Guide

R Markdown: The Definitive Guide

by Yihui Xie, J. J. Allaire, Garrett Grolemund

2018-12-05
R Markdown: The Definitive Guide

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. Read more →

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blogdown: Creating Websites with R Markdown

by Yihui Xie, Amber Thomas, Alison Presmanes Hill

2018-12-05
blogdown: Creating Websites with R Markdown

A guide to creating websites with R Markdown and the R package blogdown. […] In the summer of 2012, I did my internship at AT&T Labs Research,1 where I attended a talk given by Carlos Scheidegger (https://cscheid.net), and Carlos said something along the lines of “if you don’t have a website nowadays, you don’t exist.” Later I paraphrased it as: “I web, therefore I am a spiderman.” Carlos’s words resonated very well with me, although they were a little exaggerated. A well-designed and maintained website can be extremely helpful for other people to know you, and you do not need to wait for … Read more →

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bookdown: Authoring Books and Technical Documents with R Markdown

by Yihui Xie

2018-12-05
bookdown: Authoring Books and Technical Documents with R Markdown

A guide to authoring books with R Markdown, including how to generate figures and tables, and insert cross-references, citations, HTML widgets, and Shiny apps in R Markdown. The book can be exported to HTML, PDF, and e-books (e.g. EPUB). The book style is customizable. You can easily write and preview the book in RStudio IDE or other editors, and host the book wherever you want (e.g. bookdown.org). Read more →

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Doing Meta Analysis in R

by Mathias Harrer, B.Sc. & Dr. habil. David Ebert

2018-12-04

This is a guide on how to conduct Meta-Analysis in R. […] This guide shows you how to conduct Meta-Analyses in R from scratch. The focus of this guide is primarily on clinical outcome research in psychology. It is designed for staff and collaborators of the PROTECT Lab, which is headed by Dr. David D. Ebert. The guide will show you how to: What this guide will not cover Although this guide will provide some information on the statistics behind meta-analysis, it will not give you an in-depth introduction into how meta-analyses are calculated statistically. It is also beyond the scope of this … Read more →

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Se former au logiciel R : initiation et perfectionnement

by François Rebaudo

2018-12-03
Se former au logiciel R : initiation et perfectionnement

Un guide pour acquérir les bases de la programmation avec R et conduire efficacement la gestion et l’analyse de ses données. […] Ce livre est incomplet pour le moment et vous visualisez sa version préliminaire. De nombreux chapitres sont néanmoins déjà en ligne, alors n’hésitez pas à les consulter et à commencer votre formation ou votre perfectionnement au langage de programmation R. Si vous avez des commentaires, des suggestions ou si vous identifiez des erreurs, n’hésitez pas à m’envoyer un email (francois.rebaudo@ird.fr), ou si vous connaissez GitHub sur le site du projet … Read more →

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POSEIDON tutorial

by Ernesto Carrella

2018-11-19

This is a basic tutorial on how to use POSEIDON and set it up to explore basic fishery problems. I try to cover everything that does not require changing any of the Java code […] This is a simple tutorial on using POSEIDON, a fishery agent-based model. You can read more about this project by reading its main paper or looking at the code repository. This guide will not explain or require any analysis of the java code. I try here to simply show what can be done by just using the graphical user interface and basic text … Read more →

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The twinetverse

by John Coene

2018-11-18
The twinetverse

A guide to visualise networks of Twitter interactions in R using the twinetverse. […] The goal of the twinetverse is to provide everything one might need to view Twitter interactions, from data collection to visualisation. The twinetverse package is available on Github and Bitbucket. The package is unlikely to make it onto CRAN, it may be considered once all of its children packages are on the archive network, but not until then. The source code for this book can be found on … Read more →

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Introduction to Econometrics with R

by Christoph Hanck, Martin Arnold, Alexander Gerber and Martin Schmelzer

2018-10-10
Introduction to Econometrics with R

Beginners with little background in statistics and econometrics often have a hard time understanding the benefits of having programming skills for learning and applying Econometrics. ‘Introduction to Econometrics with R’ is an interactive companion to the well-received textbook ‘Introduction to Econometrics’ by James H. Stock and Mark W. Watson (2015). It gives a gentle introduction to the essentials of R programming and guides students in implementing the empirical applications presented throughout the textbook using the newly aquired skills. This is supported by interactive programming exercises generated with DataCamp Light and integration of interactive visualizations of central concepts which are based on the flexible JavaScript library D3.js. Read more →

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Text Mining with R

by Julia Silge and David Robinson

2018-09-23
Text Mining with R

A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools […] This is the website for Text Mining with R! Visit the GitHub repository for this site, find the book at O’Reilly, or buy it on Amazon. This work by Julia Silge and David Robinson is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States … Read more →

