Learn R Programming

ProduceR (version 1.0)

Concise and Efficient Tools for Everyday Statistical Production

Description

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).

Copy Link

Version

Install

install.packages('ProduceR')

Monthly Downloads

319

Version

1.0

License

MIT + file LICENSE

Maintainer

Vincent Reduron

Last Published

October 31st, 2025

Functions in ProduceR (1.0)

is.POSIXct

is.POSIXct
%+%

short for `paste0()`
is.POSIXlt

is.POSIXlt
toc

TAC-based Outlier Control (TOC)
get_tac_column

Contingency table for column `col_name` in data.frame `df
dup

Analysis of the cardinality of a key/identifier in a table
get_recursion_depth

get_recursion_depth
is.Date

is.Date
toc_score

Scoring significativity of difference between two values x and y
is.POSIXt

is.POSIXt
chi2_find

Find modalities related to a criterion
coltypes

coltypes()
tac

Computes a contingency table (tac) of all columns in a dataframe for control purposes
miss

Missing: Generate a synthetic table of missing values for all columns of a data.frame