JMP on Test Science Research Document Library https://research.testscience.org/keywords/jmp/ Recent content in JMP on Test Science Research Document Library Hugo -- 0.129.0 en-us Institute for Defense Analyses Sun, 01 Jan 2023 00:00:00 +0000 Implementing Fast Flexible Space-Filling Designs in R https://research.testscience.org/post/2023-implementing-fast-flexible-space-filling-designs-in-r/ Sun, 01 Jan 2023 00:00:00 +0000 https://research.testscience.org/post/2023-implementing-fast-flexible-space-filling-designs-in-r/ Modeling and simulation (M&S) can be a useful tool when testers and evaluators need to augment the data collected during a test event. When planning M&S, testers use experimental design techniques to determine how much and which types of data to collect, and they can use space-filling designs to spread out test points across the operational space. Fast flexible space-filling designs (FFSFDs) are a type of space-filling design useful for M&S because they work well in design spaces with disallowed combinations and permit the inclusion of categorical factors.

Modeling and simulation (M&S) can be a useful tool when testers and evaluators need to augment the data collected during a test event. When planning M&S, testers use experimental design techniques to determine how much and which types of data to collect, and they can use space-filling designs to spread out test points across the operational space. Fast flexible space-filling designs (FFSFDs) are a type of space-filling design useful for M&S because they work well in design spaces with disallowed combinations and permit the inclusion of categorical factors. IDA analysts developed a function to create FFSFDs using the free statistical software R. To our knowledge, there are no R packages for creating an FFSFD that can accommodate a variety of user inputs, such as categorical factors. Moreover, users of IDA’s function can share their code to make their work reproducible.

Suggested Citation

Medlin, Rebecca M, and Christopher T Dimapasok. Space-Filling Designs in R. IDA Document NS 3000045. Alexandria, VA: Institute for Defense Analyses, 2023.

Slides:

]]> Power Analysis Tutorial for Experimental Design Software https://research.testscience.org/post/2014-power-analysis-tutorial-for-experimental-design-software/ Wed, 01 Jan 2014 00:00:00 +0000 https://research.testscience.org/post/2014-power-analysis-tutorial-for-experimental-design-software/ This guide provides both a general explanation of power analysis and specific guidance to successfully interface with two software packages, JMP and Design Expert (DX). Suggested Citation Freeman, Laura J., Thomas H. Johnson, and James R. Simpson. “Power Analysis Tutorial for Experimental Design Software:” Fort Belvoir, VA: Defense Technical Information Center, November 1, 2014. https://doi.org/10.21236/ADA619843. Paper: This guide provides both a general explanation of power analysis and specific guidance to successfully interface with two software packages, JMP and Design Expert (DX).

Suggested Citation

Freeman, Laura J., Thomas H. Johnson, and James R. Simpson. “Power Analysis Tutorial for Experimental Design Software:” Fort Belvoir, VA: Defense Technical Information Center, November 1, 2014. https://doi.org/10.21236/ADA619843.

Paper:

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