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Using the R Commander A Point-and-Click Interface for R

The R Student Companion

The R Student Companion

R is the amazing free open-access software package for scientific graphs and calculations used by scientists worldwide. The R Student Companion is a student-oriented manual describing how to use R in high school and college science and mathematics courses. Written for beginners in scientific computation the book assumes the reader has just some high school algebra and has no computer programming background. The author presents applications drawn from all sciences and social sciences and includes the most often used features of R in an appendix. In addition each chapter provides a set of computational challenges: exercises in R calculations that are designed to be performed alone or in groups. Several of the chapters explore algebra concepts that are highly useful in scientific applications such as quadratic equations systems of linear equations trigonometric functions and exponential functions. Each chapter provides an instructional review of the algebra concept followed by a hands-on guide to performing calculations and graphing in R. R is intuitive even fun. Fantastic publication-quality graphs of data equations or both can be produced with little effort. By integrating mathematical computation and scientific illustration early in a student‘s development R use can enhance one's understanding of even the most difficult scientific concepts. While R has gained a strong reputation as a package for statistical analysis The R Student Companion approaches R more completely as a comprehensive tool for scientific computing and graphing.

GBP 175.00
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Visualizing Surveys in R

bookdown Authoring Books and Technical Documents with R Markdown

bookdown Authoring Books and Technical Documents with R Markdown

bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown and extends R Markdown for technical writing so that you can make better use of document elements such as figures tables equations theorems citations and references. Similar to LaTeX you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats including LaTeX/PDF HTML EPUB and Word thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers reports dissertations course handouts study notes and even novels. You do not have to use R either. Other choices of computing languages include Python C C plus plus SQL Bash Stan JavaScript and so on although R is best supported. You can also leave out computing for example to write a fiction. This book itself is an example of publishing with bookdown and R Markdown and its source is fully available on GitHub. | bookdown Authoring Books and Technical Documents with R Markdown

GBP 89.99
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Finite Element Computations in Mechanics with R A Problem-Centered Programming Approach

The Literary Role of History in the Fiction of J. R. R. Tolkien

Remote Sensing Data Analysis in R

The Management Thought of Louis R. Pondy Reclaiming the Enthinkment Path

Spatio–Temporal Methods in Environmental Epidemiology with R

Spatio–Temporal Methods in Environmental Epidemiology with R

Spatio-Temporal Methods in Environmental Epidemiology with R like its First Edition explores the interface between environmental epidemiology and spatio-temporal modeling. It links recent developments in spatio-temporal theory with epidemiological applications. Drawing on real-life problems it shows how recent advances in methodology can assess the health risks associated with environmental hazards. The book's clear guidelines enable the implementation of the methodology and estimation of risks in practice. New additions to the Second Edition include: a thorough exploration of the underlying concepts behind knowledge discovery through data; a new chapter on extracting information from data using R and the tidyverse; additional material on methods for Bayesian computation including the use of NIMBLE and Stan; new methods for performing spatio-temporal analysis and an updated chapter containing further topics. Throughout the book there are new examples and the presentation of R code for examples has been extended. Along with these additions the book now has a GitHub site (https://spacetime-environ. github. io/stepi2) that contains data code and further worked examples. Features:• Explores the interface between environmental epidemiology and spatio­-temporal modeling• Incorporates examples that show how spatio-temporal methodology can inform societal concerns about the effects of environmental hazards on health• Uses a Bayesian foundation on which to build an integrated approach to spatio-temporal modeling and environmental epidemiology• Discusses data analysis and topics such as data visualization mapping wrangling and analysis• Shows how to design networks for monitoring hazardous environmental processes and the ill effects of preferential sampling• Through the listing and application of code shows the power of R tidyverse NIMBLE and Stan and other modern tools in performing complex data analysis and modelingRepresenting a continuing important direction in environmental epidemiology this book – in full color throughout – underscores the increasing need to consider dependencies in both space and time when modeling epidemiological data. Readers will learn how to identify and model patterns in spatio-temporal data and how to exploit dependencies over space and time to reduce bias and inefficiency when estimating risks to health. | Spatio–Temporal Methods in Environmental Epidemiology with R

