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Author : Thomas P. Hogan
Publisher : SAGE
Page : 97 pages
File Size : 43,7 Mb
Release : 2010
Category : Computers
ISBN : 9781412980418
A practical, hands-on introduction to the elements of R and R Commander.
Author : Thomas P. Hogan
Publisher : Unknown
Page : 79 pages
File Size : 47,8 Mb
Release : 2010
Category : R (Computer program language)
ISBN : 1452230609
This text provides a practical, hands-on introduction to the elements of R and R Commander. Assuming no background in computer programming, author Thomas P. Hogan guides the novice in using these valuable tools for statistical analysis. The book walks the reader through steps for downloading and then works through examples of basic statistical processing.
Author : Kathy Reichs
Publisher : Simon and Schuster
Page : 320 pages
File Size : 40,8 Mb
Release : 2014-12-02
Category : Fiction
ISBN : 9781501102752
Now in a new paperback repackage, Bare Bones sees Temperance Brennan back in her home base of North Carolina, where several sets of bones, both human and animal, lead her on a terrifying hunt for a killer. It's a summer of sizzling heat in Charlotte where Dr. Temperance Brennan, forensic anthropologist for the North Carolina medical examiner, looks forward to her first vacation in years. A romantic vacation. She's almost out the door when the bones start appearing. A newborn's charred remains turn up in a woodstove. The mother, Tamela Banks, hardly more than a child herself, has disappeared. Did she kill her infant, or is an innocent teenager also about to become a victim? A small plane crashes in a North Carolina cornfield on a sunny afternoon. Both pilot and passenger are burned beyond recognition. Was it pilot error? Something more sinister? And what is the mysterious black substance covering the bodies? Most puzzling of all are the bones discovered at a remote farm outside Charlotte. What has Tempe's dog, Boyd, unearthed? The remains seem to be of animal origin, but Tempe is shocked when she gets them to her lab. With help from a special detective friend, Tempe must investigate a poignant and terrifying case that comes at the worst possible moment: Tempe’s daughter Katy has a new boyfriend who Tempe fears may have something to hide. And Tempe herself faces important personal decisions. Is it time for emotional commitment? Will she even have the chance to find out? Everything must wait on the bones. What story do they tell? Why are the X rays and DNA so perplexing? Who is trying to keep Tempe from the answers? Someone is following her. Someone is following Katy. That someone must be stopped before it's too late.
Author : Ralph R. Rossell
Publisher : Dog Ear Publishing
Page : 272 pages
File Size : 48,8 Mb
Release : 2017-11-30
Category : Biography & Autobiography
ISBN : 9781457557019
Growing up, living in, and working in a small-town funeral home may not be for everyone, but it certainly means life is never dull. Ralph was born the month his father and mother moved to Flushing, Michigan, to work in his uncle’s funeral home. Dinners and sleep interrupted by calls from families were a common occurrence, but so were the heart-warming moments helping grieving families. The Life of Death is a collection of stories about Ralph’s memories of the funeral home, both growing up and then working there as a licensed funeral director for more than 45 years. His tales range from the ironic, such as a widow learns of a secret windfall only after selling the item at a garage sale, to the inspired, when a hard-hearted minister gets an earful about preaching to those who need it and reaches out to the family. Ralph includes humorous stories: a power outage that causes a minister to be late to the funeral of a man who was never on time, a family concerned about the smell of smoke that later requests an area to smoke cigarettes, and a funeral service that is over almost before it begins. And the book would not be complete without a few paranormal experiences. Step through the doors of the funeral home via Ralph’s memory for an unforgettable glimpse into small-town life, the business of funerals, and the very human responses to the mysteries of death.
Author : Robyn Blakeman
Publisher : Rowman & Littlefield Publishers
Page : 200 pages
File Size : 45,5 Mb
Release : 2005
Category : Art
ISBN : IND:30000054697960
A hilarious illustrated book in the growing gay and bi-curious market. A total original. "George was a straight little monkey but always very... curious. One day George saw a man. He had on a sassy purple beret. And George got excited, despite himself." And so begins the saga of Bi-Curious George. People of all ages and predilections will love this hilariously clever parody of one of the most beloved classic children's books of all time. Just don't read it to your kids.
