
df
## date day
## 1 2012-02-01 Wednesday
## 2 2012-02-01 Wednesday
## 3 2012-02-02 Thursday
编辑:只是为了表明另一种方式......
wday
对象的POSIXlt
组件是数字工作日(从星期日开始的0-6)。
as.POSIXlt(df$date)$wday
## [1] 3 3 4
可用于对工作日名称的字符向量进行子集化
c("Sunday", "Monday", "Tuesday", "Wednesday", "Thursday",
"Friday", "Saturday")[as.POSIXlt(df$date)$wday + 1]
## [1] "Wednesday" "Wednesday" "Thursday"
答案 1 :(得分:60)
查找?strftime
:
%A
当前区域设置中的完整工作日名称
df$day = strftime(df$date,'%A')
答案 2 :(得分:50)
使用lubridate
包和函数wday
:
library(lubridate)
df$date <- as.Date(df$date)
wday(df$date, label=TRUE)
[1] Wed Wed Thurs
Levels: Sun < Mon < Tues < Wed < Thurs < Fri < Sat
答案 3 :(得分:17)
假设您还希望本周开始星期一(而不是星期日的默认值),那么以下内容很有帮助:
require(lubridate)
df$day = ifelse(wday(df$time)==1,6,wday(df$time)-2)
结果是区间[0,..,6]中的天数。
如果您希望间隔为[1,.. 7],请使用以下内容:
df$day = ifelse(wday(df$time)==1,7,wday(df$time)-1)
......或者:
df$day = df$day + 1
答案 4 :(得分:12)
这应该可以解决问题
df = data.frame(date=c("2012-02-01", "2012-02-01", "2012-02-02"))
dow <- function(x) format(as.Date(x), "%A")
df$day <- dow(df$date)
df
#Returns:
date day
1 2012-02-01 Wednesday
2 2012-02-01 Wednesday
3 2012-02-02 Thursday
答案 5 :(得分:4)
start = as.POSIXct("2017-09-01")
end = as.POSIXct("2017-09-06")
dat = data.frame(Date = seq.POSIXt(from = start,
to = end,
by = "DSTday"))
# see ?strptime for details of formats you can extract
# day of the week as numeric (Monday is 1)
dat$weekday1 = as.numeric(format(dat$Date, format = "%u"))
# abbreviated weekday name
dat$weekday2 = format(dat$Date, format = "%a")
# full weekday name
dat$weekday3 = format(dat$Date, format = "%A")
dat
# returns
Date weekday1 weekday2 weekday3
1 2017-09-01 5 Fri Friday
2 2017-09-02 6 Sat Saturday
3 2017-09-03 7 Sun Sunday
4 2017-09-04 1 Mon Monday
5 2017-09-05 2 Tue Tuesday
6 2017-09-06 3 Wed Wednesday
答案 6 :(得分:3)
形成JStrahl format(as.Date(df$date),"%w")
的评论,我们得到当天的数量:
as.numeric(format(as.Date("2016-05-09"),"%w"))