GBP 89.99
1

Structural Equation Modeling Using R/SAS A Step-by-Step Approach with Real Data Analysis

Structural Equation Modeling Using R/SAS A Step-by-Step Approach with Real Data Analysis

There has been considerable attention to making the methodologies of structural equation modeling available to researchers practitioners and students along with commonly used software. Structural Equation Modelling Using R/SAS aims to bring it all together to provide a concise point-of-reference for the most commonly used structural equation modeling from the fundamental level to the advanced level. This book is intended to contribute to the rapid development in structural equation modeling and its applications to real-world data. Straightforward explanations of the statistical theory and models related to structural equation models are provided using a compilation of a variety of publicly available data to provide an illustration of data analytics in a step-by-step fashion using commonly used statistical software of R and SAS. This book is appropriate for anyone who is interested in learning and practicing structural equation modeling especially in using R and SAS. It is useful for applied statisticians data scientists and practitioners applied statistical analysts and scientists in public health and academic researchers and graduate students in statistics whilst also being of use to R&D professionals/practitioners in industry and governmental agencies. Key Features: Extensive compilation of commonly used structural equation models and methods from fundamental to advanced levels Straightforward explanations of the theory related to the structural equation models Compilation of a variety of publicly available data Step-by-step illustrations of data analysis using commonly used statistical software R and SAS Data and computer programs are available for readers to replicate and implement the new methods to better understand the book contents and for future applications Handbook for applied statisticians and practitioners | Structural Equation Modeling Using R/SAS A Step-by-Step Approach with Real Data Analysis

GBP 89.99
1

Intelligence Race And Genetics Conversations With Arthur R. Jensen

Probability and Statistics for Engineering and the Sciences with Modeling using R

Probability and Statistics for Engineering and the Sciences with Modeling using R

Probability and statistics courses are more popular than ever. Regardless of your major or your profession you will most likely use concepts from probability and statistics often in your career. The primary goal behind this book is offering the flexibility for instructors to build most undergraduate courses upon it. This book is designed for either a one-semester course in either introductory probability and statistics (not calculus-based) and/or a one-semester course in a calculus-based probability and statistics course. The book focuses on engineering examples and applications while also including social sciences and more examples. Depending on the chapter flows a course can be tailored for students at all levels and background. Over many years of teaching this course the authors created problems based on real data student projects and labs. Students have suggested these enhance their experience and learning. The authors hope to share projects and labs with other instructors and students to make the course more interesting for both. R is an excellent platform to use. This book uses R with real data sets. The labs can be used for group work in class or for self-directed study. These project labs have been class-tested for many years with good results and encourage students to apply the key concepts and use of technology to analyze and present results. | Probability and Statistics for Engineering and the Sciences with Modeling using R

GBP 89.99
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Statistical Methods for Mediation Confounding and Moderation Analysis Using R and SAS

The Essentials of Data Science: Knowledge Discovery Using R

On Loving Hating and Living Well The Public Psychoanalytic Lectures of Ralph R. Greenson

Peasants Capitalism and the Work of Eric R. Wolf Reviving Critical Agrarian Studies

Peasants Capitalism and the Work of Eric R. Wolf Reviving Critical Agrarian Studies

Fifty years after the publication of Eric Wolf’s celebrated Peasant Wars of the Twentieth Century and forty years after the publication of his path-breaking Europe and the People Without History this book offers a much-needed critical assessment and update of Wolf’s contribution to the study of the peasantry and its relationship to capitalism the state and imperialism. This book provides a comprehensive evaluation of Wolf’s premises methodology and understanding of the peasantry and its relationship to the rise of capitalism and the modern state. The authors analyse Wolf’s theoretical approach and by building on his work in Europe and the People Without History especially argue their own position concerning the dynamics of the peasantry in relation to capitalism state class and imperialism. Further the text aims to answer the agrarian question more widely focusing on agrarian society and the political role of the peasantry in contested transitions to capitalism and to modes beyond capitalism. This requires the authors argue an analysis of class struggle and of the resources material and discursive that different classes can bring to bear on this struggle. Based on well-founded theoretical premises the book focuses on the contested rise of capitalism in the global North the development of core–periphery relations in the global political economy and the place of the peasantry in these dynamics. The book presents case studies of transitions to agrarian capitalism in the British Isles France Germany Japan and the USA. The book will be of great interest to students and researchers in the areas of peasant studies rural politics agrarian studies development and political ecology. | Peasants Capitalism and the Work of Eric R. Wolf Reviving Critical Agrarian Studies

