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R Markdown Cookbook
This new book written by the developers of R Markdown is an essential reference that will help users learn and make full use of the software. Those new to R Markdown will appreciate the short, practical examples that address the most common issues users encounter. Frequent users will also benefit from the wide ranging tips and tricks that expose ‘hidden’ features, support customization and demonstrate the many new and varied applications of the software. After reading this book users will learn how to: Enhance your R Markdown content with diagrams, citations, and dynamically generated text Streamline your workflow with child documents, code chunk references, and caching Control the formatting and layout with Pandoc markdown syntax or by writing custom HTML and LaTeX templates Utilize chunk options and hooks to fine-tune how your code is processed Switch between different language engineers to seamlessly incorporate python, D3, and more into your analysis
Working with Data in Public Health: A Practical Pathway with R
This book provides a complete practical guide of processing data in public health with R language. On the basis of the author’s research and teaching experiences, this book serves either as a textbook for undergraduates and graduates in public health or as a tutorial for self-learning. Many first-hand examples are presented with source data, R scripts, and graphs, as well as detailed explanations, which could be easily reproduced by readers so as to better understand the data processing principles and procedures. Popular and novel R packages in public health are introduced as well.
Out of the Study and Into the Field
Outside France, French anthropology is conventionally seen as being dominated by grand theory produced by writers who have done little or no fieldwork themselves, and who may not even count as anthropologists in terms of the institutional structures of French academia. This applies to figures from Durkheim to Derrida, Mauss to Foucault, though there are partial exceptions, such as Lévi-Strauss and Bourdieu. It has led to a contrast being made, especially perhaps in the Anglo-Saxon world, between French theory relying on rational inference, and British empiricism based on induction and generally skeptical of theory. While there are contrasts between the two traditions, this is essentially a false view. It is this aspect of French anthropology that this collection addresses, in the belief that the neglect of many of these figures outside France is seriously distorting our view of the French tradition of anthropology overall. At the same time, the collection will provide a positive view of the French tradition of ethnography, stressing its combination of technical competence and the sympathies of its practitioners for its various ethnographic subjects.
The Indigénat and France’s Empire in New Caledonia
This book provides a long history of France’s infamous indigénat regime, from its origins in Algeria to its contested practices and legacies in France’s South Pacific territory of New Caledonia. The term indigénat is synonymous throughout the francophone world with the rigours and injustices of the colonial era under French rule. The indigénat regime or 'Native Code' governed the lives of peoples classified as French 'native' subjects in colonies as diverse as Algeria, West Africa, Madagascar, Indochina and New Caledonia. In New Caledonia it was introduced by decree in 1887 and remained in force until Kanak — New Caledonia’s indigenous people — obtained citizenship in 1946. Amon...
R for the Rest of Us
Learn how to use R for everything from workload automation and creating online reports, to interpreting data, map making, and more. Written by the founder of a very popular online training platform for the R programming language! The R programming language is a remarkably powerful tool for data analysis and visualization, but its steep learning curve can be intimidating for some. If you just want to automate repetitive tasks or visualize your data, without the need for complex math, R for the Rest of Us is for you. Inside you’ll find a crash course in R, a quick tour of the RStudio programming environment, and a collection of real-word applications that you can put to use right away. You...
Conversation and intonation in autism: A multi-dimensional analysis
This book provides an in-depth, multi-dimensional analysis of conversations between autistic adults. The investigation is focussed on intonation style, turn-taking and the use of backchannels, filled pauses and silent pauses. Previous findings on intonation style in the context of autism spectrum disorder (ASD) are contradictory, with claims ranging from characteristically monotonous to characteristically melodic intonation. A novel methodology for quantifying intonation style is used, and it is revealed that autistic speakers tended towards a more melodic intonation style compared to control speakers in the data set under investigation. Research on turn-taking (the organisation of who speak...
Specters of Violence in a Colonial Context
During 1917–1918, war ravaged the hill country north of New Caledonia’s main island, the Grande terre. Occurring sixty-four years after France’s 1853 annexation of New Caledonia and in the midst of the Great War of 1914–1918, the conflict was known by the mid-twentieth century as “the last of the kanak revolts.” It represented to many—until the “events” of the 1980s—the final pacification of Kanak (the indigenous people of New Caledonia). Specters of Violence in a Colonial Context is the first comprehensive history of the 1917–1918 war, which involved the French army, European settlers, and Kanak. In three parts, it addresses the events leading to the outbreak of war, h...
Machine Learning for Factor Investing
Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out-of-reach. Machine learning for factor investing: Python version bridges this gap. It provides a comprehensive tour of modern ML-based investment strategies that rely on firm characteristics. The book covers a wide array of subjects which range from economic rationales to rigorous portfolio back-testing and encompass bot...
Rasch Measurement Theory Analysis in R
Rasch Measurement Theory Analysis in R provides researchers and practitioners with a step-by-step guide for conducting Rasch measurement theory analyses using R. It includes theoretical introductions to major Rasch measurement principles and techniques, demonstrations of analyses using several R packages that contain Rasch measurement functions, and sample interpretations of results. Features: Accessible to users with relatively little experience with R programming Reproducible data analysis examples that can be modified to accommodate users’ own data Accompanying e-book website with links to additional resources and R code updates as needed Features dichotomous and polytomous (rating scal...
Telling Stories with Data
The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing, and sharing data, then using statistical models to analyse data, writing about the results of those models, drawing conclusions from them, and finally, using the cloud to put a model into production, all done in a reproducible way. At the moment, there are a lot of books that teach data science, but most of them assume that you already have the data. This book fills that gap by detailing how to go about gathering datasets, cleaning and preparing them, before analysing them. There are also a lot of books that teach statistical modelling, but few of them teach how to commun...