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Lösningar i R till vissa uppgifter från övningskompendierna

by Erik Stenberg

2018-09-17

Lösningar för vissa uppgifter i kursen Statstik A4/A8 […] Detta dokument är till för dig som läser kursen Statistik A4/A8 och är nyfiken på R. Innehållet är tänkt att förena lite nytta (lösa uppgifter) med nöje (lära dig lite R). Det är inte meningen att detta dokument skall fungera som en heltäckande introduktion till programmeringsspråket R. Det finns mängder av väldigt välskrivna guider online som fokuserar mycket mer på hur språket är uppbygt. Lyckligtvis är R väldigt enkelt att komma igång med, och det krävs inte mycket förståelse för själva språket för att göra enkla beräkningar, … Read more →

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Data Visualization with R

by Rob Kabacoff

2018-09-03
Data Visualization with R

A guide to creating modern data visualizations with R. Starting with data preparation, topics include how to create effective univariate, bivariate, and multivariate graphs. In addition specialized graphs including geographic maps, the display of change over time, flow diagrams, interactive graphs, and graphs that help with the interpret statistical models are included. Focus is on the 45 most popular graph types. The guide also includes detailed instructions on how to customizing graphs, and ends with a chapter on graphing best practices. Although strongly based on the ggplot2 package, other approaches are included as well. Read more →

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Data Science at the Command Line

by Jeroen Janssens

2018-08-20
Data Science at the Command Line

This is the website for Data Science at the Command Line, published by O’Reilly October 2014 First Edition. This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started—whether you’re on Windows, macOS, or Linux—author Jeroen Janssens has developed a Docker image packed with over 80 command-line tools. Discover why the command line is an agile, scalable, and extensible … Read more →

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Field Guide to the R Ecosystem

by Mark Sellors

2018-08-19

This guide aims to introduce the reader to the main elements of the R ecosystem. […] This work is licensed under a Creative Commons Attribution 4.0 International … Read more →

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An Incomplete Solutions Guide to the NIST/SEMATECH e-Handbook of Statistical Methods

by Ray Hoobler

2018-07-22

Analysis of case studies and exercies with a focus on using the tidyverse and ggplot2. This handbook was created using the bookdown package in RStudio. The output format for this example is bookdown::gitbook. […] Exploratory Data Analysis (EDA) is a philosophy on how to work with data, and for many applications, the workflow is better suited for most working scientist and engineers. As a scientist, we are trained to formulate a hypothesis and design a series of experiments that will allow us to test the hypothesis effectively. Unfortunately, most data doesn’t from carefully controlled … Read more →

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A short course on Survival Analysis applied to the Financial Industry

by Marta Sestelo

2018-07-17

This is a short course on survival analysis applied to the financial field. […] This book is designed to provide a guide for a short course on survival analysis. It is mainly focussed on applying the stastical tecnquines developed in the survival field to the financial industry. The emphasis is placed in understanding the methods, building intuition about when aplying each of them and showing their application through the use of statistical … Read more →

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Lösningar i R till vissa uppgifter från övningskompendierna (samt lite annat kul)

by Erik Stenberg

2018-04-19

Lösningar för vissa uppgifter i kursen Statstik A4/A8 […] Detta dokument är till för dig som läser kursen Statistik A4/A8 och är nyfiken på R. Innehållet är tänkt att förena lite nytta (lösa uppgifter) med nöje (lära dig lite R). Det är inte meningen att detta dokument skall fungera som en heltäckande introduktion till programmeringsspråket R. Det finns mängder av väldigt välskrivna guider online som fokuserar mycket mer på hur språket är uppbygt. Lyckligtvis är R väldigt enkelt att komma igång med, och det krävs inte mycket förståelse för själva språket för att göra enkla beräkningar, … Read more →

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The Queens College Guide to Life

by The Queens College Collective Consciousness

2018-03-02

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This is a collaboratively written guide for courses at Queens College that focus on the biology of tiny things, which … Read more →

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The Queens College Stats Guide

by The Queens College Collective Consciousness

2018-03-01

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This is a guide to learning statistics at Queens College. Currently we support the following courses directly with … Read more →

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The Queens College Guide to Ecosystems

by The Queens College Collective Consciousness

2018-02-26

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This is a collaboratively written guide for courses at queens college that focus on the biology of big things, like communities and cats, which … Read more →

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The Queens College Alchemy Guide

by The Queens College Collective Consciousness

2018-02-26

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This is a collaboratively written guide for chemistry courses at Queens College, … Read more →

