Reputation: 1702
I have a simple df with a column of dates in yearmon
class:
df <- structure(list(year_mon = structure(c(2015.58333333333, 2015.66666666667,
2015.75, 2015.83333333333, 2015.91666666667, 2016, 2016.08333333333,
2016.16666666667, 2016.25, 2016.33333333333), class = "yearmon")), class = c("tbl_df",
"tbl", "data.frame"), row.names = c(NA, -10L))
I'd like a simple way, preferably using base R, lubridate
or xts
/ zoo
to calculate the first and last days of each month.
I've seen other packages that do this, but I'd like to stick with the aforementioned if possible.
Upvotes: 1
Views: 640
Reputation: 269654
Use as.Date.yearmon
from zoo as shown. frac
specifies the fractional amount through the month to use so that 0 is beginning of the month and 1 is the end.
The default value of frac
is 0.
You must already be using zoo if you are using yearmon
(since that is where the yearmon
methods are defined) so this does not involve using any additional packages beyond what you are already using.
If you are using dplyr, optionally replace transform
with mutate
.
transform(df, first = as.Date(year_mon), last = as.Date(year_mon, frac = 1))
gives:
year_mon first last
1 Aug 2015 2015-08-01 2015-08-31
2 Sep 2015 2015-09-01 2015-09-30
3 Oct 2015 2015-10-01 2015-10-31
4 Nov 2015 2015-11-01 2015-11-30
5 Dec 2015 2015-12-01 2015-12-31
6 Jan 2016 2016-01-01 2016-01-31
7 Feb 2016 2016-02-01 2016-02-29
8 Mar 2016 2016-03-01 2016-03-31
9 Apr 2016 2016-04-01 2016-04-30
10 May 2016 2016-05-01 2016-05-31
Upvotes: 1
Reputation: 887148
We can use
library(dplyr)
library(lubridate)
library(zoo)
df %>%
mutate(firstday = day(year_mon), last = day(as.Date(year_mon, frac = 1)))
Upvotes: 2
Reputation: 388982
Using base R, you could convert the yearmon
object to date using as.Date
which would give you the first day of the month. For the last day, we could increment the date by a month (1/12) and subtract 1 day from it.
df$first_day <- as.Date(df$year_mon)
df$last_day <- as.Date(df$year_mon + 1/12) - 1
df
# year_mon first_day last_day
# <S3: yearmon> <date> <date>
# 1 Aug 2015 2015-08-01 2015-08-31
# 2 Sep 2015 2015-09-01 2015-09-30
# 3 Oct 2015 2015-10-01 2015-10-31
# 4 Nov 2015 2015-11-01 2015-11-30
# 5 Dec 2015 2015-12-01 2015-12-31
# 6 Jan 2016 2016-01-01 2016-01-31
# 7 Feb 2016 2016-02-01 2016-02-29
# 8 Mar 2016 2016-03-01 2016-03-31
# 9 Apr 2016 2016-04-01 2016-04-30
#10 May 2016 2016-05-01 2016-05-31
Upvotes: 2