I am using the lubridate
package and applying the month
function to extract month from date. I ran the str command on date field and I got
?month
states:
Date-time must be a POSIXct, POSIXlt, Date, Period, chron, yearmon, yearqtr, zoo, zooreg, timeDate, xts, its, ti, jul, timeSeries, and fts objects.
Your object is a factor, not even a character vector (presumably because of stringsAsFactors = TRUE
). You have to convert your vector to some datetime class, for instance to POSIXlt
:
library(lubridate)
some_date <- c("01/02/1979", "03/04/1980")
month(as.POSIXlt(some_date, format="%d/%m/%Y"))
[1] 2 4
There's also a convenience function dmy
, that can do the same (tip proposed by @Henrik):
month(dmy(some_date))
[1] 2 4
Going even further, @IShouldBuyABoat gives another hint that dd/mm/yyyy character formats are accepted without any explicit casting:
month(some_date)
[1] 2 4
For a list of formats, see ?strptime
. You'll find that "standard unambiguous format" stands for
The default formats follow the rules of the ISO 8601 international standard which expresses a day as "2001-02-28" and a time as "14:01:02" using leading zeroes as here.
For some time now, you can also only rely on the data.table
package and its IDate
class plus associated functions. (Check ?as.IDate()
). So, no need to additionally install lubridate
.
require(data.table)
some_date <- c("01/02/1979", "03/04/1980")
month(as.IDate(some_date, '%d/%m/%Y')) # all data.table functions
you can convert it into date format by-
new_date<- as.Date(old_date, "%m/%d/%Y")}
from new_date
, you can get the month by strftime()
month<- strftime(new_date, "%m")
old_date<- "01/01/1979"
new_date<- as.Date(old_date, "%m/%d/%Y")
new_date
#[1] "1979-01-01"
month<- strftime(new_date,"%m")
month
#[1] "01"
year<- strftime(new_date, "%Y")
year
#[1] "1979"
Without the need of an external package:
if your date is in the following format:
myDate = as.POSIXct("2013-01-01")
Then to get the month number:
format(myDate,"%m")
And to get the month string:
format(myDate,"%B")
Her is another R base
approach:
From your example: Some date:
Some_date<-"01/01/1979"
We tell R, "That is a Date"
Some_date<-as.Date(Some_date)
We extract the month:
months(Some_date)
output: [1] "January"
Finally, we can convert it to a numerical variable:
as.numeric(as.factor(months(Some_date)))
outpt: [1] 1