R-bloggers

I came across the Human Ageing Genomic Resources. They are doing some fascinating work and expose some engrossing data. I wanted to make the data easier for me to work with, and an R package seemed to be the natural vehicle to do this. For more information on these data, ...

Cullen Roth posted a beautiful animation of quantitative trait locus mapping on Twitter. It is pretty amazing. I wanted to try to make something similar in R with gganimate. It’s not going to be as beautiful as Roth’s animation, but it will use the same main idea of ...

LSTM network in R, In this tutorial, we are going to discuss Recurrent Neural Networks. Recurrent Neural Networks are very useful for solving sequence... The post LSTM Network in R appeared first on finnstats.

A brand new season of IPL 2021 is on its way, and I intend to keep my Shiny app GooglyPlusPlus updated with all the analysis “as-it-happens”. I had written a post earlier Big Data 7: yorkr waltzes with Apache NiFi, where I used my R package yorkr in a NiFi pipeline to ...

Trying to answer this question on stackoverflow about understat.com scraping I was interested to take RSelenium for a spin. Few years ago, Selenium and R weren’t particularly friends (Python+Selenium were more used for instance) but it seems to hav...

We have started a series of articles on tips and tricks for data scientists (mainly in Python and R). In ... Read more10 Tips And Tricks For Data Scientists Vol.5

When many hear “data analytics” these days, they think of graphical user interface (GUI)-driven business intelligence (e.g. Tableau), data warehousing (e.g. Snowflake), or data preparation (e.g. Alteryx) platforms. These tools have their place (some more than others) in the analytics stack. But rather than focus on ...

Neural Network in R, Neural Network is just like a human nervous system, which is made up of interconnected neurons, in other words, a... The post Deep Neural Network in R appeared first on finnstats.

Today we want to train a deep learning model that detects a foreground object on an image (say, a bird), automatically crops the bird and removes the background, and pastes the bird onto a new background. So we want to automate this process: Why would you want to do this? ...

After four hands-on workshops our journey has reached its conclusion. This March, Mirai’s workshops initiative focused on a topic of wide interest in the R Community: development of shiny apps. We undertook the journey from creating a first shiny ap...

Naive Bayes Classification in R, In this tutorial, we are going to discuss the prediction model based on Naive Bayes classification. Naive Bayes is... The post Naive Bayes Classification in R appeared first on finnstats.

This is a guest post by Chris Paciorek, Department of Statistics, University of California at Berkeley. In this post, I’ll demonstrate that you can easily use the future package in R on a cluster of machines running in the cloud, specifically ...

This post is part of a series of technotes about R-universe, a new umbrella project by rOpenSci under which we experiment with various new ideas for improving publication and discovery of research software in R. As the project evolves, we will post up...