Package: tibbletime 0.1.9.9000

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]

tibbletime_0.1.9.9000.tar.gz
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tibbletime_0.1.9.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tibbletime/json (API)

# 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:

Conda:

periodicitytibbletimetime-seriestimeseriescpp

10.31 score 177 stars 2 packages 722 scripts 3.3k downloads 21 exports 24 dependencies

Last updated from:38d4331994. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK151
linux-devel-x86_64OK132
source / vignettesOK212
linux-release-arm64OK148
linux-release-x86_64OK174
macos-release-arm64OK145
macos-release-x86_64OK331
macos-oldrel-arm64OK96
macos-oldrel-x86_64OK261
windows-develOK110
windows-releaseOK121
windows-oldrelOK119
wasm-releaseOK145

Exports:%>%as_periodas_tbl_timeceiling_indexcollapse_bycollapse_indexcreate_seriesfilterfilter_timefloor_indexget_index_charget_index_classget_index_colget_index_quoget_index_time_zonenew_tbl_timeparse_periodpartition_indexreconstructrollifytbl_time

Dependencies:assertthatclicpp11dplyrgenericsgluehmslatticelifecyclelubridatemagrittrpillarpkgconfigpurrrR6Rcpprlangtibbletidyselecttimechangeutf8vctrswithrzoo

Changing periodicity
Introducing as_period() | Datasets required | Daily to monthly | Generic periods | Details and the start_date argument | The side argument | Grouped datasets
Rendered fromTT-02-changing-time-periods.Rmdusingknitr::rmarkdown

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

Use with dplyr
Package motivation | Index manipulation | Multiple series
Rendered fromTT-04-use-with-dplyr.Rmdusingknitr::rmarkdown

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

Rolling calculations in tibbletime
Introducing rollify() | Datasets required | A rolling average | Purrr functional syntax | Optional arguments | Returning more than 1 value per call | Custom missing values | Rolling regressions
Rendered fromTT-03-rollify-for-rolling-analysis.Rmdusingknitr::rmarkdown

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

Time-based filtering
Introducing filter_time() | Datasets required | Year filtering example | Month filtering example | Keywords | Grouped example | Finer periods | [ syntax | Using variables in the filter
Rendered fromTT-01-time-based-filtering.Rmdusingknitr::rmarkdown

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