timeplyr1.1.2 package

Fast Tidy Tools for Date and Date-Time Manipulation

age_years

Accurate and efficient age calculation

calendar

Create a table of common time units from a date or datetime sequence.

get_time_delay

Get summary statistics of time delay

growth_rate

Fast Growth Rates

growth

Rolling basic growth

is_date

Utility functions for checking if date or datetime

is_whole_number

Are all numbers whole numbers?

iso_week

Efficient, simple and flexible ISO week calculation

missing_dates

Check for missing dates between first and last date

reset_timeplyr_options

Reset 'timeplyr' options

resolution

Time resolution & granularity

roll_lag

Fast rolling grouped lags and differences

roll_na_fill

Fast grouped "locf" NA fill

roll_sum

Fast by-group rolling functions

scales

Additional ggplot2 scales

time_add

Add/subtract timespans to dates and date-times

time_by

Group by a time variable at a higher time unit

time_core

Vector date and datetime functions

time_cut

Cut dates and datetimes into regularly spaced date or datetime interva...

time_diff

Time differences by any time unit

time_elapsed

Fast grouped time elapsed

time_episodes

Episodic calculation of time-since-event data

time_expand

A time based extension to tidyr::complete().

time_gaps

Gaps in a regular time sequence

time_ggplot

Quick time-series ggplot

time_id

Time ID

time_interval

S3-based Time Intervals (Currently very experimental and so subject to...

time_is_regular

Is time a regular sequence? (Experimental)

time_roll

Fast time-based by-group rolling sum/mean - Currently experimental

time_seq_id

Generate a unique identifier for a regular time sequence with gaps

time_seq

Time based version of base::seq()

time_units

Time units

timeplyr-package

timeplyr: Fast Tidy Tools for Date and Date-Time Manipulation

timespan

Timespans

ts_as_tbl

Turn ts into a tibble

year_month

Fast methods for creating year-months and year-quarters

A set of fast tidy functions for wrangling, completing and summarising date and date-time data. It combines 'tidyverse' syntax with the efficiency of 'data.table' and speed of 'collapse'.

  • Maintainer: Nick Christofides
  • License: GPL (>= 2)
  • Last published: 2026-02-10 07:50:02 UTC