Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently experimenters seldom think about optimal design including prerequisites such as the necessary sample size needed for a precise answer for an experimental question. Providing a concise introduction to experimental design theory Optimal Experimental Design with R: Introduces the philosophy of experimental design Provides an easy process for constructing experimental designs and calculating necessary sample size using R programs Teaches by example using a custom made R program package: OPDOE Consisting of detailed data-rich examples this book introduces experimenters to the philosophy of experimentation experimental design and data collection. It gives researchers and statisticians guidance in the construction of optimum experimental designs using R programs including sample size calculations hypothesis testing and confidence estimation. A final chapter of in-depth theoretical details is included for interested mathematical statisticians. . Language: English