Package: tibbletime 0.1.8.9000

Davis Vaughan

tibbletime: Time Aware Tibbles

Built on top of the 'tibble' package, 'tibbletime' is an extension that allows for the creation of time aware tibbles. Some immediate advantages of this include: the ability to perform time-based subsetting on tibbles, quickly summarising and aggregating results by time periods, and creating columns that can be used as 'dplyr' time-based groups.

Authors:Davis Vaughan [aut, cre], Matt Dancho [aut]

# Install tibbletime in R:

install.packages('tibbletime', repos = c('https://business-science.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/business-science/tibbletime/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

FANG - Stock prices for Facebook, Amazon, Netflix and Google from 2013-2016
FB - Stock prices for Facebook from 2013-2016

On CRAN:

periodicity tibble time time-series timeseries

21 exports 180 stars 5.31 score 25 dependencies 4 dependents 9.2k downloads

Last updated 1 years agofrom:699b40e74eeed7f6a9497e0ab3a59ae48379921e

Exports:%>%as_period as_tbl_time ceiling_index collapse_by collapse_index create_series filter filter_time floor_index get_index_char get_index_class get_index_col get_index_quo get_index_time_zone new_tbl_time parse_period partition_index reconstruct rollify tbl_time

Dependencies:assertthat cli cpp11 dplyr fansi generics glue hms lattice lifecycle lubridate magrittr pillar pkgconfig purrr R6 Rcpp rlang tibble tidyselect timechange utf8 vctrs withr zoo

Changing periodicity

Davis Vaughan

Rendered fromTT-02-changing-time-periods.Rmdusingknitr::rmarkdownon Jun 04 2024.

Last update: 2023-01-24
Started: 2017-09-30

Rolling calculations in tibbletime

Davis Vaughan

Rendered fromTT-03-rollify-for-rolling-analysis.Rmdusingknitr::rmarkdownon Jun 04 2024.

Last update: 2022-10-28
Started: 2017-09-30

Time-based filtering

Davis Vaughan

Rendered fromTT-01-time-based-filtering.Rmdusingknitr::rmarkdownon Jun 04 2024.

Last update: 2017-12-24
Started: 2017-09-30

Use with dplyr

Davis Vaughan

Rendered fromTT-04-use-with-dplyr.Rmdusingknitr::rmarkdownon Jun 04 2024.

Last update: 2023-01-24
Started: 2017-12-23

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Change 'tbl_time' periodicity	as_period
Create 'tbl_time' objects	as_tbl_time tbl_time
A simple wrapper of 'lubridate::ceiling_date()'	ceiling_index
Collapse a tbl_time object by its index	collapse_by
Collapse an index vector so that all observations in an interval share the same date	collapse_index
Create a 'tbl_time' object with a sequence of regularly spaced dates	create_series
Stock prices for Facebook, Amazon, Netflix and Google from 2013-2016	FANG
Stock prices for Facebook from 2013-2016	FB
Succinctly filter a 'tbl_time' object by its index	filter_time [.tbl_time
A simple wrapper of 'lubridate::floor_date()'	floor_index
Getters	getters get_index_char get_index_class get_index_col get_index_quo get_index_time_zone
Create a new tbl_time object	new_tbl_time
Parse a character period specification	parse_period
Partition an index vector into an integer vector representing groups	partition_index
Converting a posixct numeric time back to a classed datetime	posixct_numeric_to_datetime
Reconstruct an S3 class from a template	reconstruct
Create a rolling version of any function	rollify
tibbletime: time-aware tibbles	tibbletime-package tibbletime

Package: tibbletime 0.1.8.9000

tibbletime: Time Aware Tibbles

Changing periodicity

Rolling calculations in tibbletime

Time-based filtering

Use with dplyr

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)