She*_*ery 23 r date filter between dplyr
我的tbl_df:
> p2p_dt_SKILL_A%>%
+ select(Patch,Date,Prod_DL)%>%
+ head()
Patch Date Prod_DL
1 P1 2015-09-04 3.43
2 P11 2015-09-11 3.49
3 P12 2015-09-18 3.45
...
4 P13 2015-12-06 3.57
5 P14 2015-12-13 3.43
6 P15 2015-12-20 3.47
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我想rows根据日期选择所有,例如,如果Date大于2015-09-04和小于2015-09-18
结果应该是:
Patch Date Prod_DL
P1 2015-09-04 3.43
P11 2015-09-11 3.49
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我尝试了以下但它返回空的空向量.
p2p_dt_SKILL_A%>%
select(Patch,Date,Prod_DL)%>%
filter(Date > "2015-09-04" & Date <"2015-09-18")
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回报:
> p2p_dt_SKILL_A%>%
+ select(Patch,Date,Prod_DL)%>%
+ filter(Date > 2015-09-12 & Date <2015-09-18)
Source: local data table [0 x 3]
Variables not shown: Patch (fctr), Date (date), Prod_DL (dbl)
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还尝试了引号.
并使用 lubridate
p2p_dt_SKILL_A%>%
select(Patch,Date,Prod_DL)%>%
#filter(Date > 2015-09-12 & Date <2015-09-18)%>%
filter(Patch %in% c("BVG1"),month(p2p_dt_SKILL_A$Date) == 9)%>%
arrange(Date)
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但这给了我整个九月的数据.
是否有一种更有效的方法,比如在类型变量上使用between运算符?dplyrDate
Pie*_*nte 28
如果日期格式正确date,您的第一次尝试工作:
p2p_dt_SKILL_A <-read.table(text="Patch,Date,Prod_DL
P1,9/4/2015,3.43
P11,9/11/2015,3.49
P12,9/18/2015,3.45
P13,12/6/2015,3.57
P14,12/13/2015,3.43
P15,12/20/2015,3.47
",sep=",",stringsAsFactors =FALSE, header=TRUE)
p2p_dt_SKILL_A$Date <-as.Date(p2p_dt_SKILL_A$Date,"%m/%d/%Y")
p2p_dt_SKILL_A%>%
select(Patch,Date,Prod_DL)%>%
filter(Date > "2015-09-04" & Date <"2015-09-18")
Patch Date Prod_DL
1 P11 2015-09-11 3.49
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UPDATE
如果数据类型仍然有效tbl_df.
p2p_dt_SKILL_A <-tbl_df(p2p_dt_SKILL_A)
p2p_dt_SKILL_A%>%
select(Patch,Date,Prod_DL)%>%
filter(Date > "2015-09-04" & Date <"2015-09-18")
Source: local data frame [1 x 3]
Patch Date Prod_DL
(chr) (date) (dbl)
1 P11 2015-09-11 3.49
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mpa*_*nco 11
另一个更详细的选项是使用该函数between,x> = left&x <= right的快捷方式.我们需要更改=占用标志的日期,并使用as.Date(此处说明).
p2p_dt_SKILL_A%>%
select(Patch,Date,Prod_DL)%>%
filter(between(Date, as.Date("2015-09-05"),as.Date("2015-09-17")))
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