The R Inferno

An essential guide to the trouble spots and oddities of R. In spite of the quirks exposed here, R is the best computing environment for most data analysis tasks. R is free, open-source, and has thousands of contributed packages. It is used in such diverse fields as ecology, finance, genomics and music. If you are using spreadsheets to understand data, switch to R. You will have safer -- and ultimately, more convenient -- computations.

divdivA towering figure in world literature, Dante wrote his great epic poem Commedia in the early fourteenth century. The work gained universal acclaim and came to be known as La Divina Commedia, or The Divine Comedy. Giuseppe Mazzotta brings Dante and his masterpiece to life in this exploration of the man, his cultural milieu, and his endlessly fascinating works.div /DIVdivBased on Mazzotta’s highly popular Yale course, this book offers a critical reading of The Divine Comedy and selected other works by Dante. Through an analysis of Dante’s autobiographical Vita nuova, Mazzotta establishes the poetic and political circumstances of The Divine Comedy. He situates the three sections of the poem—Inferno, Purgatory, Paradise—within the intellectual and social context of the late Middle Ages, and he explores the political, philosophical, and theological topics with which Dante was particularly concerned./DIV/DIV/DIV

Collects Inferno (2021) #1-4. He changed everything for mutantkind with HOUSE OF X and POWERS OF X. He explored the new Krakoan era in X-MEN. Now the keeper of the mutant flame, Jonathan Hickman, presents his final, incendiary X-saga! Mystique, former terrorist and espionage agent supreme, is loyal to Professor X's Quiet Council for one reason only: the promise that someday he will resurrect her beloved Destiny. But when Moira MacTaggert helped Professor X and Magneto realize their lifelong dreams for mutantkind, it came with one condition: Do not allow any precognitive mutants on the island of Krakoa. What will Mystique do when she realizes she's being strung along? Vengeance burns hot, and Mystique is about to ignite an Inferno! And where has the elusive Moira been all this time, anyway?

The first complete developer's guide to this exciting new breakthrough technology. The Inferno operating system is ideal for building interactive applications for set-top boxes, PDAs, palm-tops, and other networked devices that have limited computing resources, but need to handle multimedia such as streaming audio and video. This book provides a comprehensive guide to this technology. * Written by the host of the Inferno/Limbo FAQ *This is the first complete developer's guide to building Inferno applications with Limbo *Each chapter lists common programming pitfalls to avoid *Each chapter also features an in-depth analysis of a complete sample application that uses the particular concepts covered in it

An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.

Rachel Owen's hauntingly beautiful illustrations for Dante's Inferno take a radically new approach to representing the world of Dante's famous poem. The images combine the artist's deep cultural and historical understanding of 'The Divine Comedy' and its artistic legacy with her unique talent for collage and printmaking. These illustrations, casting the viewer as a first-person pilgrim through the underworld, prompt us to rethink Dante's poem through their novel perspective and visual language. Owen's work, held in the Bodleian Library and published here for the first time, illustrates the complete cycle of thirty-four cantos of the Inferno with one image per canto. The illustrations are accompanied by essays contextualising Owen's work and supplemented by six illustrations intended for the unfinished Purgatorio series. Fiona Whitehouse provides details of the techniques employed by the artist, Peter Hainsworth situates Owen's work in the field of modern Dante illustration and David Bowe offers a commentary on the illustrations as gateways to Dante's poem. Jamie McKendrick and Bernard O'Donoghue's translations of episodes from the 'Inferno' provide complementary artistic interpretations of Dante's poem, while reflections from colleagues and friends commemorate Owen's life and work as an artist, scholar and teacher. This stunning collection is an important contribution to both Dante scholarship and illustration.

Poet, essayist and performer Eileen Myles' chronicle transmits an energy and vividness that will not soon leave its readers. Her story of a young female writer, discovering both her sexuality and her own creative drive in the meditative and raucous environment that was New York City in its punk and indie heyday, is engrossing, poignant, and funny.

Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. COVERAGE INCLUDES • Exploring R, RStudio, and R packages • Using R for math: variable types, vectors, calling functions, and more • Exploiting data structures, including data.frames, matrices, and lists • Creating attractive, intuitive statistical graphics • Writing user-defined functions • Controlling program flow with if, ifelse, and complex checks • Improving program efficiency with group manipulations • Combining and reshaping multiple datasets • Manipulating strings using R’s facilities and regular expressions • Creating normal, binomial, and Poisson probability distributions • Programming basic statistics: mean, standard deviation, and t-tests • Building linear, generalized linear, and nonlinear models • Assessing the quality of models and variable selection • Preventing overfitting, using the Elastic Net and Bayesian methods • Analyzing univariate and multivariate time series data • Grouping data via K-means and hierarchical clustering • Preparing reports, slideshows, and web pages with knitr • Building reusable R packages with devtools and Rcpp • Getting involved with the R global community