My 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
I want to select all rows
based on the date for example if Date
is greater than 2015-09-04
and less than 2015-09-18
The result should be:
Patch Date Prod_DL P1 2015-09-04 3.43 P11 2015-09-11 3.49
I tried the following but it returns empty empty vector.
p2p_dt_SKILL_A%>% select(Patch,Date,Prod_DL)%>% filter(Date > "2015-09-04" & Date <"2015-09-18")
Just returns:
> 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)
Also tried with quotes.
And using 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$Date) == 9)%>% arrange(Date)
But this gives me whole September data.
Is there a more efficient way like using the between
operator from dplyr
on Date
types variables?
If Date is properly formatted as a date
, your first try works:
p2p_dt_SKILL_A <-read.table(text="Patch,Date,Prod_DL P1,9/4/2015,3.43 P11,9/11/2015,3.49 P12,9/18/2015,3.45 P13,12/6/2015,3.57 P14,12/13/2015,3.43 P15,12/20/2015,3.47 ",sep=",",stringsAsFactors =FALSE, header=TRUE) p2p_dt_SKILL_A$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
Still works if data is of type 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
Another more verbose option would be to use the function between
, a shortcut for x >= left & x <= right. We need to change the days to account for the =
sign, and to use as.Date
(explanation here).
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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