| Title: | Factorial Experiments with Minimum Level Changes |
|---|---|
| Description: | Generate cost effective minimally changed run sequences for symmetrical as well as asymmetrical factorial designs. |
| Authors: | Shwetank Lall [aut, cre], Arpan Bhowmik [ctb], Eldho Varghese [aut], Seema Jaggi [ctb], Cini Varghese [ctb] |
| Maintainer: | Shwetank Lall <[email protected]> |
| License: | GPL (>= 2) |
| Version: | 1.0.1 |
| Built: | 2024-11-02 02:40:32 UTC |
| Source: | https://github.com/cran/FMC |
The FMC package can be used to construct run sequences with minimum changes in factor levels. Experimenter can save time and resources by minimizing the number of changes in levels of individual facor and therefore the total number of changes. The package provides the function minimal.factorial and gen.level. This technique can be employed to any symmetric or asymmetric factorial combination.
In Design of Experiments (DOE) theory, levels of a factor can be represented as integers e.g. -1 for low, 0 for medium and 1 for high. This representation helps in studying factors with high number of levels. The function "gen.level()" provides the same representation for any factor with given number of total levels. User is expected to enter a vector of total number of levels for each factor to be considered in the experiment. Function "minimal.factorial()" provides the required run sequences for the input vector of level totals. The output also gives the number of changes of each factor along with total number of changes in the run sequence.
gen.level: Generate integers representing the levels of a factor.
minimal.factorial: Generate minimally changed runs for asymmetric
and symmetric factorial combinations..
Shwetank Lall [email protected]
Arpan Bhowmik [email protected]
Eldho Varghese [email protected]
Seema Jaggi [email protected]
Cini Varghese [email protected]
Arpan Bhowmik, Eldho Varghese, Seema Jaggi and Cini
Varghese(2016).Minimally changed run sequences in factorial
experiments. Communications in Statistics - Theory and Methods,
DOI: 10.1080/03610926.2016.1152490.
Arpan Bhowmik, Eldho Varghese, Seema Jaggi and Cini
Varghese (2015). Factorial Experiments with Minimum Changes
in Run Sequences. Journal of the Indian Society of
Agricultural Statistics. 69(3), 243-255.
Generate coded integers for given total number of levels of a factor.
gen.level(x)gen.level(x)
x |
An integer greater than or equal to 2. |
a vector of integers as
coded levels for a factor
with total number of
levels as x.
# To generate 5 levels for a factor gen.level(5)# To generate 5 levels for a factor gen.level(5)
Generate minimally changed run sequences for a given asymmetrical or symmetrical factorial design.
minimal.factorial(z)minimal.factorial(z)
z |
A vector of size 2 with entries integers greater than 1. |
returns minimally changed run sequences for given
factorial setting as v.
#' ## make a vector of factor levels z <- c(2,3,4) # To generate minimmaly changed run sequence minimal.factorial(z)#' ## make a vector of factor levels z <- c(2,3,4) # To generate minimmaly changed run sequence minimal.factorial(z)