GBP 130.00
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The Arctic Journal of Captain Henry Wemyss Feilden R. A. The Naturalist in H. M. S. Alert 1875-1876

The Arctic Journal of Captain Henry Wemyss Feilden R. A. The Naturalist in H. M. S. Alert 1875-1876

The British Arctic Expedition of 1875–6 was the first major British naval expedition to the high Arctic where science was almost as important as geographical exploration. There were hopes that the expedition might find the hypothetical open polar sea and with it the longed-for Northwest Passage and it did reach the highest northern latitude to date. The Royal Society compiled instructions for the expedition and selected two full-time naturalists (an unusual naval concession to science) of whom one Henry Wemyss Feilden proved a worthy choice. Feilden was a soldier who fought in most of the wars in his lifetime including the American Civil War on the Confederate side. On board HMS Alert he kept a daily journal a record important for its scientific content but also as a view of the expedition as seen by a soldier revealing admiration and appreciation for his naval colleagues; he performed whatever tasks were given to him including the rescue of returning sledge parties stricken by scurvy. He also did a remarkably comprehensive job in mapping the geology of Smith Sound; some of his work on the Cape Rawson Beds was the most reliable until the 1950s. He was an all-round naturalist and a particularly fine geologist and ornithologist. He was not just a collector; he pondered the significance of his findings within the context of the best modern science of his day: in zoology Charles Darwin on evolution; in botany Hooker on phytogeography and in geology Charles Lyell’s system. He illustrated his journal with his own sketches and also enclosed the printed programmes of popular entertainments held on the ship and verses for birthdays and sledging (there was a printing press onboard). The journal gives a vigorous impression of a ship’s company well occupied through the winter then increasingly active in sledging and geographical discovery in spring before the scurvy-induced decision to head home in the summer of 1876. After his return Feilden had dealings with many scientists and their institutions finding homes for and meaning in his collections. | The Arctic Journal of Captain Henry Wemyss Feilden R. A. The Naturalist in H. M. S. Alert 1875-1876

GBP 130.00
1

Conceptualising Religion and Worldviews for the School Opportunities Challenges and Complexities of a Transition from Religious Education

Handbook of Structural Equation Modeling Second Edition

Innovative Behavior of Minorities Women and Immigrants

Nonparametric Statistical Inference

Nonparametric Statistical Inference

Praise for previous editions: … a classic with a long history. – Statistical Papers The fact that the first edition of this book was published in 1971 … [is] testimony to the book’s success over a long period. – ISI Short Book Reviews … one of the best books available for a theory course on nonparametric statistics. … very well written and organized … recommended for teachers and graduate students. – Biometrics … There is no competitor for this book and its comprehensive development and application of nonparametric methods. Users of one of the earlier editions should certainly consider upgrading to this new edition. – Technometrics … Useful to students and research workers … a good textbook for a beginning graduate-level course in nonparametric statistics. – Journal of the American Statistical Association Since its first publication in 1971 Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametrics. The Sixth Edition carries on this tradition and incorporates computer solutions based on R. Features Covers the most commonly used nonparametric procedures States the assumptions develops the theory behind the procedures and illustrates the techniques using realistic examples from the social behavioral and life sciences Presents tests of hypotheses confidence-interval estimation sample size determination power and comparisons of competing procedures Includes an Appendix of user-friendly tables needed for solutions to all data-oriented examples Gives examples of computer applications based on R MINITAB STATXACT and SAS Lists over 100 new references Nonparametric Statistical Inference Sixth Edition has been thoroughly revised and rewritten to make it more readable and reader-friendly. All of the R solutions are new and make this book much more useful for applications in modern times. It has been updated throughout and contains 100 new citations including some of the most recent to make it more current and useful for researchers.

GBP 99.99
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