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simtimer

simtimer in a little R package designed to simplify (and speeding up) calculating time intervals in discrete event simulations.

Discrete event simulations is a simulation paradigm that is based on the evaluation of events taking place in a time-specific order. Therefore a discrete event simulation calculates many time intervals. simtimer handles dates and times as integers. This makes working with time intervals as easy (and as fast) as subtracting integers.

Installation

You can install simtimer from CRAN or github with:

install.packages("simtimer")

# install.packages("devtools")
devtools::install_github("ims-fhs/simtimer")

Example

Simtimer allows transformation between datetimes (POSIXt) and sim_datetimes (integer) with sim_datetime() and datetime().

origin_date <- as.POSIXct("2016-01-01 00:00:00", tz = "UTC")
my_datetime <-  as.POSIXct("2016-01-02 01:01:01", tz = "UTC")
my_simdatetime <- as.sim_datetime(my_datetime, origin_date)
my_simdatetime
#> [1] 90061
as.datetime(my_simdatetime, origin_date)
#> [1] "2016-01-02 01:01:01 UTC"

Simtimer allows to manipulate sim_datetimes and extract parts of sim_datetimes with sim_time(), sim_wday() and sim_date().

sim_time(my_simdatetime)
#> [1] 3661
sim_wday(my_simdatetime, origin_date)
#> [1] "6"
sim_date(my_simdatetime)
#> [1] 1

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Version

Install

install.packages('simtimer')

Monthly Downloads

167

Version

4.0.0

License

GPL-3

Issues

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Stars

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Maintainer

Adrian Staempfli

Last Published

January 22nd, 2019

Functions in simtimer (4.0.0)

sim_date

Date part of a sim_datetime
sim_time

Time part of a sim_datetime
sim_wday

Weekday part of a sim_datetime
as.datetime

Back-transformation from a sim_datetime to a datetime
as.sim_datetime

Transformation from a datetime to a sim_datetime