This course will assist you with recreating work that a previous coworker completed, revisiting a project you abandoned some time ago, or simply reproducing a document with a consistent format and workflow. Incomplete information about how the work was done, where the files are, and which is the most recent version can give rise to many complications. This course focuses on the proper documentation creation process, allowing you and your colleagues to easily reproduce the components of your workflow. Throughout this course, you'll receive helpful demonstrations of RStudio and the R Markdown language and engage in active learning opportunities to help you build a professional online portfolio.
Reproducible Templates for Analysis and Dissemination
ofrecido por
Universidad Emory
Programa - Qué aprenderás en este curso
Semana
1Introduction to Reproducible Research and Dynamic Documentation
This module provides an introduction to the concepts surrounding reproducibility and the Open Science movement, RStudio and GitHub, and foundational cases and authors in the field.
11 videos (Total 75 minutos), 6 readings, 2 quizzes
11 videos
Welcome to Week 1!3m
History and Importance of Reproducibility5m
Dynamic Documentation and Literate Programming5m
Components and Examples of Reproducibility8m
R and RStudio Introduction8m
Git and Github - Part 112m
Git and Github - Part 213m
Git and Github - Part 36m
Creating Your First Document9m
Wrap-Up41s
6 lecturas
Course Outline and Grading Information5m
Articles, Resources, and File Organization Exampless
[Lecture Prep] - Links for R and RStudio1m
R and RStudio Resources30m
[Lecture Prep] - GIT and GitHub5m
Books on Reproducibility and Tools of the Trade45m
2 ejercicios de práctica
Practice20m
Week 130m
Semana
2R Markdown: Syntax, Document, and Presentation Formats
This module explores the R Markdown syntax to format and customize the layout of presentations or reports and will also look at inserting and creating objects such as tables, images, or video within documents.
8 videos (Total 83 minutos), 11 readings, 2 quizzes
8 videos
Introduction to R Markdown and the YAML Header10m
R Markdown Syntax13m
Figures, Tables, and Equations14m
Images, Videos, and Footnotes9m
Presentation Formats16m
Book Format16m
Wrap-Up1m
11 lecturas
[Lecture Prep] - Links for R Markdown and YAML1m
[Lecture Prep] - R Markdown File1m
R Markdown Resources30m
Resources for Tables and Equations25m
[Lecture Prep] - Media and R Markdown Files1m
Resource for Embedding Videos5m
[Lecture Prep] - R Markdown File1m
Resources for the Presentation Format25m
[Lecture Prep] - Link for Bookdown Demo3m
Resources for the Book Format25m
[Graded Quiz Prep] - Week 2 Instructions5m
2 ejercicios de práctica
Practice20m
Week 240m
Semana
3R Markdown Templates: Processing and Customizing
This module goes further with R Markdown to help turn documents, reports, and presentations into templates for easier automation, reproducibility, and customization.
9 videos (Total 93 minutos), 6 readings, 2 quizzes
9 videos
Customizing an HTML Document20m
Customizing a WORD Document8m
Customizing Other Document Formats10m
Working with R Packages12m
Building a Document Template, Part 112m
Building a Document Template, Part 210m
Adding Parameters in a Document Template15m
Wrap-Up58s
6 lecturas
[Lecture Prep] - CSS File1m
Note on MD files3m
Resources for Customizing Documents40m
[Lecture Prep] - R Script File1m
[Lecture Prep] - Code File1m
Resources for Parameters and Template Developments
2 ejercicios de práctica
Practice20m
Week 330m
Semana
4Leveraging Custom Templates from Leading Scientific Journals
This module delves into custom templates available for websites, books, and scientific publishers, such as Elsevier and the IEEE, with the chance to create your first R Package.
6 videos (Total 47 minutos), 3 readings, 2 quizzes
6 videos
Examples and Demo of Existing Templates10m
Exploring R Packages and Their Components and Files12m
Create an R Markdown Template and Share It10m
Create an R Package with an R Markdown Template11m
Wrap-Up44s
3 lecturas
Custom Template Packages and Referencess
Resources for Packages and Forking Repositories30m
[Lecture Prep] - Code File1m
2 ejercicios de práctica
Practice20m
Week 430m
4.6
3 revisionesPrincipales revisiones
por VF•Feb 22nd 2018
Perfect amount of info for beginner and/or intermediate R user who has not taken full advantage of its capabilities (yet)
Instructor
Melinda Higgins
Associate Research Professor/Senior BiostatisticianSchool of Nursing
Acerca de Universidad Emory
Emory University, located in Atlanta, Georgia, is one of the world's leading research universities. Its mission is to create, preserve, teach and apply knowledge in the service of humanity.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si compro el Certificado?
Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Una vez que completes el curso, se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes participar del curso como oyente sin costo.
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