Author : Jennifer L. Armentrout
Publisher : Blue Box Press
Page : 395 pages
File Size : 43,8 Mb
Release : 2021-04-20
Category : Fiction
ISBN : 9781952457241
Bow Before Your Queen Or Bleed Before Her… From #1 New York Times bestselling author Jennifer L. Armentrout comes book three in her Blood and Ash series. She's been the victim and the survivor… Poppy never dreamed she would find the love she’s found with Prince Casteel. She wants to revel in her happiness but first they must free his brother and find hers. It’s a dangerous mission and one with far-reaching consequences neither dreamed of. Because Poppy is the Chosen, the Blessed. The true ruler of Atlantia. She carries the blood of the King of Gods within her. By right the crown and the kingdom are hers. The enemy and the warrior… Poppy has only ever wanted to control her own life, not the lives of others, but now she must choose to either forsake her birthright or seize the gilded crown and become the Queen of Flesh and Fire. But as the kingdoms’ dark sins and blood-drenched secrets finally unravel, a long-forgotten power rises to pose a genuine threat. And they will stop at nothing to ensure that the crown never sits upon Poppy’s head. A lover and heartmate… But the greatest threat to them and to Atlantia is what awaits in the far west, where the Queen of Blood and Ash has her own plans, ones she has waited hundreds of years to carry out. Poppy and Casteel must consider the impossible—travel to the Lands of the Gods and wake the King himself. And as shocking secrets and the harshest betrayals come to light, and enemies emerge to threaten everything Poppy and Casteel have fought for, they will discover just how far they are willing to go for their people—and each other. And now she will become Queen…
Author : Alice Choyke,Sonia O'Connor
Publisher : Oxbow Books
Page : 256 pages
File Size : 42,8 Mb
Release : 2013-12-19
Category : Social Science
ISBN : 9781782972129
A fundamental component of the study of worked osseous objects is the identification of the raw materials chosen to make them. In archaeological contexts many objects become degraded to the point where identification is very difficult and the way in which these materials decay during burial and upon excavation can vary greatly. Correct identification is crucial to the investigation of objects, their conservation and future curation. Above all, understanding raw material selection aids our understanding of human-animal interaction in the past both on pragmatic and symbolic levels since the choices made by artisans vary by cultural tradition as well as availability. The 20 papers presented here explore a wealth of information pertaining to the use of osseous materials over the long period of human craftsmanship and tool manufacture by exploring several key themes: · Raw material selection and curation within tool types · Social aspects of raw material selection · New methods of materials identification It is demonstrated that the issue of raw material identification has numerous implications for conservation work, reproduction of objects, the physical characteristics of the tool or ornament, availability of raw materials, the materials chosen for procurement and the cultural reasons that lie behind the choice of raw materials from particular species and skeletal elements to produce planned tool and ornament types. Together, these papers emphasize the need for confident and correct materials identification and demonstrate that functionality is by no means the only, nor necessarily the most important, factor in the selection of osseous raw materials for the fabrication of tools and other cultural objects.
Author : Anonim
Publisher : Ardent Media
Page : 826 pages
File Size : 54,9 Mb
Release : 2024-05-01
Category : Electronic
ISBN : 8210379456XXX
Author : Pablo Inchausti
Publisher : Oxford University Press
Page : 519 pages
File Size : 45,5 Mb
Release : 2023-01-11
Category : Mathematics
ISBN : 9780192859013
To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or classical) and Bayesian. Scientists typically choose the statistical framework to analyse their data depending on the nature and complexity of the problem, and based on their personal views and prior training on probability and uncertainty. Although textbooks and courses should reflect and anticipate this dual reality, they rarely do so. This accessible textbook explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scientists. It presents the material in an informal, approachable, and progressive manner suitable for readers with only a basic knowledge of calculus and statistics. Statistical Modeling with R is aimed at senior undergraduate and graduate students, professional researchers, and practitioners throughout the life sciences, seeking to strengthen their understanding of quantitative methods and to apply them successfully to real world scenarios, whether in the fields of ecology, evolution, environmental studies, or computational biology.
