Articles by Flavio Barros

Git pushing Shiny Apps with Docker & Dokku

May 11, 2015 | Flavio Barros

At this post i will show you how to deploy Shiny Apps easily with a simple git push. But, what’s a git push? I’m referring to the git command used with remote repositories. With this command you can deploy apps easily with a PaaS (Platform as a Service) ... [Read more...]

Dockerizing a Shiny App

April 30, 2015 | Flavio Barros

After a long pause of more than four months, I am finally back to post here. Unfortunately, many commitments prevented me keep posting, but coming back, i changed the deployment (now this blog runs entirely within a docker container with some other cool things I intend to post more forward) ... [Read more...]

Data Preparation – Part I

October 31, 2013 | Flavio Barros

The R language provides tools for modeling and visualization, but is still an excellent tool for handling/preparing data. As C++ or python, there is some tricks that bring performance, make the code clean or both, but especially with R these choices can have a huge impact on performance and ... [Read more...]

Compiling R 3.0.1 with MKL support

June 19, 2013 | Flavio Barros

Before you begin, be aware that there is others excellent posts about the issue, as: 1. Compiling 64-bit R 2.10.1 with MKL in Linux 2. Speeding up R with Intel’s Math Kernel Library (MKL) 3. Performance benefits of linking R to multithreaded math libraries 4. Using MKL-Linked R in Eclipse But, as recently i ... [Read more...]

ANOVA and Tukey’s test on R

June 13, 2013 | Flavio Barros

OBS: This is a full translation of a portuguese version. In many different types of experiments, with one or more treatments, one of the most widely used statistical methods is analysis of variance or simply ANOVA . The simplest ANOVA can be called “one way” or “single-classification” and involves the analysis ... [Read more...]

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)