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At last, here’s an approachable introduction to the widely used Portable Document Format. PDFs are everywhere, both online and in printed form, but few people take advantage of the useful features or grasp the nuances of this format. This concise book provides a hands-on tour of the world’s leading page-description language for programmers, power users, and professionals in the search, electronic publishing, and printing industries. Illustrated with lots of examples, this book is the documentation you need to fully understand PDF. Build a simple PDF file from scratch in a text editor Learn the layout and content of a PDF file, as well as the syntax of its objects Examine the logical structure of PDF objects, and learn how pages and their resources are arranged into a document Create vector graphics and raster images in PDF, and deal with transparency, color spaces, and patterns Explore PDF operators for building and showing text strings Get up to speed on bookmarks, metadata, hyperlinks, annotations, and file attachments Learn how encryption and document permissions work in PDF Use the pdftk program to process PDF files from the command line
Shows readers how to create PDF documents that are far more powerful than simple representations of paper pages, helps them get around common PDF issues, and introduces them to tools that will allow them to manage content in PDF, navigating it and reusing it as necessary.
The Publication Manual of the American Psychological Association is the style manual of choice for writers, editors, students, and educators in the social and behavioral sciences, nursing, education, business, and related disciplines.
Designed specifically for undergraduate writing, this easy-to-use pocket guide provides complete guidance for new writers on effective, clear, and inclusive scholarly communication and the essentials of formatting papers and other course assignments.
Searchable electronic version of print product with fully hyperlinked cross-references.
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.