minimal_hrtlf {hrtlFMC}R Documentation

Half Replicate of Two Level Factorial Run Order with Minimum Level Changes

Description

Generate cost effective minimally changed run sequences for half replicate of two level factorial run order

Usage

minimal_hrtlf(Number_of_Factors)

Arguments

Number_of_Factors

Number of factors must be greater than 2

Value

Returns minimally changed run sequences for half replicate of two level factorial run order along with factor wise change, total change and Trend Factor value.

References

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.\ Arpan Bhowmik, Eldho Varghese, Seema Jaggi and Cini Varghese (2017). Minimally changed run sequences in factorial experiments. Communications in Statistics - Theory and Methods, 46(15), 7444-7459.\ Arpan Bhowmik, Eldho Varghese, Seema Jaggi and Cini Varghese (2022). On the generation of factorial designs with minimum level changes. Communication in Statistics –Simulation and Computation, 51(6), 3400-3409.\ Bijoy Chanda, Arpan Bhowmik, Seema Jaggi, Eldho Varghese, Anindita Datta, Cini Varghese, Namita Das Saha, Arti Bhatia and Bidisha Chakrabarti (2021). Minimal cost multifactor experiments for agricultural research involving hard-to-change factors. The Indian Journal of Agricultural Sciences, 91 (7), 97-100.\ Bijoy Chanda, Arpan Bhowmik, Seema Jaggi, Eldho Varghese and Anindita Datta (2021). Cost Effective Two Level Factorial Run Orders for Agricultural Experimentation. Journal of Community Mobilization and Sustainable Development, 16 (3), 668-672\ Lieven Tack and Martina Vandebroek (2001). (Dt,C)-optimal run orders. Journal of Statistical Planning and Inference, 98, 293-310.

Examples

minimal_hrtlf(3)

[Package hrtlFMC version 0.1.0 Index]