This blog post introduces the RATest package we released a while back on CRAN with my colleague and good friend Mauricio Olivares-Gonzalez. The package contains a collection of randomization tests, data sets and examples. The current version focuses on two testing problems and their implementation in empirical work, mostly related ...

“Anyone can look for fashion in a boutique or history in a museum. The creative explorer looks for history in a hardware store and fashion in an airport” — Robert Wieder As much as I like Medium for it’s ability to reach an audience I prefer the customization afforded by ...

Package introduction: Package myprettyreport helps to export ggplot2 graphs into a good-looking PDF file in a clear and easy way with a wide range of flexibility. It has a modular structure so the report elements can be combined in many ways.

Package introduction: Package myprettyreport helps to export ggplot2 graphs into a good-looking PDF file in a clear and easy way with a wide range of flexibility. It has a modular […]

CategoriesVisualizing Data Tags Data Visualisation ggplot2 lares R Programming I have been improving my curriculum vitae (CV) these last days and what a nice idea came up: we can use R to generate a neat organized plot showing our different roles and jobs throughout the years. Not only it will ...

I’ve always been curious to make Voronoi diagram, I just think they are beautiful! When I came across data set with train stations in Japan. I instantly thought this would be great data sets to make Voronoi diagram! I’ve gotten data sets from (Ekidata)[http://www.ekidata.jp/] ...

Interpreting generalized linear models (GLM) obtained through glm is similar to interpreting conventional linear models. Here, we will discuss the differences that need to be considered. Basics of GLMs GLMs enable the use of linear models in cases where the response variable has an error distribution that is non-normal. Each ...

T-Mobile, the global telecommunication company, is using R in production to automatically classify text messages to customer service and route them to an agent that can help. The AI@T-mobile team used the keras library in R to build a natural language processing engine with Tensorflow, and deployed it to ...

If you’re an R/RStudio user who has migrated to Mojave (macOS 10.14) or are contemplating migrating to it, you will likely eventually run into an issue where you’re trying to access resources that are in Apple’s new hardened filesystem sandboxes. Rather than reinvent the wheel by blathering ...

Motivation There are dozens of machine learning algorithms out there. It is impossible to learn all their mechanics, however, many algorithms sprout from the most established algorithms, e.g. ordinary least squares, gradient boosting, support vector machines, tree-based algorithms and neural networks. At STATWORX we discuss algorithms daily to evaluate ...

Introduction I have seen a lot of tweets on my feed about power and effect size. I wanted to think about those things carefully, so I did some reading and am writing down some thoughts. An interesting paper that I read on this is here The takeaway is that studies ...