Annotation The American president's character matters. To most Americans, it matters deeply. But how do we define what character means, and why can't we agree? In this sober, probing consideration of "the character factor" and the presidency, veteran political analyst James P. Pfiffner leads us through a survey of three aspects of presidential character that have proved problematic for recent chief executives: lies, promise-keeping, and sexual probity. His goal is not to tell us which presidents have been "good" and which "bad." Rather, he helps us think critically and impartially about complex character issues and invites us to reach our own conclusions. The Character Factor avoids both moral judgments and cynicism. It helps us look at our presidents (and our presidential candidates) without illusions, knowing that flawed men can still be great leaders but that some flaws deserve defeat at the polls--or even the ultimate presidential sanction, impeachment.

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

"What creates success? Is it skill? Talent? Ambition? Luck? Expertise? Perhaps it's knowing the right people, saying the right things or simply being at the right place at the right time. It's none of the above. While a variety of factors form our abilities and influence the events in our lives, there is only one thing that creates genuine success: character. Character is a unique set of moral and ethical qualities that define what you believe in, what you stand for, and what you expect of yourself and others. London asserts that how you act on these qualities -- your statement of character -- will determine how far you will go; whether you will succeed or fail. Success is also distinctively defined as acting with honesty and integrity, performing to the best of your ability, and appreciating the people who helped you achieve your goals. Character : the ultimate success factor demonstrates how character -- expressed through attitude, action, and resilience -- drives success. Just some of the simple and tangible lessons covered by London include: assessing your attitude; aligning yourself with the right people and organizations; envisioning goals; identifying opportunities; embracing change; speaking up; making decisions; accepting risk; overcoming fear; creating momentum. Based on the personal, corporate and military experiences of Dr. J. Phillip London, a successful defense industry executive, as well as many other real-life examples, this book presents the time-tested lessons behind character-driven success"--Dust jacket.

Why, when it comes to politics, do we often seem so gullible and uninformed? InPolitical Animals, the bestselling historian and journalist Rick Shenkman reveals the hidden biases at work in all of us when we enter the voting booth. Drawing on cutting-edge research in neuroscience, evolutionary psychology, and behavioral psychology, he explains that evolution has left us with a brain wired for the Stone Age. While these ancient instincts often work to our advantage in our personal lives, in politics they usually don't. Modern cues set off ancient instinctive responses that prompt us to behave in ways contrary to the good governance of our nation. Shenkman illuminates not only the curious habits of the American voter today but also the ways in which voter biases have shaped American political historyfrom the shark attacks that got Woodrow Wilson elected to the people who still defend Richard Nixon against the Watergate charges. In so doing, Shenkman probes the depths of the human mind to reveal what we must do to fix our floundering democracy.

The General Factor of Personality improves our understanding of the personality structure and the relations between major personality dimensions, as well as major dimensions of the entire non-cognitive sphere of psychological variables. The results of the empirical testing and theoretical evaluations in this book contribute to the more comprehensive and precise theoretical framework of the General Factor of Personality (GFP) and that of the entire personality structure. Additionally, the book answers some unresolved questions concerning the nature of the GFP, including whether it is based more on correlations in real behavior or on other less substantial factors between lower-order dimensions of personality. This book is crucially important not only for theoretical reasons, but also for the tremendous practical and applied value of the assumed general dimension of personality. As a common denominator of all the most important fields of personality beyond cognition (Big Five, well-being, coping, emotionality, motivation, self-concept, self-esteem, control, wisdom and others), the GFP represents an extremely strong single predictor of the quality of life, mental health and well-being, career, academic success, and the quality of family and interpersonal relations. - Reviews the theoretical and methodological work on the General Factor of Personality (GFP) - Presents major research results in the field of GFP and the dimensional structure of personality - Provides a balanced and objective approach to the topic of GFP, addressing criticisms and controversies - Considers the practical and applied aspects of this research - Draws conclusions on the bioevolutionary model of GFP to give a more thorough understanding of biological bases of human personality

Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research department at AT&T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling data.