| calendrical-computations | R Documentation |
The following functions can be used for calendrical computations, especially determining dates of movable observances. All function are vectorised.
nth_day_of_year returns the date of the nth day of a year.
last_day_in_month and last_day_in_quarter return the date
of the last day in a month or a quarter.
nth_dw_in_month returns the date of the nth day
of week in a month.
last_dw_in_month returns the date of the last day
of week in a month.
easter returns the date of Easter in a year.
nth_day_of_year(nth, y)
last_day_in_month(m)
last_day_in_quarter(q)
nth_dw_in_month(nth, dw, m)
last_dw_in_month(dw, m)
easter(y)
nth |
a numeric value or vector of indices (1–366 for |
y, q, m |
an object of |
dw |
a numeric value or vector of days of week (values in range 1–7 with Monday as the 1st day). |
An object of tind class with dates (type "d").
time-index-components, time-index-properties,
Ops. Further examples of application of these functions
can be found in calendar documentation. For calendrical
computations involving business days see bizday.
# Thanksgiving in the US is observed on the fourth Thursday of November,
# which in 2019 was on:
nth_dw_in_month(4, 4, 201911)
# and Black Friday?
nth_dw_in_month(4, 4, 201911) + 1
# Daylight Saving Time in the EU in 2019 began on the last Sunday in March,
# which was on:
last_dw_in_month(7, 201903)
# International Monetary Market dates in 2022 - 3rd Wednesday
# of March, June, September, and December
nth_dw_in_month(3, 3, tind(y = 2022, m = 3 * 1:4))
# determine frequencies of Easter months over the last 100 years
# Easter months
em <- month(easter(as.year(today()) + (-99:0)), labels = TRUE)
# table and barplot
table(em) / length(em) * 100
if (require("graphics", quietly = TRUE)) {
barplot(table(em) / length(em) * 100, ylim = c(0, 100), col = "#faf06d")
}
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