'Second to last Wednesday of month in R
In R, how can I produce a list of dates of all 2nd to last Wednesdays of the month in a specified date range? I've tried a few things but have gotten inconsistent results for months with five Wednesdays.
Solution 1:[1]
To generate a regular sequence of dates you can use seq
with dates for parameter from
and to
. See the seq.Date documentation for more options.
Create a data frame with the date, the month and weekday. And then obtain the second to last wednesday for each month with the help of aggregate
.
day_sequence = seq(as.Date("2020/1/1"), as.Date("2020/12/31"), "day")
df = data.frame(day = day_sequence,
month = months(day_sequence),
weekday = weekdays(day_sequence))
#Filter only wednesdays
df = df[df$weekday == "Wednesday",]
result = aggregate(day ~ month, df, function(x){head(tail(x,2),1)})
tail(x,2)
will return the last two rows, then head(.., 1)
will give you the first of these last two.
Result:
month day
1 April 2020-04-22
2 August 2020-08-19
3 December 2020-12-23
4 February 2020-02-19
5 January 2020-01-22
6 July 2020-07-22
7 June 2020-06-17
8 March 2020-03-18
9 May 2020-05-20
10 November 2020-11-18
11 October 2020-10-21
12 September 2020-09-23
Solution 2:[2]
There are probably simpler ways of doing this but the function below does what the question asks for. it returns a named vector of days such that
- They are between
from
andto
. - Are weekday
day
, where 1 is Monday. - Are
n
to last of the month.
By n
to last I mean the nth counting from the end of the month.
whichWeekday <- function(from, to, day, n, format = "%Y-%m-%d"){
from <- as.Date(from, format = format)
to <- as.Date(to, format = format)
day <- as.character(day)
d <- seq(from, to, by = "days")
m <- format(d, "%Y-%m")
f <- c(TRUE, m[-1] != m[-length(m)])
f <- cumsum(f)
wed <- tapply(d, f, function(x){
i <- which(format(x, "%u") == day)
x[ tail(i, n)[1] ]
})
y <- as.Date(wed, origin = "1970-01-01")
setNames(y, format(y, "%Y-%m"))
}
whichWeekday("2019-01-01", "2020-03-31", 4, 2)
# 2019-01 2019-02 2019-03 2019-04 2019-05
#"2019-01-23" "2019-02-20" "2019-03-20" "2019-04-17" "2019-05-22"
# 2019-06 2019-07 2019-08 2019-09 2019-10
#"2019-06-19" "2019-07-24" "2019-08-21" "2019-09-18" "2019-10-23"
# 2019-11 2019-12 2020-01 2020-02 2020-03
#"2019-11-20" "2019-12-18" "2020-01-22" "2020-02-19" "2020-03-18"
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
Solution | Source |
---|---|
Solution 1 | R. Schifini |
Solution 2 |