Package: ProduceR 1.4

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. 'sums' computes sums of all numeric columns. '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_1.4.tar.gz
ProduceR_1.4.zip(r-4.7-any)ProduceR_1.4.zip(r-4.6-any)
ProduceR_1.4.tar.gz(r-4.7-any)ProduceR_1.4.tar.gz(r-4.6-any)
ProduceR_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ProduceR/json (API)

# 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.

1.70 score 9 scripts 310 downloads 14 exports 15 dependencies

Last updated from:22b9a940ce. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK106
source / vignettesOK233
linux-releaseOK110
windows-develOK70
windows-releaseOK77
wasm-releaseOK102

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

Dependencies:clidplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr