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1000 tulosta hakusanalla R. Austin Freeman
Mosler, R: Cornelius Tacitus Uber Die Weltstellung Von Germa
R. Mosler
KESSINGER PUBLISHING, LLC
2009
nidottu
Gurley, R: On The Classification Of The Myxosporidia
R. R. Gurley
KESSINGER PUBLISHING, LLC
2009
nidottu
R. P. Martini Becani Societatis Jesu Theologi Analogia Veteris Ac Novi Testamenti (1758)
Martinus Becanus
KESSINGER PUBLISHING, LLC
2009
pokkari
R. F. And H. L. Doherty On Lawn Tennis
Nobel Press
2010
nidottu
This book, "R. F. And H. L. Doherty On Lawn Tennis. 1903", by R.F. Doherty, is a replication of a book originally published before 1903. It has been restored by human beings, page by page, so that you may enjoy it in a form as close to the original as possible. This book was created using print-on-demand technology. Thank you for supporting classic literature.
The R Companion to Elementary Applied Statistics includes traditional applications covered in elementary statistics courses as well as some additional methods that address questions that might arise during or after the application of commonly used methods. Beginning with basic tasks and computations with R, readers are then guided through ways to bring data into R, manipulate the data as needed, perform common statistical computations and elementary exploratory data analysis tasks, prepare customized graphics, and take advantage of R for a wide range of methods that find use in many elementary applications of statistics.Features: Requires no familiarity with R or programming to begin using this book. Can be used as a resource for a project-based elementary applied statistics course, or for researchers and professionals who wish to delve more deeply into R. Contains an extensive array of examples that illustrate ideas on various ways to use pre-packaged routines, as well as on developing individualized code. Presents quite a few methods that may be considered non-traditional, or advanced. Includes accompanying carefully documented script files that contain code for all examples presented, and more.R is a powerful and free product that is gaining popularity across the scientific community in both the professional and academic arenas. Statistical methods discussed in this book are used to introduce the fundamentals of using R functions and provide ideas for developing further skills in writing R code. These ideas are illustrated through an extensive collection of examples. About the Author: Christopher Hay-Jahans received his Doctor of Arts in mathematics from Idaho State University in 1999. After spending three years at University of South Dakota, he moved to Juneau, Alaska, in 2002 where he has taught a wide range of undergraduate courses at University of Alaska Southeast.
The R Companion to Elementary Applied Statistics includes traditional applications covered in elementary statistics courses as well as some additional methods that address questions that might arise during or after the application of commonly used methods. Beginning with basic tasks and computations with R, readers are then guided through ways to bring data into R, manipulate the data as needed, perform common statistical computations and elementary exploratory data analysis tasks, prepare customized graphics, and take advantage of R for a wide range of methods that find use in many elementary applications of statistics.Features: Requires no familiarity with R or programming to begin using this book. Can be used as a resource for a project-based elementary applied statistics course, or for researchers and professionals who wish to delve more deeply into R. Contains an extensive array of examples that illustrate ideas on various ways to use pre-packaged routines, as well as on developing individualized code. Presents quite a few methods that may be considered non-traditional, or advanced. Includes accompanying carefully documented script files that contain code for all examples presented, and more.R is a powerful and free product that is gaining popularity across the scientific community in both the professional and academic arenas. Statistical methods discussed in this book are used to introduce the fundamentals of using R functions and provide ideas for developing further skills in writing R code. These ideas are illustrated through an extensive collection of examples. About the Author: Christopher Hay-Jahans received his Doctor of Arts in mathematics from Idaho State University in 1999. After spending three years at University of South Dakota, he moved to Juneau, Alaska, in 2002 where he has taught a wide range of undergraduate courses at University of Alaska Southeast.
R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. In this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown.J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix.Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.
R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. In this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown.J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix.Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.
R&D Investment and Impact in the Global Construction Industry
Routledge
2018
nidottu
R&D Investment and Impact in the Global Construction Industry brings together contributions from leading industry researchers in a diverse group of countries to investigate the role of research and development (R&D) in the construction industry. Investment in R&D is a proven factor in economic growth, and helps develop a more productive and innovative industry. This book explores how policy makers and industry leaders can better target future investment; and how industry and researchers can manage their efforts to improve productivity whilst addressing the environmental and social needs of their communities. Case studies present projects where R&D ideas funded by both the private and public sectors have been translated from research into practice or policy, and examine drivers, successes and barriers to the delivery of R&D in industry. Based on research from members of the CIB Task Group 85 (R&D Investment and Impact) and concluding with key insights for maximising the impact of R&D in the future, the book holds valuable lessons for practitioners, policy makers and researchers across the international construction industry.
R for Statistics
Pierre-Andre Cornillon; Arnaud Guyader; Francois Husson; Nicolas Jegou; Julie Josse; Maela Kloareg; Eric Matzner-Lober; Laurent Rouvière
CRC Press
2017
sidottu
Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics includes a number of expanded and additional worked examples. Organized into two sections, the book focuses first on the R software, then on the implementation of traditional statistical methods with R. Focusing on the R software, the first section covers: Basic elements of the R software and data processing Clear, concise visualization of results, using simple and complex graphs Programming basics: pre-defined and user-created functions The second section of the book presents R methods for a wide range of traditional statistical data processing techniques, including: Regression methods Analyses of variance and covariance Classification methods Exploratory multivariate analysis Clustering methods Hypothesis tests After a short presentation of the method, the book explicitly details the R command lines and gives commented results. Accessible to novices and experts alike, R for Statistics is a clear and enjoyable resource for any scientist. Datasets and all the results described in this book are available on the book‘s webpage at http://www.agrocampus-ouest.fr/math/RforStat
R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use R to generate any of the basic visualizations with the R visualization systems. Further, this book introduces the author’s lessR system, which always can accomplish a visualization with less coding than the use of other systems, sometimes dramatically so, and also provides accompanying statistical analyses.Key Features Presents thorough coverage of the leading R visualization system, ggplot2. Gives specific guidance on using base R graphics to attain visualizations of the same quality as those provided by ggplot2. Shows how to create a wide range of data visualizations: distributions of categorical and continuous variables, many types of scatterplots including with a third variable, time series, and maps. Inclusion of the various approaches to R graphics organized by topic instead of by system. Presents the recent work on interactive visualization in R.David W. Gerbing received his PhD from Michigan State University in 1979 in quantitative analysis, and currently is a professor of quantitative analysis in the School of Business at Portland State University. He has published extensively in the social and behavioral sciences with a focus on quantitative methods. His lessR package has been in development since 2009.
This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data types. The author leads readers to merge mature and effective methdologies in traditional programing to R programing. It shows how to interface R with C, Java, and other popular programing laguages and platforms.
Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered by new users of this statistical software. This new edition adds coverage of R Studio and reproducible research.
R.D. Laing: His Work and its Relevance for Sociology (RLE Social Theory)
Martin Howarth-Williams
Routledge
2014
sidottu
This study, by a sociologist, provides the most rigorous and comprehensive review to appear so far of R. D. Laing's work and theoretical development. Martin Howarth-Williams considers that Laing's insights into such controversial issues as the divided self and the politics of the family are of an importance that transcends their basis in clinical psychiatry and that they have a special significance for sociology. Using the Progressive/Regressive Method of Jean-Paul Sartre, the author illuminates the internal coherence of Laing's aims through the various stages of his work and shows how his ideas are shaped by consistent philosophic presuppositions and influences underlying his work.To give as complete an account as possible of Laing's interests and to relate them to the broad stream of his thought, the author explores Laing's involvement in other non-psychiatric realms – especially politics, religion and eastern mysticism. Material has been secured from a wide variety of recent sources which include interviews, films, TV appearances and the author's own personal recollections of informal talks given by Laing.In the final section of the book Martin Howarth-Williams isolates the concept of 'Intelligibility', which he demonstrates to be the unifying theme central to Laing's theory and shows how this can be used as the basis for a critique of recent developments in sociological theory as well as a starting point towards a genuinely dialectical sociology.
R&D Decisions
Routledge
2015
nidottu
R&D Decisions, Strategy, Policy and Innovations explores how research and development decisions affect all of us. They are linked inextricably to the performance of firms and of economics as a whole. Their importance means that they are of concern to a large number of practitioners, policy-makers and researchers. This book demonstrates the range of issues and perspectives which R&D can encompass and at the same time brings out the elements which unite them. The papers in this book are organized into three main sections: * Strategy and Organization explores the importance of R&D and of the structures and strategies of individual organizations. The emerging 'core competence paradigm' is especially noted. * Policy and Performance looks at what new thinking on R&D more generally implies for government policy and the performance of industries, regions and economies. * Disclosure and the Market examines issues raised by changing regulations on the disclosure of R&D expenditure.
R. S. Peters on Education and Ethics reissues seven titles from Peters' life's work. Taking an interdisciplinary approach, the books are concerned with the philosophy of education and ethics. Topics include moral education and learning, authority and responsibility, psychology and ethical development and ideas on motivation amongst others. The books discuss more traditional theories and philosophical thinkers as well as exploring later ideas in a way which makes the subjects they discuss still relevant today.
R.D. Laing: His Work and its Relevance for Sociology (RLE Social Theory)
Martin Howarth-Williams
Routledge
2016
nidottu
This study, by a sociologist, provides the most rigorous and comprehensive review to appear so far of R. D. Laing's work and theoretical development. Martin Howarth-Williams considers that Laing's insights into such controversial issues as the divided self and the politics of the family are of an importance that transcends their basis in clinical psychiatry and that they have a special significance for sociology. Using the Progressive/Regressive Method of Jean-Paul Sartre, the author illuminates the internal coherence of Laing's aims through the various stages of his work and shows how his ideas are shaped by consistent philosophic presuppositions and influences underlying his work.To give as complete an account as possible of Laing's interests and to relate them to the broad stream of his thought, the author explores Laing's involvement in other non-psychiatric realms – especially politics, religion and eastern mysticism. Material has been secured from a wide variety of recent sources which include interviews, films, TV appearances and the author's own personal recollections of informal talks given by Laing.In the final section of the book Martin Howarth-Williams isolates the concept of 'Intelligibility', which he demonstrates to be the unifying theme central to Laing's theory and shows how this can be used as the basis for a critique of recent developments in sociological theory as well as a starting point towards a genuinely dialectical sociology.