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.

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.

This book is devoted to the construction of space group representations, their tabulation, and illustration of their use. Representation theory of space groups has a wide range of applications in modern physics and chemistry, including studies of electron and phonon spectra, structural and magnetic phase transitions, spectroscopy, neutron scattering, and superconductivity. The book presents a clear and practical method of deducing the matrices of all irreducible representations, including double-valued, and tabulates the matrices of irreducible projective representations for all 32 crystallographic point groups. One obtains the irreducible representations of all 230 space groups by multiplying the matrices presented in these compact and convenient to use tables by easily computed factors. A number of applications to the electronic band structure calculations are illustrated through real-life examples of different crystal structures. The book's content is accessible to both graduate and advanced undergraduate students with elementary knowledge of group theory and is useful to a wide range of experimentalists and theorists in materials and solid-state physics.