Download or read book Presenting Scientific Data in R written by ROSALIND K.. RUXTON HUMPHREYS (GRAEME D.) and published by Oxford University Press. This book was released on 2022-07-15 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written primarily for students embarking on an undergraduate bioscience degree, this primer provides an accessible, straightforward, and approachable guide to data presentation using R.
Download or read book Presenting scientific data written by and published by ICARDA. This book was released on with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Download or read book Presenting Scientific Data in R written by Rosalind K. Humphreys and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written primarily for students embarking on an undergraduate bioscience degree, this primer provides an accessible, straightforward, and approachable guide to data presentation using R.
Download or read book Principles of Data Management and Presentation written by John P. Hoffmann and published by Univ of California Press. This book was released on 2017-07-03 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why research? -- Developing research questions -- Data -- Principles of data management -- Finding and using secondary data -- Primary and administrative data -- Working with missing data -- Principles of data presentation -- Designing tables for data presentations -- Designing graphics for data presentations
Download or read book Statistical Services of the United States Government written by United States. Office of Management and Budget. Statistical Policy Division and published by . This book was released on 1975 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book R for Political Data Science written by Francisco Urdinez and published by CRC Press. This book was released on 2020-11-17 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis. Key features: Each chapter has the most up-to-date and simple option available for each task, assuming minimal prerequisites and no previous experience in R Makes extensive use of the Tidyverse, the group of packages that has revolutionized the use of R Provides a step-by-step guide that you can replicate using your own data Includes exercises in every chapter for course use or self-study Focuses on practical-based approaches to statistical inference rather than mathematical formulae Supplemented by an R package, including all data As the title suggests, this book is highly applied in nature, and is designed as a toolbox for the reader. It can be used in methods and data science courses, at both the undergraduate and graduate levels. It will be equally useful for a university student pursuing a PhD, political consultants, or a public official, all of whom need to transform their datasets into substantive and easily interpretable conclusions.
Download or read book The Visual Display of Quantitative Information written by Edward R. Tufte and published by . This book was released on 2001-01-01 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graphical practice. Theory of data graphics.
Download or read book Statistical Reporter written by and published by . This book was released on 1968 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1991-10 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mathematical Foundations of Data Science Using R written by Frank Emmert-Streib and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-10-24 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data scientist. The book presents a comprehensive overview of the mathematical foundations of the programming language R and of its applications to data science.
Download or read book Resources in Education written by and published by . This book was released on 1985 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Scientific writing for agricultural research scientists written by Youdeowei, A. and published by CTA. This book was released on 2012-12-31 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new, fully revised edition aims to serve as a guide for agricultural research scientists and other practitioners in writing papers for publication. It also looks to provide a resource manual for training courses in scientific writing. There are three new chapters on reporting statistical results, communicating science to non-scientific audiences and electronic publishing. In addition, the original chapters have all been rewritten to reflect current developments and to make the content more complete and easily comprehensible.
Download or read book Academic Scientific Poster Presentation written by Nicholas Rowe and published by Springer. This book was released on 2017-09-04 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the first comprehensive guide to poster presentation at academic, scientific and professional conferences. Each chapter explores different factors that impact upon how posters function, and how they fit within today’s conference practices, as well as provides guidance on how to address compilation and presentation issues with the poster medium. Drawing from fields of education, psychology, advertising and other areas, the book offers examples of how theories may be applied to practice in terms of both traditional paper and electronic poster formats. Importantly, the book offers a critical examination of how academic and scientific posters are able to achieve their potential for knowledge dissemination, networking and knowledge transfer. The many new and challenging findings provide an evidence-based approach to help both novice and experienced presenters compile effective poster presentations, and to see how poster presentations can best be used to share knowledge, facilitate networking, and promote dialogue. Additionally, educators, employers, and conference organizers may use this book to re-evaluate how conferences meet the needs of today’s globally connected peer groups, and the benefit they provide at individual and group levels.
Download or read book Open Citizen Science Data and Methods written by Anne Bowser and published by Frontiers Media SA. This book was released on 2022-11-25 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Applied Meta Analysis with R written by Ding-Geng (Din) Chen and published by CRC Press. This book was released on 2013-05-03 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, Applied Meta-Analysis with R shows how to implement statistical meta-analysis methods to real data using R. Drawing on their extensive research and teaching experiences, the authors provide detailed, step-by-step explanations of the implementation of meta-analysis methods using R. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R packages and functions. This systematic approach helps readers thoroughly understand the analysis methods and R implementation, enabling them to use R and the methods to analyze their own meta-data. Suitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R) in public health, medical research, governmental agencies, and the pharmaceutical industry.
Download or read book Using R for Biostatistics written by Thomas W. MacFarland and published by Springer Nature. This book was released on 2021-03-02 with total page 929 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the open source R software language that can be implemented in biostatistics for data organization, statistical analysis, and graphical presentation. In the years since the authors’ 2014 work Introduction to Data Analysis and Graphical Presentation in Biostatistics with R, the R user community has grown exponentially and the R language has increased in maturity and functionality. This updated volume expands upon skill-sets useful for students and practitioners in the biological sciences by describing how to work with data in an efficient manner, how to engage in meaningful statistical analyses from multiple perspectives, and how to generate high-quality graphics for professional publication of their research. A common theme for research in the diverse biological sciences is that decision-making depends on the empirical use of data. Beginning with a focus on data from a parametric perspective, the authors address topics such as Student t-Tests for independent samples and matched pairs; oneway and twoway analyses of variance; and correlation and linear regression. The authors also demonstrate the importance of a nonparametric perspective for quality assurance through chapters on the Mann-Whitney U Test, Wilcoxon Matched-Pairs Signed-Ranks test, Kruskal-Wallis H-Test for Oneway Analysis of Variance, and the Friedman Twoway Analysis of Variance. To address the element of data presentation, the book also provides an extensive review of the many graphical functions available with R. There are now perhaps more than 15,000 external packages available to the R community. The authors place special emphasis on graphics using the lattice package and the ggplot2 package, as well as less common, but equally useful, figures such as bean plots, strip charts, and violin plots. A robust package of supplementary material, as well as an introduction of the development of both R and the discipline of biostatistics, makes this ideal for novice learners as well as more experienced practitioners.
