说你有这个data.frame:
df <- data.frame(date=rep(seq.POSIXt(as.POSIXct("2010-01-01 15:26"), by="day", length.out=3), each=3), var=rnorm(9))
> df
date var
1 2010-01-01 15:26:00 -0.02814237
2 2010-01-01 15:26:00 -0.26924825
3 2010-01-01 15:26:00 -0.57968310
4 2010-01-02 15:26:00 0.88089757
5 2010-01-02 15:26:00 -0.79954092
6 2010-01-02 15:26:00 1.87145778
7 2010-01-03 15:26:00 0.93234835
8 2010-01-03 15:26:00 1.29130038
9 2010-01-03 15:26:00 -1.09841234
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要按天分开你只需要:
> split(df, as.Date(df$date))
$`2010-01-01`
date var
1 2010-01-01 15:26:00 -0.02814237
2 2010-01-01 15:26:00 -0.26924825
3 2010-01-01 15:26:00 -0.57968310
$`2010-01-02`
date var
4 2010-01-02 15:26:00 0.8808976
5 2010-01-02 15:26:00 -0.7995409
6 2010-01-02 15:26:00 1.8714578
$`2010-01-03`
date var
7 2010-01-03 15:26:00 0.9323484
8 2010-01-03 15:26:00 1.2913004
9 2010-01-03 15:26:00 -1.0984123
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编辑:
上面的方法也与chrondatetime对象一致:
x <- chron(dates = "02/27/92", times = "22:29:56")
> x
[1] (02/27/92 22:29:56)
> as.Date(x)
[1] "1992-02-27"
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编辑2
确保as.Date不会更改您的数据至关重要,请参阅此处:
# I'm using "DSTday" to make a sequece of one entire _apparent_ day
x <- rep(seq.POSIXt(as.POSIXct("2010-03-27 00:31"), by="DSTday", length.out=3))
> x
[1] "2010-03-27 00:31:00 GMT" "2010-03-28 00:31:00 GMT" "2010-03-29 00:31:00 BST"
> as.Date(x)
[1] "2010-03-27" "2010-03-28" "2010-03-28"
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第三项是在夏季时间并as.Date检索实际日期,即减去一小时.为了避免这种情况
> as.Date(cut(x, "DSTday"))
[1] "2010-03-27" "2010-03-28" "2010-03-29"
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