Recently, I was on Gran Canaria for a vacation. So, what better way to keep up the holiday spirit a while longer than to visualize all the places we went in R!? I am combining location data collected by our car GPS, Google location data from my ...

In my last post, where I shared the code that I used to produce an example analysis to go along with my webinar on building meaningful models for disease prediction, I mentioned that it is advised to consider over- or under-sampling when you have unbal...

Webinar for the ISDS R Group This document presents the code I used to produce the example analysis and figures shown in my webinar on building meaningful machine learning models for disease prediction. My webinar slides are available on Github ...

Today, I want to show how I use Thomas Lin Pederson’s awesome ggraph package to plot decision trees from Random Forest models. I am very much a visual person, so I try to plot as much of my results as possible because it helps me get a better feel ...

Last week I showed how to build a deep neural network with h2o and rsparkling. As we could see there, it is not trivial to optimize the hyper-parameters for modeling. Hyper-parameter tuning with grid search allows us to test different combinations of h...

Last week, I introduced how to run machine learning applications on Spark from within R, using the sparklyr package. This week, I am showing how to build feed-forward deep neural networks or multilayer perceptrons. The models in this example are built ...

This week I want to show how to run machine learning applications on a Spark cluster. I am using the sparklyr package, which provides a handy interface to access Apache Spark functionalities via R. The question I want to address with machine learning ...

When running an analysis, I am usually combining functions from multiple packages. Most of these packages come with their own plotting functions. And while they are certainly convenient in that they allow me to get a quick glance at the data or the out...

Today, I want to share my analysis of the World Gender Statistics dataset. Last week I already introduced my Shiny app, where you can explore 160 measurements for 164 countries over 56 years. This week I’ve included a statistical analysis of these c...

This week I explored the World Gender Statistics dataset. You can look at 160 measurements over 56 years with my Shiny app here. I prepared the data as follows: Data.csv Country.Name: the name of the country Country.Code: the country’s co...

I’m an avid R user and rarely use anything else for data analysis and visualisations. But while R is my go-to, in some cases, Python might actually be a better alternative. That’s why I wanted to see how R and Python fare in a one-on-one compariso...

Machine learning uses so called features (i.e. variables or attributes) to generate predictive models. Using a suitable combination of features is essential for obtaining high precision and accuracy. Because too many (unspecific) features pose the prob...

Which genes have homologs in many species? In Part 1 and Part 2 I have already explored gene homology between humans and other species. But there I have only considered how many genes where shared between the species. In this post I want to have a cl...

It’s no secret that Google Big Brothers most of us. But at least they allow us to access quite a lot of the data they have collected on us. Among this is the Google location history. If you want to see a few ways how to quickly and easily ...

With the upcoming holidays, I thought it fitting to finally explore the ttbbeer package. It contains data on beer ingredients used in US breweries from 2006 to 2015 and on the (sin) tax rates for beer, champagne, distilled spirits, wine and various tob...

In my last post I created a gene homology network for human genes. In this post I want to extend the network to include edges for other species. First, I am loading biomaRt and extract a list of all available datasets. library(biomaRt) ensembl = useM...

The html widget I produced with networksD3 seems to create problems with loading the site for some people, so here is the same blog post as yesterday just without the rendered html widget in it. This week I want to explore how many of our human ge...

This post is in reply to a request: How did I set up this R blog? I have wanted to have my own R blog for a while before I actually went ahead and realised this page. I had seen all the cool things people do with R by following ...