Design of Experiments: generate optimal, factorial, screening, response-surface, and other experimental designs; analyze the resulting (or an existing) dataset; and plan sample size with a power calculator.
Supports Optimal, Factorial, Plackett-Burman, RSM, Box-Behnken, CCD, Taguchi, Latin Hypercube, Definitive Screening (DSD), and Full Factorial designs, with model fitting, effect plots, variable selection, and an interactive HTML report.
- IBM SPSS Statistics 18 or later
- IBM SPSS Statistics - Integration Plug-in for R
- R package: AlgDesign (required)
- R packages (optional, enable additional design types/output when installed): FrF2, rsm, desirability, BsMD, ggplot2, gridExtra, leaps, plotly, htmlwidgets, jsonlite
- Open IBM SPSS Statistics
- Navigate to Utilities -> Extension Bundles -> Install Extension Bundle
- Select STATS_DOE_ANALYSIS_v12.spe and click Open. Your extension will be available.
- GPL >= 2.0
- Jon K Peck
- Dr.Aruna Saraswathy