I have this data: (complete for December)
date sessions
1 2014-12-01 1932
2 2014-12-02 1828
3 2014-12-03 2349
4 2014-12-04 8192
5 2014-12-05 3188
6 2014-12-06 3277
And a need to subset/filter this, for example from "2014-12-05" to "2014-12-25"
I know that you can create a sequence with the operator ":".
Example: b <- c(1:5)
But How to filter a sequence? I tried this
NewDate <- filter(Dates, date("2014-12-05":"2014-12-12"))
But says:
Error: unexpected symbol in: "NewDate <- filter(Dates, date("2014-12-05":"2014-12-12") NewDate"
table object using a range of values, we can use single square brackets and choose the range using %between%. For example, if we have a data. table object DT that contains a column x and the values in x ranges from 1 to 10 then we can subset DT for values between 3 to 8 by using the command DT[DT$x %between% c(3,8)].
subset recycles its condition argument. filter supports conditions as separate arguments. filter preserves the class of the column.
you could use subset
Generating your sample data:
temp<-
read.table(text="date sessions
2014-12-01 1932
2014-12-02 1828
2014-12-03 2349
2014-12-04 8192
2014-12-05 3188
2014-12-06 3277", header=T)
Making sure it's in date format:
temp$date <- as.Date(temp$date, format= "%Y-%m-%d")
temp
# date sessions
# 1 2014-12-01 1932
# 2 2014-12-02 1828
# 3 2014-12-03 2349
# 4 2014-12-04 8192
# 5 2014-12-05 3188
# 6 2014-12-06 3277
Using subset
:
subset(temp, date> "2014-12-03" & date < "2014-12-05")
which gives:
# date sessions
# 4 2014-12-04 8192
you could also use []
:
temp[(temp$date> "2014-12-03" & temp$date < "2014-12-05"),]
If you want to use dplyr
, you can try something like this.
mydf <- structure(list(date = structure(c(16405, 16406, 16407, 16408,
16409, 16410), class = "Date"), sessions = c(1932L, 1828L, 2349L,
8192L, 3188L, 3277L)), .Names = c("date", "sessions"), row.names = c("1",
"2", "3", "4", "5", "6"), class = "data.frame")
# Create date object
mydf$date <- as.Date(mydf$date)
filter(mydf, between(date, as.Date("2014-12-02"), as.Date("2014-12-05")))
#If you avoid using `between()`, the code is simpler.
filter(mydf, date >= "2014-12-02", date <= "2014-12-05")
filter(mydf, date >= "2014-12-02" & date <= "2014-12-05")
# date sessions
#1 2014-12-02 1828
#2 2014-12-03 2349
#3 2014-12-04 8192
#4 2014-12-05 3188
An option using data.table
library(data.table)
setDT(df)[date %between% c('2014-12-02', '2014-12-05')]
# date sessions
#1: 2014-12-02 1828
#2: 2014-12-03 2349
#3: 2014-12-04 8192
#4: 2014-12-05 3188
This should work even if the "date" is "character" column
df$date <- as.character(df$date)
setDT(df)[date %between% c('2014-12-02', '2014-12-05')]
# date sessions
#1: 2014-12-02 1828
#2: 2014-12-03 2349
#3: 2014-12-04 8192
#4: 2014-12-05 3188
In case if we wanted to subset exclusive of the range
setDT(df)[between(date, '2014-12-02', '2014-12-05', incbounds=FALSE)]
# date sessions
#1: 2014-12-03 2349
#2: 2014-12-04 8192
df <- structure(list(date = structure(c(16405, 16406, 16407, 16408,
16409, 16410), class = "Date"), sessions = c(1932L, 1828L, 2349L,
8192L, 3188L, 3277L)), .Names = c("date", "sessions"), row.names = c("1",
"2", "3", "4", "5", "6"), class = "data.frame")
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