Package: ProduceR 1.2

Vincent Reduron

ProduceR: Concise and Efficient Tools for Everyday Statistical Production

A set of concise and efficient tools for statistical production. Can also be used for data management. In statistical production, you deal with complex data and need to control your process at each step of your work. Concise functions are very helpful, because you do not hesitate to use them. The following functions are included in the package. 'dup' checks duplicates. 'miss' checks missing values. 'tac' computes contingency table of all columns. 'toc' compares two tables, spotting significant deviations. 'chi2_find' compares columns within a data.frame, spotting related categories of (a more complex function).

Authors:Vincent Reduron [cre, aut]

ProduceR_1.2.tar.gz
ProduceR_1.2.tar.gz(r-4.7-any)ProduceR_1.2.tar.gz(r-4.6-any)
ProduceR_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ProduceR/json (API)
NEWS

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 7 scripts 494 downloads 13 exports 15 dependencies

Last updated from:8f1d50b793. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK143
source / vignettesOK153
linux-release-x86_64OK109
wasm-releaseOK99

Exports:%+%chi2_findcoltypesdupget_recursion_depthis.Dateis.POSIXctis.POSIXltis.POSIXtmisstactoctoc_score

Dependencies:clidplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr