datetime_to_cols: DateTime to columns

In emillykkejensen/DateTimeWrangler: DateTimeWrangler | convert datetime into comprehensive data.frames with parsed values

Description

Extract various info from a DateTime value such as day of the week, time of day, day of the year, whether the time and day is during working hours, if it is a holiday or national vacation day, etc.

Usage

datetime_to_cols(datetime, country = "denmark", suffixes = NULL,
  return = "data.table", verbose = FALSE)

Arguments

datetime	A datetime object.
country	What country to get country specific values (holidays, vacations and time of day) from. See details for a list of countries.
suffixes	A character specifying the suffixes to be used for all columns.This is particularly handy if you want to keep track of multiple datetime inputs. NULL == no suffixes.
return	character; What class to return the output data in - either 'data.table', 'data.frame' or 'tibble'.
verbose	Show what is going on...

Details

The following countries are supported:

• denmark

Value

A Data Frame including the following columns (class in parenthesis):

• datetime: The inputtet datetime parameter (same class as your input)

• date: Date (IDate or Date)

• time: Time (ITime)

• year: Year (integer)

• quarter: Quarter of the year (integer)

• month: Month of the year (integer)

• week: Week number (integer)

• yday: Day of the year (integer)

• mday: Day of the month (integer)

• wday: Day of the week - 1 is monday (integer)

• hour: Hour (integer)

• minute: Minute (integer)

• second: Second (integer)

• timeOfDay: The time of day (factor)

• withinWorkingHours: Is it within working hours (logical)

• firstWeekMonth: Is it the first week of the month (logical)

• lastWeekMonth: Is it the last week of the month (logical)

• firstMondayMonth: Is it the first monday of the month (logical)

• lastFridayMonth: Is it the last friday of the month (logical)

• isHoliday: Is it a national holiday (logical)

• isVacation: Is it a national vacation (logical)

emillykkejensen/DateTimeWrangler documentation built on May 14, 2019, 9:37 a.m.