Introduction Welcome to the world of R programming! As a beginner, one of the first tasks you’ll encounter is working with data frames and understanding how to manipulate them. This guide will walk you through the process of retrieving and sort...

In this lesson on sentiment analysis in R, you will learn how to perform sentiment analysis using the sentimentr package. To demonstrate the use of the package, you will compare the sentiment in the speeches of Adolf Hitler and Franklin Roosevelt abo...

R editor and SQL console (in addition to Python editors) in www.techtonique.net

Hey guys, welcome back to my R-tips newsletter. Supply chain management is essential in making sure that your company’s business runs smoothly. One of the key elements is managing inventory efficiently. Today, I’m going to show you how to estimate inve...

Methods for comparing spatial patterns in raster data This is the second part of a blog post series on comparing spatial patterns in raster data. More information about the whole series can be found in part one. This blog post shows v...

To add a row to a dataframe in R, you can use rbind() for base R or add_row() from the dplyr package for a more flexible approach. add_row() allows you to specify the exact position where you want the row added.RStudiodatalab Key Points There are thr...

A couple of days ago, in our lab session, we discussed random forrests, and, since it was based on the example in ISLR, we had a quick discussion about the random choice of features, and the “” rule Interestingly, on that one, we can play a bit, and try all choices, ...

Try out The Climate Impact Sorting Challenge! A quick game I just made that teaches you about the climate impact of different kinds of food. This game can be played in two different ways. You can play it by yourself and try to beat your own hi...

I’ll be teaching how to solve time series problems at ODSC West Wednesday October 30th, 2024. This is a neglected topic that can unlock a lot of value in your organization. Find at https://odsc.com/california/odsc-west-schedule-2024/ , Tutorials | Workshops, 30 Oct Day 2. 3:30 PM Pacific time, 1 hour long. Hope […]

Introduction For beginners venturing into the world of Linux, understanding shell expansion is a crucial step towards mastering the command line. Shell expansion is a powerful feature that allows users to generate complex commands and manipulat...

In this post I describe a useful programming pattern that I implemented, and hopefully provide a gentle introduction to the idea of monads. The motivation for all of this was that I had a {dplyr} pipeline as part of a {shiny} app that queries a database and I wanted to “...

Hot on the heels of Shiny in Production 2022 & 2023, we were excited to dive back into all things Shiny for a third consecutive year. In this post we recap the highlights from the two days of talks and workshops. Workshops As with previous it...

Nearly ten years ago, Chrisophe Dutang and I launched a curated collection of datasets featured in Computational Actuarial Science with R, bundled in the CASdatasets R package. Now, this package offers an extensive range of actuarial datasets, serving as a vital resource for students, educators, and researchers alike. We’re ...

Have you ever looked at a headline or a graph and thought, “Well, the numbers don’t lie, right?” It’s tempting to trust the stats we see around us — whether it’s a political poll, a study about coffee’s health benefits, or a chart showing the rise of ...

Looping through column names in R is a fundamental skill for data manipulation and analysis, especially for beginners in R programming. This guide will walk you through various methods to loop through column names in R, providing examples and ex...

One element of the NSF POSE grant for data.table is to create benchmarks which can inform users about when data.table could be more performant than similar software. Two examples of similar software are duckdb and polars, which each provide in-m...