Other packages > Find by keyword >

minFactorial  

All Possible Minimally Changed Factorial Run Orders
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("minFactorial", "0.1.0")



Attach the package and use:
library("minFactorial")
Maintained by
Bijoy Chanda
[Scholar Profile | Author Map]
First Published: 2024-11-05
Latest Update: 2024-11-05
Description:
In many agricultural, engineering, industrial, post-harvest and processing experiments, the number of factor level changes and hence the total number of changes is of serious concern as such experiments may consists of hard-to-change factors where it is physically very difficult to change levels of some factors or sometime such experiments may require normalization time to obtain adequate operating condition. For this reason, run orders that offer the minimumnumber of factor level changes and at the same time minimize the possible influence of systematic trend effects on the experimentation have been sought. Factorial designs with minimum changes in factors level may be preferred for such situations as these minimally changed run orders will minimize the cost of the experiments. For method details see, Bhowmik, A.,Varghese, E., Jaggi, S. and Varghese, C. (2017)<doi:10.1080/03610926.2016.1152490>.This package used to construct all possible minimally changed factorial run orders for different experimental set ups along with different statistical criteria to measure the performance of these designs. It consist of the function minFactDesign().
How to cite:
Bijoy Chanda (2024). minFactorial: All Possible Minimally Changed Factorial Run Orders. R package version 0.1.0, https://cran.r-project.org/web/packages/minFactorial. Accessed 30 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited minFactorial R package
View minFactorial citation profile
Other R packages that minFactorial depends, imports, suggests or enhances
Complete documentation for minFactorial
Functions, R codes and Examples using the minFactorial R package
Full minFactorial package functions and examples
Downloads during the last 30 days
03/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/29Downloads for minFactorial051015202530354045505560TrendBars

Today's Hot Picks in Authors and Packages

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  
micEconAids  
Demand Analysis with the Almost Ideal Demand System (AIDS)
Functions and tools for analysing consumer demand with the Almost Ideal Demand System (AIDS) sugg ...
Download / Learn more Package Citations See dependency  
crimeutils  
A Comprehensive Set of Functions to Clean, Analyze, and Present Crime Data
A collection of functions that make it easier to understand crime (or other) data, and assist other ...
Download / Learn more Package Citations See dependency  
GRAPE  
Gene-Ranking Analysis of Pathway Expression
Gene-Ranking Analysis of Pathway Expression (GRAPE) is a tool for summarizing the consensus behavio ...
Download / Learn more Package Citations See dependency  
eyetrackingR  
Eye-Tracking Data Analysis
Addresses tasks along the pipeline from raw data to analysis and visualization for eye-tracking dat ...
Download / Learn more Package Citations See dependency  
schrute  
The Entire Transcript from the Office in Tidy Format
The complete scripts from the American version of the Office television show in tibble format. Use ...
Download / Learn more Package Citations See dependency  

24,142

R Packages

207,311

Dependencies

65,176

Author Associations

24,143

Publication Badges

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