In vbfelix/relper: Miscellaneous Functions for Data Preparation, Cleaning, and Visualization

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(relper)

dttm_ functions help in the manipulation of date and datetime variables.

dttm_diff

The goal of dttm_diff is to compute the difference between two dates.

date1 <- lubridate::dmy("01/05/1998")

date2 <- lubridate::dmy("21/11/2018")

dttm_diff(date1 = date1,date2 = date2,unit = "days")

So the time difference between 21/11/2018 and 01/05/1998 is 7,509 days.

If you need to add a constant to your difference, use the add argument.

dttm_diff(date1 = date1,date2 = date2,unit = "days",add = 1)

dttm_vars

The goal of dttm_vars is to compute variables derived from date, such as year, month, day, etc.

dt <- seq(as.Date("1910/1/1"), as.Date("1911/1/1"), "days")

df_dt <- data.frame(dt = dt)

dttm_vars(df_dt,dt) %>% dplyr::glimpse()

The new variables respective to the date are:

• mon_abb: a factor with the abbreviated name of the month;
• mon_lbl: a factor with the complete name of the month;
• mon_num: the number of the month;
• day_num: the number of the day within the month;
• year_num: the number of the year;
• year_lbl: the number of the year, as a factor;
• week_num: the number of complete seven day periods that have occurred between the date and January 1st, plus one;
• epiweek_num: the US CDC version of epidemiological week. Starts on Sunday;
• isoweek_num: the week as it would appear in the ISO 8601 system, which uses a reoccurring leap week. Starts on Monday;
• wday_abb: a factor with the week day abbreviated name;
• wday_lbl: a factor with the week day complete name.

vbfelix/relper documentation built on May 10, 2024, 10:50 p.m.