dataatwork.org
Tools and Integrations
http://dataatwork.org/tools
Quick Start Tools for Training Provider Data Packages. Use Data Packages with. Catalog of Tools and Integrations. Quick Start Tools for Training Provider Data Packages. Online Data Package viewer app. Provides a nice human-friendly view of a Data Package in seconds. Data Package your data by creating a. The online datapackage.json maker creates the. File needed to turn data into a Data Package. And Training Data Package are good to go. Creating and using Training Data Packages in Python. Provides struct ...
mindymallory.github.io
My Reproducible Workflow: Collaboration is the Tricky Part
http://mindymallory.github.io/blog/2016/my-reproducable-workflow
My Reproducible Workflow: Collaboration is the Tricky Part - Mindy L. Mallory. Mindy L. Mallory. My Reproducible Workflow: Collaboration is the Tricky Part. 21 Jan 2016 • 2 min. read • Comments. I have been slowly migrating to a reproducible (and automatically refreshed) workflow. I spent many hours in grad school updating manuscript text and tables with results from minor tweaks of my estimation procedure. A small change resulted in a full day’s work. I knew there had to be a better way. Tool looks like...
pirategrunt.wordpress.com
Makefiles and RMarkdown | PirateGrunt
https://pirategrunt.wordpress.com/2015/03/28/makefilesandrmarkdown
Data - Information - Insight - Wisdom. Visualizing the History of Epidemics. March 28, 2015. Quite some time ago (October 2013, according to Amazon), I bought a copy of Reproducible Research with R and RStudio. And it was awesome. Since then, I’ve been using. And RMarkdown quite a lot. However, until recently, I never bothered with a makefile. Program for Windows, but I wish someone had told me that a couple years ago. So, enough preamble. What’s the benefit and how does it work? Use RMarkdown files as y...
frictionlessdata.io
Tools and Integrations
http://frictionlessdata.io/tools
Find Data Packages 🔎. This page lists user-friendly tools for creating and working with Data Packages. It also lists integrations for working with Data Packages using popular existing tools. If you are a developer, you can find software libraries to load and manage Data Packages in your language of choice. Quick Start Tools for Data Packages. Use Data Packages with. Catalog of Tools and Integrations. Quick Start Tools for Data Packages. Online Data Package viewer app. Data Package your data by creating a.
christophergandrud.github.io
Reproducible Research Errata
http://christophergandrud.github.io/RepResR-RStudio
With R and RStudio. Who is it for? Overview of the Book. Reproducible Research with R and RStudio. Gives you tools for data gathering, analysis, and presentation of results so that you can create dynamic and highly reproducible research. Tools you will learn as part of a reproducible research workflow:. A programming language primarily for statistics and graphics. We will focus on using it for dynamic data gathering and presenting results. For creating PDF articles and slide shows, as well as Markdown.
politbistro.hypotheses.org
Une fonction pour passer des réseaux à ggplot2 | Polit’bistro : des politiques, du café
http://politbistro.hypotheses.org/1782
Polit’bistro : des politiques, du café. Un blog de doctorants en science politique. Aller au contenu principal. Une fonction pour passer des réseaux à ggplot2. A été publiée dans le package. Qui se charge de tenir le package à jour et qui a fourni une excellente relecture du code). J’ai terminé de travailler sur la fonction. Évoquée dans un récent billet. Ça donne des graphiques comme ça :. De Moritz Marbach :. Peuvent être légendés, ce qui donne des combinaisons faciles avec l’argument. Qui simplifient ...
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