First multi-year cumulation covers six years: 1965-70.

This first volume of the Collected Works of Mihaly Csikszentmihalyi represents his work on Art and Creativity. Starting with his seminal 1964 study on creativity up to his 2010 publication in Newsweek, the volume spans over four decades of research and writing and clearly shows Csikszentmihalyi’s own development as an academic, psychologist, researcher and person. Unconventional and unorthodox in his approach, Csikszentmihalyi chose the topic of creativity as a field of study believing it would help him be a better psychologist and advance his understanding of how to live a better life. The chapters in this volume trace the history of the study of creativity back to the days of Guilford and research on IQ and Jacob Getzels’ work on creativity and intelligence. Firmly grounded in that history, yet extending it in new directions, Mihaly Csikszentmihalyi started his life-long study on artistic creativity. His first extensive study at the School of the Art Institute of Chicago enabled him to observe, test and interview fine art students drawing in a studio. The study formed the very basis of all his work on the subject and has resulted in several articles, represented in this volume, on such creativity-related concepts as problem solving versus problem finding, the personality of the artist, the influence of the social context, creativity as a social construction, developmental issues and flow. The main contribution to the topic of creativity and also the main concept explored in this volume, is the Systems Model of Creativity. Seven chapters in this volume discuss the development of this conceptual model and theory.

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.