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"),]
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