This package enables you to work with Ethiopian dates in R like you do
with base R Date
objects. It can seamlessly convert to and from
Gregorian dates, regardless of the way you record them. It supports
almost all important parsing techniques used for a base R Date object.
If you have ever worked with a Date
object, you can do the same with
Ethiopian dates. It is designed to work smoothly with the {tidyverse}
,
including {ggplot2}
, {dplyr}
, {tibble}
, and {lubridate}
, making
it ideal for data manipulation pipelines. This package ensures
lightning-fast computations thanks to the {Rcpp}
package that enables
the integration of high-performance C++ code. It has built-in checks for
leap years and the 13th month (Pagume), which makes this package
crucial.
ethdate
object.{ggplot2}
: Designed to smoothly work with
{ggplot2}
. You can install the development version of ethiodate
package like so:
# Install the current version on CRAN
install.packages("ethiodate")
# Install a stable development version from GitHub (requires compilation)
devtools::install_github("GutUrago/ethiodate")
This package is for you if you have ever faced the following conditions, where;
Examples:
library(ethiodate)
library(dplyr)
data.frame(
eth_year = c(2000, 2007, 2015, 2020, 1950, 2030),
eth_month = c(8, 2, 13, 5, 7, 5),
eth_day = c(25, 12, 6, 8, 17, 30)
) |>
mutate(
eth_date = eth_make_date(eth_year, eth_month, eth_day),
gre_date = as.Date(eth_date),
eth_dayname = eth_weekday(eth_date, lang = "en"),
gre_dayname = weekdays(gre_date)
)
#> eth_year eth_month eth_day eth_date gre_date eth_dayname gre_dayname
#> 1 2000 8 25 2000-08-25 2008-05-03 Saturday Saturday
#> 2 2007 2 12 2007-02-12 2014-10-22 Wednesday Wednesday
#> 3 2015 13 6 2015-13-06 2023-09-11 Monday Monday
#> 4 2020 5 8 2020-05-08 2028-01-17 Monday Monday
#> 5 1950 7 17 1950-07-17 1958-03-26 Wednesday Wednesday
#> 6 2030 5 30 2030-05-30 2038-02-07 Sunday Sunday
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