Practical Design and Analysis of Experiments in Statistics Using R

Contents: 1. Basics of Designs of Experiment. 2. Completely Randomized Design (CRD). 3. Randomized Block Design (RBD). 4. Latin Square, Crossover, and Graeco-Latin Square Designs. 5. Incomplete Block Design and Balanced Incomplete Block Design. 7. Split Plot Design and its Variants. 8. Analysis of Covariance and Miscellaneous Topics. Why yet another book on Design and Analysis of Experiments? In contrast to many books by good authors, this book takes a departure and focuses on two aspects like Practical and Using R as depicted in its tile, Practical Design and Analysis of Experiments in Statistics Using R. That is, the author has tried to focus more on the practical computation and graphic presentation of the layouts of the designs of experiments followed by practical computation of complex analyses of variances of various designs, involving fixed, random and mixed linear models using R codes. There are so many books on R. But, mostly deal with the grammar of R language. The subject 'Statistics' as such still needs example based books containing development of the subject matter along with live running codes of R, which a normal user initially finds difficult to frame. From the perspective of filling the same gap in this book Practical Design and Analysis of Experiments in Statistics Using R the author is presenting it to the students and professors of statistics and applied statistics, agricultural scientists and applied scientists, who use designs of experiments for analyzing their data. Many examples have been taken from the fields of agriculture, biology, medical and social science. There is no attempt of explaining the grammar of R language in this book, rather ready-made R-codes have been given here and there to illustrate the underlying concepts, as the author thinks that illustration automatically makes one understand the concepts gradually as a child does while growing.…