Other packages > Find by keyword >

hrtlFMC  

Half Replicate of Two Level Factorial Run Order with Minimum Level Changes
View on CRAN: Click here


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

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

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



Attach the package and use:
library("hrtlFMC")
Maintained by
Bijoy Chanda
[Scholar Profile | Author Map]
First Published: 2024-08-30
Latest Update: 2024-08-30
Description:
It is used to construct run sequences with minimum changes for half replicate of two level factorial run order. Experimenter can save time and resources by minimizing the number of changes in levels of individual factor and therefore the total number of changes. It consists of the function minimal_hrtlf(). This technique can be employed to any half replicate of two level factorial run order where the number of factors are greater than two. In Design of Experiments (DOE) theory, two level of a factor can be represented as integers e.g. - 1 for low and 1 for high. User is expected to enter total number of factors to be considered in the experiment. minimal_hrtlf() provides the required run sequences for the input number of factors.The output also gives the number of changes of each factor along with total number of changes in the run sequence. Due to restricted randomization the minimally changed run sequences of half replicate of two level factorial run order will be affected by trend effect. The output also provides the Trend Factor value of the run order. Trend factor value will lies between 0 to 1. Higher the values, lesser the influence of trend effects on the run order.
How to cite:
Bijoy Chanda (2024). hrtlFMC: Half Replicate of Two Level Factorial Run Order with Minimum Level Changes. R package version 0.1.0, https://cran.r-project.org/web/packages/hrtlFMC. Accessed 17 Feb. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited hrtlFMC R package
View hrtlFMC citation profile
Other R packages that hrtlFMC depends, imports, suggests or enhances
Complete documentation for hrtlFMC
Functions, R codes and Examples using the hrtlFMC R package
Full hrtlFMC package functions and examples
Downloads during the last 30 days
01/1801/1901/2001/2101/2201/2301/2401/2501/2601/2701/2801/2901/3001/3102/0102/0202/0302/0402/0502/0602/0702/0802/0902/1002/1102/1202/1302/1402/1502/16Downloads for hrtlFMC2468101214161820TrendBars
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

RecordTest  
Inference Tools in Time Series Based on Record Statistics
Statistical tools based on the probabilistic properties of the record occurrence in a sequence of i ...
Download / Learn more Package Citations See dependency  
vrtest  
Variance Ratio Tests and Other Tests for Martingale Difference Hypothesis
Acollection of statistical tests for martingale difference hypothesis, including automatic portmante ...
Download / Learn more Package Citations See dependency  
mcmcse  
Monte Carlo Standard Errors for MCMC
Provides tools for computing Monte Carlo standard errors (MCSE) in Markov chain Monte Carlo (MCMC) ...
Download / Learn more Package Citations See dependency  
officedown  
Enhanced 'R Markdown' Format for 'Word' and 'PowerPoint'
Allows production of 'Microsoft' corporate documents from 'R Markdown' by reusing formatting define ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

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