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The Queens College Guide to the Foundations of Life

by The Queens College Collective Consciousness

2018-01-31

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] This is a sample book written in Markdown which uses Yihui Xie’s Bookdown Package for R. Every section (except for these first 2 sentences and section 3, the biochemistry guide) is from their sample book. You can use anything that Pandoc’s Markdown supports, e.g., a math equation (a^2 + b^2 = c^2). The bookdown package can be installed from CRAN or Github: Remember each Rmd file contains one and only one chapter, and a chapter is defined by the first-level … Read more →

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YaRrr! The Pirate’s Guide to R

by Nathaniel D. Phillips

2018-01-22
YaRrr! The Pirate’s Guide to R

An introductory book to R written by, and for, R pirates […] The purpose of this book is to help you learn R from the … Read more →

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Guide til klinikophold

by Søren O’Neill

2017-11-01

Denne side tjener som vejledning og inspiration til supervisorer og studerende på den præ-graduate, kliniske uddannelse på klinisk biomekanik. […] På disse sider finder du vejledning til de præ-graduate kliniskeophold for kiropraktor-studerende (stud. kand.manu) De præ-graduate klinikophold er opdelt som illustreret herover; med et præ-klinisk kursus på SDU efterfulgt af en ‘clinic-entrance’ eksamen, et længere ophold på rygcenter og 2 mindre ophold i andre regi. Teksten er opdelt i to hovedsektioner – én som primært er skrevet med supervisorerne for øje og én for studerende. Begge … Read more →

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(Very) basic steps to weight a survey sample

by Josep Espasa Reig

2017-07-03

(Very) basic steps to weight a survey sample […] This is an introductory guide to survey weighting. It provides a step-by-step walkthrough of the main procedures and explains the statistical principles behind them. The guide includes R code to implement all stages of survey weighting and reproduces the weighting procedures of the 7th European Social Survey in the UK. This text avoids technical notation and language and is targeted to social scientists with a basic level of statistics and probability theory. Readers without knowledge of R should be able to benefit from this text as it … Read more →

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Gopnik Guide to Biology

by Paulius Alaburda

2017-06-26

Bandymas sukurti lengvą biologijos elektroninę knygą. […] Internetas Lietuvos švietimo įrankiams kol kas turėjo mažai įtakos. Vietoje popierinės knygutės atsirado elektroninės knygutės, pasiruošti valstybiniams egzaminams atsirado programėlės. Bet šie įrankiai susiję su kontrolės struktūromis sekti moksleivio progresą ir įvertinti, ar jis teisingai pasiruošė egzaminui. Tikra edukacija prasideda ne nuo pažymių ar atsiskaitymo po 12 metų, o pirminio klausimo - kodėl? Pirminė nuostaba, jog aplinka neatitinka mūsų vidinio realybės modelio pastumia imtis veiksmų išsiaiškinti, kur mes klydome ir … Read more →

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GerminaQuant

by Flavio Lozano Isla, Omar Benites Alfaro, Marcelo Francisco Pompelli

2016-10-11
GerminaQuant

A guide for analisis of germination variables and usage of GerminaQuant. […] GerminaQuant allows make the calculation of the germination variables incredibly easy in an interactive applications build in R (R Core Team 2016), based in GerminaR and Shiny (Chang et al. 2016) package. GerminaQuant app is reactive!. Outputs change instantly as users modify inputs, without requiring a reload the app. The principal features of the application allow calculate the princiapal germination Variables, statistical analysis and easy way to plot the results. … Read more →

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Principles of Econometrics with R

by Constantin Colonescu

2016-09-01

This is a beginner’s guide to applied econometrics using the free statistics software R. […] … Read more →

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Fundamentals of Data Visualization

by Claus O. Wilke

2018-12-05*
Fundamentals of Data Visualization

A guide to making visualizations that accurately reflect the data, tell a story, and look professional. […] This is an online preview of the book “Fundamentals of Data Visualization” to be published with O’Reilly Media, Inc. Completed chapters will be posted here as they become available. The book is meant as a guide to making visualizations that accurately reflect the data, tell a story, and look professional. It has grown out of my experience of working with students and postdocs in my laboratory on thousands of data visualizations. Over the years, I have noticed that the same issues … Read more →

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VCRIS User Guide

by VCRIS logo Virginia Department of Historic Resources

2018-12-05*

This is documentation for the Virginia Department of Historic Resources’ Virginia Cultural Resources Information Sytesm (VCRIS) application. […] VCRIS (Virginia Cultural Resource Information System) provides access to electronic records for historic properties in DHR’s Archives, as well as an online submission system for recording new buildings, structures, landscapes, and archaeological sites. VCRIS includes an interactive web map and detailed information about each site, along with evaluative information about the historic significance of resources. DHR launched VCRIS in 2013 and … Read more →

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