Package: timefully 0.1.1

Marc Cañigueral

timefully: Time-Series Management Made Easy

Manage time-series data frames across time zones, resolutions, and date ranges, while filling gaps using weekday/hour patterns or simple fill helpers or plotting them interactively. It is designed to work seamlessly with the tidyverse and dygraphs environments.

Authors:Marc Cañigueral [aut, cre]

timefully_0.1.1.tar.gz
timefully_0.1.1.zip(r-4.7)timefully_0.1.1.zip(r-4.6)timefully_0.1.1.zip(r-4.5)
timefully_0.1.1.tgz(r-4.6-any)timefully_0.1.1.tgz(r-4.5-any)
timefully_0.1.1.tar.gz(r-4.7-any)timefully_0.1.1.tar.gz(r-4.6-any)
timefully_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
timefully/json (API)

# Install 'timefully' in R:
install.packages('timefully', repos = c('https://resourcefully-dev.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/resourcefully-dev/timefully/issues

Pkgdown/docs site:https://resourcefully-dev.github.io

On CRAN:

Conda:

3.70 score 2 scripts 241 downloads 25 exports 45 dependencies

Last updated from:bf6c06a7b0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK147
source / vignettesOK175
linux-release-x86_64OK193
macos-release-arm64OK138
macos-oldrel-arm64OK102
windows-develOK97
windows-releaseOK107
windows-oldrelOK101
wasm-releaseOK129

Exports:adapt_timeseriesadd_extra_daysaggregate_timeserieschange_timeseries_resolutionchange_timeseries_tzoneconvert_time_num_to_perioddate_to_timestampfill_down_untilfill_from_pastfill_naformat_datetime_axisget_datetime_seqget_time_resolutionget_timeseries_resolutionget_timeseries_tzoneget_week_from_datetimeget_week_totalget_yearly_datetime_seqhas_timeseries_gapspad_timeseriesplot_tstictime_gapsto_hhmmtoc

Dependencies:base64encbslibcachemclicpp11digestdplyrdygraphsevaluatefastmapfontawesomefsgenericsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlatticelifecyclelubridatemagrittrmemoisemimepillarpkgconfigpurrrR6rappdirsrlangrmarkdownsasstibbletidyselecttimechangetinytexutf8vctrswithrxfunxtsyamlzoo

Readme and manuals

Help Manual

Help pageTopics
Adapt time-series dataframe to timezone, date range and fill gapsadapt_timeseries
Add an extra day at the beginning and the end of datetime sequence using the last and first day of the dataadd_extra_days
Aggregate multiple timeseries columns to a single oneaggregate_timeseries
Change time resolution of a time-series data framechange_timeseries_resolution
Adapt the timezone of a time series dataframechange_timeseries_tzone
Convert numeric time value to a datetime period (hour-based)convert_time_num_to_period
Convert date or datetime value to timestamp numberdate_to_timestamp
Fill down tibble columns until a maximum number of time slotsfill_down_until
Fill from past valuesfill_from_past
Fill gaps with a specific valuefill_na
Format datetime axisformat_datetime_axis
Date time sequence with time zone and resolutionget_datetime_seq
Return the time resolution of a datetime sequenceget_time_resolution
Return the time resolution of a time series dataframeget_timeseries_resolution
Get the time zone of a time series dataframeget_timeseries_tzone
Week date from datetime valueget_week_from_datetime
Summarise dataframe with weekly total column valuesget_week_total
Yearly date time sequence with time zone and resolutionget_yearly_datetime_seq
Check whether a time series dataframe has gapshas_timeseries_gaps
Pad a time series to a complete datetime sequencepad_timeseries
Interactive plot for time-series tibblesplot_ts
Time difference start functiontic
Find the missing time slots in a datetime sequencetime_gaps
Convert a number of minutes in string format "HH:MM"to_hhmm
Time difference end functiontoc