Other packages > Find by keyword >

r6qualitytools  

R6-Based Statistical Methods for Quality Science
View on CRAN: Click here


Download and install r6qualitytools package within the R console
Install from CRAN:
install.packages("r6qualitytools")

Install from Github:
library("remotes")
install_github("cran/r6qualitytools")

Install by package version:
library("remotes")
install_version("r6qualitytools", "1.0.1")



Attach the package and use:
library("r6qualitytools")
Maintained by
Fabian Encarnacion
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-03
Latest Update: 2024-10-03
Description:
A comprehensive suite of statistical tools for Quality Management, designed around the Define, Measure, Analyze, Improve, and Control (DMAIC) cycle used in Six Sigma methodology. Based on the discontinued CRAN package 'qualitytools', this package refactors its original design by incorporating 'R6' object-oriented programming for increased flexibility and performance. It replaces traditional graphics with modern, interactive visualizations using 'ggplot2' and 'plotly'. Built on 'tidyverse' principles, it simplifies data manipulation and visualization, offering an intuitive approach to quality science.
How to cite:
Fabian Encarnacion (2024). r6qualitytools: R6-Based Statistical Methods for Quality Science. R package version 1.0.1, https://cran.r-project.org/web/packages/r6qualitytools. Accessed 12 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited r6qualitytools R package
View r6qualitytools citation profile
Other R packages that r6qualitytools depends, imports, suggests or enhances
Complete documentation for r6qualitytools
Functions, R codes and Examples using the r6qualitytools R package
Full r6qualitytools package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

snap  
Simple Neural Application
A simple wrapper to easily design vanilla deep neural networks using 'Tensorflow'/'Keras' backend fo ...
Download / Learn more Package Citations See dependency  
visualize  
Graph Probability Distributions with User Supplied Parameters and Statistics
Graphs the pdf or pmf and highlights what area or probability is present in user defined locations. ...
Download / Learn more Package Citations See dependency  
mmrm  
Mixed Models for Repeated Measures
Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuou ...
Download / Learn more Package Citations See dependency  
Relectoral  
Electoral Analysis
Functions to obtain an important number of electoral indicators described in the package, which can ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
emIRT  
EM Algorithms for Estimating Item Response Theory Models
Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) mod ...
Download / Learn more Package Citations See dependency  

23,171

R Packages

199,134

Dependencies

62,827

Author Associations

23,089

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA