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Informationen zum Autor Thomas P. Hogan , Ph.D. is professorof psychology and Distinguished University Fellow at the University of Scranton . He teaches courses in statistics, researchmethods, psychological testing, and educational assessment. While doing so, he has received all three ofthe University’s teaching awards. Priorto his time as full-time professor, he served as Dean of the Graduate School and Director of Research and as Interim Provost/Academic Vice President at Scranton . Previously, he was professor of psychology,Associate Chancellor for Graduate and Professional Programs, and Co-Director ofthe Assessment Center at the University of Wisconsin-GreenBay. He is the author or co-author ofseveral nationally used standardized tests, textbooks on psychological testingand educational assessment, and over 100 published articles and presentationsrelated to psychological and educational measurement. He serves frequently as a consultant togovernment agencies, professional organizations, and businesses on matters ofmeasurement, research design, and statistical analysis. He holds a bachelor’s degree from John Carroll University and both master’s anddoctoral degrees from Fordham University , with aspecialization in psychometrics. Klappentext Bare-Bones R provides a practical, hands-on introduction to the elements of R and R Commander. Assuming no background in computer programming, author Thomas P. Hogan guides the novice in using these valuable tools for statistical analysis. The book walks the reader through steps for downloading and then works through examples of basic statistical processing.A Student Study Site contains downloadable data sets used in the text as well as selected updates for R. Zusammenfassung A practical! hands-on introduction to the elements of R and R Commander. Inhaltsverzeichnis Table of Contents Preface Acknowledgments About the Author Part 1: Base R 1-1: What is R? 1-2: R¿s Up¿s and Down¿s 1-3: Getting Started: Loading R 1-4: Getting Started Really: Using R as a Calculator 1-5: Creating a Data Set 1-6: Using R Functions: Simple Ones 1-7: Reading in Larger Data Sets 1-8: Getting Help 1-9: Dealing with Missing Data 1-10: Using R Functions: Hypothesis-tests 1-11: R Functions for Com...
