Co-discoverer of the first successful allogeneic bone marrow transplant. He received the Nobel Prize for medicine in 1969 for his work on transplantation. He is the Chairperson of the Department of Microbiology, Immunology and Tropical Medicine, College of Medicine, University of Hawaii. He received his PhD at the Johns Hopkins School of Medicine. He has been selected, with Dr. Thomas E. Starzl, to be inducted into the National Academy of Sciences in recognition of his “contributions to the understanding of transplantation and related immunologic phenomena” (1989). He has served as Chief of the Transplantation Branch of the NCI, currently the longest-tenured Director of the National Cancer Institute. He has also served as Director of the NCI, the first physician-scientist to hold this position, and was President of the American Society of Clinical Oncology (1994-1996). He was the founding editor of the Journal of Transplantation (1962-2004) and the founding editor of Blood (1978-2003). He has received many honors for his work, including the TIA Gold Medal for lifetime achievement, the American Society of Hematology’s Distinguished Scientist Award, the JAMA’s Distinguished Achievement Award, the Heinz Werner Buechner Prize, the Paul Ehrlich and Ludwig Darmstaedter Prize, the Max Wertheimer Award of the Transplantation Society, the Henry Murray Prize for Clinical Research from the Lymphoma Foundation of America, the Distinguished Scientist Award from the International Society of Hematology, the William Beecher Scull Award from the American Society of Clinical Oncology, the Harvey Kornberg Award from the American Society of Hematology and the Robert N. Butler Prize for Innovative Cancer Research from the American Society of Clinical Oncology.
Chapter 7 will cover how to manipulate data and use functions to carry out complex data analysis. The chapter will end with a discussion of the use of functions in data mining.
Chapter 6 will cover how to use functions to automate repetitive actions and reduce typing. It will also cover the use of functions to create interactive data visualization. The final chapter in this section will cover the basic problem of computing the difference between two vectors and the various ways to solve the problem.
I realise this explanation has been a bit long-winded, but that's because this is a powerful technique. It's also very easy to use. Just make sure you write the function in a way that mimics the behaviour of the standard R language!
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