Package: padr 0.6.3

Edwin Thoen

padr: Quickly Get Datetime Data Ready for Analysis

Transforms datetime data into a format ready for analysis. It offers two core functionalities; aggregating data to a higher level interval (thicken) and imputing records where observations were absent (pad).

Authors:Edwin Thoen [aut, cre]

padr_0.6.3.tar.gz
padr_0.6.3.tar.gz(r-4.5-noble)padr_0.6.3.tar.gz(r-4.4-noble)
padr_0.6.3.tgz(r-4.4-emscripten)padr_0.6.3.tgz(r-4.3-emscripten)
padr.pdf |padr.html
padr/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/edwinth/padr/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • coffee - Coffee Data Set
  • emergency - Emergency Calls for Montgomery County, PA

cpp

7.78 score 19 packages 400 scripts 18k downloads 16 exports 20 dependencies

Last updated 4 days agofrom:a0beb27dfd. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-linux-x86_64OKNov 25 2024

Exports:center_intervalclosest_weekdayfill_by_functionfill_by_prevalentfill_by_valueformat_intervalget_intervalpadpad_custpad_intspan_aroundspan_datespan_timesubset_spanthickenthicken_cust

Dependencies:clicpp11dplyrfansigenericsgluelifecyclelubridatemagrittrpillarpkgconfigR6Rcpprlangtibbletidyselecttimechangeutf8vctrswithr

Custom thickening and padding

Rendered frompadr_custom.Rmdusingknitr::rmarkdownon Nov 25 2024.

Last update: 2020-09-12
Started: 2017-11-16

Implementation Information of padr

Rendered frompadr_implementation.Rmdusingknitr::rmarkdownon Nov 25 2024.

Last update: 2020-09-12
Started: 2017-01-17

Introduction to padr

Rendered frompadr.Rmdusingknitr::rmarkdownon Nov 25 2024.

Last update: 2020-09-12
Started: 2017-01-17