Discover the Art of Moment Making"It's time to live life in the Front Row(tm)'," says Jon Vroman, author of The Front Row Factor: Transform Your Life with The Art of Moment Making. This book is a collection of inspiring stories, compelling science, and life strategies that teaches you about the power of hope for the future and celebrating your past to bring power to the present moment.It helps readers cultivate an empowering mindset, create life-long relationships and design an environment where you can thrive regardless of life conditions.As the founder of Front Row Foundation, Jon has spent more than a decade helping children and adults with life threatening illnesses have a front row experience at the live event of their dreams. This book is everything you can learn about life from those fighting for it.More than anything, The Front Row Factor will challenge you to explore your values, establish priorities and reconnect you to a higher purpose and deeper meaning within your life. The author reveals timeless principles that help you Live Life In The Front Row(tm) so you can make the most of every moment, starting now.

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

The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.

NEW YORK TIMES BESTSELLER “Compelling… this book couldn’t be more timely.” – Jill Abramson, New York Times Book Review From the Recipient of the 2017 Walter Cronkite Award for Excellence in Journalism Called "disgraceful," "third-rate," and "not nice" by Donald Trump, NBC News correspondent Katy Tur reported on—and took flak from—the most captivating and volatile presidential candidate in American history. Katy Tur lived out of a suitcase for a year and a half, following Trump around the country, powered by packets of peanut butter and kept clean with dry shampoo. She visited forty states with the candidate, made more than 3,800 live television reports, and tried to endure a gazillion loops of Elton John’s "Tiny Dancer"—a Trump rally playlist staple. From day 1 to day 500, Tur documented Trump’s inconsistencies, fact-checked his falsities, and called him out on his lies. In return, Trump repeatedly singled Tur out. He tried to charm her, intimidate her, and shame her. At one point, he got a crowd so riled up against Tur, Secret Service agents had to walk her to her car. None of it worked. Facts are stubborn. So was Tur. She was part of the first women-led politics team in the history of network news. The Boys on the Bus became the Girls on the Plane. But the circus remained. Through all the long nights, wild scoops, naked chauvinism, dodgy staffers, and fevered debates, no one had a better view than Tur. Unbelievable is her darkly comic, fascinatingly bizarre, and often scary story of how America sent a former reality show host to the White House. It’s also the story of what it was like for Tur to be there as it happened, inside a no-rules world where reporters were spat on, demeaned, and discredited. Tur was a foreign correspondent who came home to her most foreign story of all. Unbelievable is a must-read for anyone who still wakes up and wonders, Is this real life?

When religion reporter Cathleen Falsani climbed aboard Bono's tour bus, it was to interview the rock start about AIDS awareness. Instead, they plunged into a lively discussion about faith. "This is a defining moment for us," Bono said. "For the culture we live in." Spirituality clearly now plays a key role in the United States. But what is also clear is that faith is a more complex issue than snapshots of the country convey. Jesus. Buddha. Kabbalah. Angels. This may be a nation of believers but not of one belief—of many. To shape a candid picture of modern faith, Falsani sat down with an array of people who shape our culture, and in turn, our collective consciousness. She's talked about Jesus with Anne Rice; explored "Playboy theology" with Hugh Hefner; discussed evil with crusading attorney Barry Scheck, and heaven with Senator Barack Obama. Laura Esquivel, basketball star Hakeem Olajuwon, Studs Terkel, guru Iyanla Vanzant, rockers Melissa Etheridge and Annie Lennox, economist Jeffrey Sachs, Pulitzer-winning playwright John Patrick Shanley—all opened up to her. The resulting interviews, more than twenty-five in all, offer a fresh, occasionally controversial, and always illuminating look at the beliefs that shape our lives. THE GOD FACTOR is a book for the believers, the seekers, as well as the merely curious among us. Included are interviews with Sherman Alexie, Bono, Dusty Baker, Sandra Bernhard, Sandra Cisneros, Billy Corgan, Kurt Elling, Laura Esquivel, Melissa Etheridge, Jonathan Safran Foer, Mike Gerson, Seamus Heaney, Hugh Hefner, Dr. Henry Lee, Annie Lennox, David Lynch, John Mahoney, Mark Morris, Mancow Muller, Senator Barack Obama, Hakeem Olajuwon, Harold Ramis, Anne Rice, Tom Robbins, Russell Simmons, Jeffrey Sachs , Barry Scheck, John Patrick Shanley , The Reverend Al Sharpton, Studs Terkel, Iyanla Vanzant, and Elie Wiesel.

"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com