Happy Pi Day! I don’t encounter very much in my area of statistics, so this post might seem a little forced… In this post, I’m going to show one way to estimate . The starting point is the integral identity … Continue reading →

I’m beyond excited to introduce modeltime.h2o, the time series forecasting package that integrates H2O AutoML (Automatic Machine Learning) as a Modeltime Forecasting Backend. This tutorial (view the original article here) introduces our new R Package, ...

We’re excited to announce that all rstudio::global(2021) X-Session recordings are now available for you to watch. Leading up to rstudio::global, we teamed up with one of our Full Service Partners, Appsilon, to offer a sponsored, hands-on experience cov...

Introduction Running pace calculator How to use it? Code Introduction If you are a runner yourself, you are certainly aware of how important preparation is before a race. For the preparation of my first marathon, I used to rely on a training p...

There are two kinds of people in the world: people who think there are two kinds of people in the world and people who don’t (borrowed from Menand (2018)). Because things are always simpler when we face only binary choice, aren’t they? But consider here the case were multiple ...

Partial regression plots – also called added variable plots, among other things – are a type of diagnostic plot for multivariate linear regression models. More specifically, they attempt to show the effect of adding a new variable to an exi...

Abstract We consider the problem of learning a function defined on a compact domain, using linear combinations of a large number of “bump-like” components (neurons). This idea lies at the core of a variety of methods from two-layer neural networks...

Editor’s note: This is a guest post by Nathaniel Schmucker. He is the founder of The Analyst Code, a blog that provides tools to instill a love of data in individuals of all backgrounds and to empower aspiring analysts. Introduction In this post, we will look at: What is ...

I’m launching a book at a weird time. Toward the (one can only hope) end of a pandemic, book sales are booming, but it’s so hard to replicate the experience of even the simplest in-person launch party or tour. Many of us are overwhelmed and uncertain about the ...

Great code review is one of the most underrated skills a Data Scientist can have. In this blog I will share my top 3 code review checklist, specifically for R Code. In our data science team we regularly do code review to make sure it is up to the standard it ...

In the toolbox of most scientists over the past century, there have been few methods as powerful and as versatile as linear regression. The introduction of the generalized linear model (GLM) framework in the 1970’s extended the inferential and pred...

We are currently developing a SAAS Shiny application. We have a prototype that is functional, but not ready for release. Your role will be to refactor the application, and push it towards public r...

This is part four of our four part series Part 1: Specifying the correct figure dimension in {knitr}. Part 2: What image format should you use for graphics. Part 3: Including external graphics in your document Part 4: Setting default {knitr} options (this post). As with many aspects of programming, when you are working ...

Concepts like reproducibility, integrity and collaborative development are a “must” for using R in production. Among other common best practices (modularize your code, structure it as a package, define unit testing and automate with CI / CD pipeline...