If you dive deep into inferential statistics, you’re likely to see an acronym ANOVA. It comes in many different flavors, such as one-way, two-way, multivariate, factorial, and so on. We’ll cover the simplest, one-way ANOVA today. We’ll do so from scratch, and then you’ll see how ...

Two hundred eleven new packages made it to CRAN in November. Here are my “Top 40” picks in thirteen categories: Computational Methods, Data, Ecology, Finance, Genomics, Humanities, Machine Learning, Medicine, Networks, Statistics, Time Series, Utilities, and Visualization. It was gratifying to see multiple packages developed for applications in the Computational Humanities. ...

Recently, a colleague submitted a paper describing the results of a Bayesian adaptive trial where the research team estimated the probability of effectiveness at various points during the trial. This trial was designed to stop as soon as the probab...

Introduction In my previous blogs, I introduced how to preform depth-first and breadth-first searches in R with R6 objects. After knowing how to do this I explored solving tree-includes problems with both of these searches. In this blog I am going to share how to solve binary “tree sum” problems ...

After three workshops series done in Q4 2021 our teaching has reached its conclusion for this year. Starting at the end of October Mirai’s workshops have provided data scientists with the chance to learn different tools that can be of great use for ...

I’m super excited to introduce portfoliodown, a new R package that makes it painless for data scientists to create a polished professional website so they can host their project portfolios, get great job interviews, and launch their data science career...

I am happy and excited as I have just deployed my first shiny app on the web. You can find it running at shiny.rwhitedwarf.com (NOTE: I don’t have ssl certificate so, your browser might tell you that is not secure, but you can trust me that there...

Adjusting hundreds of Statistical/Machine Learning models to univariate time series with ahead, ranger, xgboost, and caret

Reading Time: 13 minutes It's time for another basketball analytics tutorial! This is for beginners and intermediate sports analytics enthusiasts. I will show you how to extract and prepare NBA data from basketball-reference.com and create a graph with a player's career stats.

Series of Apache Spark posts: Dec 01: What is Apache Spark Dec 02: Installing Apache Spark Dec 03: Getting around CLI and WEB UI in Apache Spark Dec 04: Spark Architecture – Local and cluster mode Dec 05: Setting up Spark Cluster Dec 06: Setting up IDE Dec…Read more ›

Couple of months ago I published a paper in Significance – couple of pages describing the essence of deep learning algorithms, and why they are so popular. I got a few requests for the code which generated the figures in that paper. This weekend I reviewed my code and was content ...

You can read the original post in its original format on Rtask website by ThinkR here: ‘fusen’ v0.3: Better project templates, grouped functions and numerous other enhancements {fusen} gets some maturity! v0.3 is a big rebranding for a more fluid experience, from beginners to advanced developers. Creating a fully documented ...