The statistical model captures the main statistical formulas/theories covered in each chapter, while the visual representation addresses the subject of the types of visualization that are produced from the statistical analysis model covered in that particular chapter.ĭon’t miss the book’s companion Web site at ĭon’t miss the book’s companion Web site at Functions and Data for the Book, a Primer of Ecology with Rįunctions are primarily functions for systems of ordinary differential equations, difference equations, and eigenanalysis and projection of demographic matrices data are for examples. the last section provides examples and references.Įvery chapter illustrates how to use Open Source R and features two subsections for the major ideas of the chapter: its statistical model and its visual representation.section 4 covers decision making from the analysis and.section 3 covers the subject of visualization creation using Open Source R.

the second section discusses basic statistical concepts, including descriptive, bivariate, time series, and regression analyses.

the first section introduces research design and data collection.

This book is arranged in 17 chapters, which are organized into five main sections: The textbook provides a visual road map that is customized specifically for Information Science instructors, students, and professionals regarding statistics and visualization.Įach chapter in the book includes full-color illustrations on how to use R for the statistical model that particular chapter will cover. It has specific examples of dataset sets, scripts, design modules, data repositories, homework assignments, and a glossary lexicon that matches the field of Information Science. The book is tailored for information science students and professionals.

It emphasizes concepts of statistical theory and data collection methodologies, but also extends to the topics of visualization creation and display, so that the reader will be able to better conduct statistical analysis and communicate his/her findings. Statistics for Library and Information Services, written for non-statisticians, provides logical, user-friendly, and step-by-step instructions to make statistics more accessible for students and professionals in the field of Information Science.

Primer 6 statistical software