Author : Elizabeth Gohmert,Quan Li,Douglas Wise
Publisher : SAGE Publications
Page : 194 pages
File Size : 52,6 Mb
Release : 2020-01-02
Category : Social Science
ISBN : 9781544379425
Do you want to learn R? This book is built on the premise that anyone with a bit of free time and a healthy curiosity can learn to use R in their studies or at work. The authors focus on using R to do useful things like writing reports, creating data and graphs, accessing datasets collected by others, preparing data, and conducting simple data analysis. In this book you’ll learn how to: install R and RStudio®, and set up an RStudio® project and folders; write an essay with graphs based on simple real-world data using R Markdown; create variables from everyday numeric information and visualize data through five types of charts—bar plot, histogram, pie chart, scatter plot, and time series line plot—to identify patterns in the data; write and run R programs, and prepare your data following the tidyverse approach; import external datasets into R, install R data packages, and carry out initial data validity checks; conduct exploratory data analysis through three exercises involving data on voting outcomes, natural resource consumption, and gross domestic product (GDP) via data visualization, correlation coefficient, and simple regression; and write a research paper on the impact of GDP per capita on life expectancy using R Markdown. Student-friendly language and examples (such as binge-watched shows on Netflix, and the top 5 songs on Spotify), cumulative learning, and practice exercises make this a must-have guide for a variety of courses where data are used and reports need to be written. Code and datasets used to carry out the examples in the book are available on an accompanying website.
Author : Brian Joseph Gillespie,Kathleen Charli Hibbert,William E. Wagner, III
Publisher : SAGE Publications
Page : 268 pages
File Size : 54,6 Mb
Release : 2020-02-07
Category : Social Science
ISBN : 9781544344003
A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudio®. The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text follows the most common progression of statistics for social scientists. The guide also serves as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. This guide can teach anyone how to use R to analyze data, and uses frequent reminders of basic statistical concepts to accompany instructions in R to help walk students through the basics of learning how to use R for statistics.
Author : John E Hunter,Frank L. Schmidt
Publisher : SAGE
Page : 616 pages
File Size : 55,8 Mb
Release : 2004-04-19
Category : Social Science
ISBN : 9781412909129
Covering the most important developments in meta-analysis from 1990 to 2004, this text presents new patterns in research findings as well as updated information on existing topics.
Author : Jeffrey S. Saltz,Jeffrey M. Stanton
Publisher : SAGE Publications
Page : 485 pages
File Size : 53,7 Mb
Release : 2021-02-14
Category : Business & Economics
ISBN : 9781544370460
Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with R provides readers with a straightforward and applied guide to this new and evolving field.
Author : Neil Anderson
Publisher : SAGE
Page : 524 pages
File Size : 53,9 Mb
Release : 2001-12-20
Category : Business & Economics
ISBN : 0761964886
This volume mainly focuses on theories, techniques and methods used by industrial and work psychologists. Internationally renowned authors summarize advances in core topics.
Author : Prabhanjan Narayanachar Tattar
Publisher : Packt Publishing Ltd
Page : 376 pages
File Size : 45,8 Mb
Release : 2018-07-27
Category : Computers
ISBN : 9781788629171
Explore powerful R packages to create predictive models using ensemble methods Key Features Implement machine learning algorithms to build ensemble-efficient models Explore powerful R packages to create predictive models using ensemble methods Learn to build ensemble models on large datasets using a practical approach Book Description Ensemble techniques are used for combining two or more similar or dissimilar machine learning algorithms to create a stronger model. Such a model delivers superior prediction power and can give your datasets a boost in accuracy. Hands-On Ensemble Learning with R begins with the important statistical resampling methods. You will then walk through the central trilogy of ensemble techniques – bagging, random forest, and boosting – then you'll learn how they can be used to provide greater accuracy on large datasets using popular R packages. You will learn how to combine model predictions using different machine learning algorithms to build ensemble models. In addition to this, you will explore how to improve the performance of your ensemble models. By the end of this book, you will have learned how machine learning algorithms can be combined to reduce common problems and build simple efficient ensemble models with the help of real-world examples. What you will learn Carry out an essential review of re-sampling methods, bootstrap, and jackknife Explore the key ensemble methods: bagging, random forests, and boosting Use multiple algorithms to make strong predictive models Enjoy a comprehensive treatment of boosting methods Supplement methods with statistical tests, such as ROC Walk through data structures in classification, regression, survival, and time series data Use the supplied R code to implement ensemble methods Learn stacking method to combine heterogeneous machine learning models Who this book is for This book is for you if you are a data scientist or machine learning developer who wants to implement machine learning techniques by building ensemble models with the power of R. You will learn how to combine different machine learning algorithms to perform efficient data processing. Basic knowledge of machine learning techniques and programming knowledge of R would be an added advantage.