A no bullshit guide to LLMs
A talk from useR! 2025
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Bringing BERT — R functions in Excel — up to R 4.6 | R-bloggers
BERT lets you call R functions from Excel cells, but its author stopped work in 2018. Bringing it up to R 4.6 — and to working on every R from 3.5 up — turned up a deadlock that froze Excel and two bugs only the build machine could hide. The post Bringing BERT — R functions in…
Some useful equations for biological processes | R-bloggers
Biological phenomena are often studied by examining how a numerical variable, usually called the response (e.g., the weight or height of an organism), is affected by another variable, usually called the predictor (e.g., time or fertiliser applic...
June 2026 Top 40 New CRAN Packages | R-bloggers
Four hundred twelve new packages were submitted to CRAN in June. Here are my Top 40 picks in nineteen categories: Bioarchaeology, Biology, Climate Studies, Computational Methods, Ecology, Epidemiology, Finance, Functional Data Analysis, Machine ...
How to deploy a Shiny app for production | R-bloggers
February 2025 Top 40 New CRAN Packages
In February, one hundred fifty-nine new packages made it to CRAN. Here are my Top 40 picks in fifteen categories: Artificial Intelligence, Computational Methods, Ecology, Genomics, Health Sciences, Mathematics, Machine Learning, Medicine, Music,...
Efficient Data Structures in R
This article aims to explain the main data structures in R and how to use them.
https://www.r-bloggers.com/2025/03/the-ellmer-package-for-using-llms-with-r-is-a-game-changer-for-scientists-2/
The ellmer package for using LLMs with R is a game changer for scientists Why is ellmer a game changer for scientists? In this tutorial we’ll look at how we can access LLM agents through API calls. We’ll use this skill for created structued data fro...
How to Implement CatBoost in R
This article shows how to implement CatBoost in R.
How to Deploy R Models
This article will discuss simple ways to deploy and manage R models.
7 New Books added to Big Book of R [7/12/2024] | R-bloggers
I’m very happy to introduce 7 additions to the Big Book of R collection which now stands at almost 450 free, open-source R programming books. A special thanks to Gary and Lucca Scrucca for their submissions. In case you missed it, the Big Book of R bot is live on … The post 7…
How to Loop Through List in R with Base R and purrr: A Comprehensive Guide for Beginners | R-bloggers
Introduction R programming has become an essential tool in the world of data analysis, offering powerful capabilities for manipulating and analyzing complex datasets. One of the fundamental skills that beginner R programmers need to master is t...
The m=√p rule for random forests | R-bloggers
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, and do it…
Supply Chain Analysis with R Using the planr Package | R-bloggers
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...
Better A/B testing with survival analysis
Pic by author - using DALL-E 3 When running experiments don’t forget to bring your survival kit I’ve already made the case in several blog posts (part 1, part 2, part 3) that using survival analysis can improve churn prediction. In this blog post I’ll ...
Race Charts In R: How To Visualize And Compare Change Over Time With Gganim
So, you’ve mastered the basics of ggplot2 animation and are now looking for a real-world challenge? You’re in the right place. After reading this one, you’ll know how to download and visualize stock data change through something known as race charts. You can think of race charts…
Something a llttle different: Hexbin maps
Something a llttle different: Hexbin maps by Jerry Tuttle I recently became acquainted with hexbin maps, so I thought I would experiment with one. In a hexbin map, each geographical region is represented by an equall...
Why you shouldn’t use boxplots
Box plots are a very common tool in data visualization to show how your data is distributed. But they have a crucial flaw. Let’s find out what that flaw is. And if you’re interested in the video version of this blog post, you can find it here: ...
A Practical Guide to Data Normalization in R
Introduction Data normalization is a crucial preprocessing step in data analysis and machine learning workflows. It helps in standardizing the scale of numeric features, ensuring fair treatment to all variables regardless of their magnitude. In ...
Drawing 10 Million Points With ggplot: Clifford Attractors
For me, mathematics cultivates a perpetual state of wonder about the nature of mind, the limits of thoughts, and our place in this vast cosmos (Clifford A. Pickover - The Math Book: From Pythagoras to the 57th Dimension, 250 Milestones in the History of Mathematics) I am a big…
A quick introduction to machine learning in R with caret
Click here to get stared with machine learning in R using caret.
Extending churn analysis to revenue forecasting using R
In this article we will review application of clustering to customer order data in three parts. First, we will define the approach to developing the cluster model including derived predictors and dummy variables; second we will extend beyond a typical “churn” model by using the…
3 Reasons to Learn Caret
Machine learning is the study and application of algorithms that learn from and make predictions on data. From search results to self-driving cars, it has manifested itself in all areas of our lives and is one of the most exciting and fast-growing fields of research in the world…
Create Air Travel Route Maps in ggplot: A Visual Travel Diary
Create Air Travel Route Maps that look like airline route maps you find in aeroplane magazines using ggplot. Spatially visualise your travel diary. Continue reading → The post Create Air Travel Route Maps in ggplot: A Visual Travel Diary appeared first on The Devil is in the…
Tutorial: How to set up a Twitter bot using R
On occasion of the 10,000th R package on CRAN, eoda operated an automated Twitter account which regularly posted the current number of packages available on CRAN until the 10,000-package milestone has been passed on January 28, 2017. #Rstatsgoes10k – Hello World, it’s 2017-01-28…
Survival Analysis with R
With roots dating back to at least 1662 when John Graunt, a London merchant, published an extensive set of inferences based on mortality records, survival analysis is one of the oldest subfields of Statistics [1]. Basic life-table methods, including techniques for dealing with…
Spatial regression in R part 1: spaMM vs glmmTMB
Are you interested in guest posting? Publish at DataScience+ via your editor (i.e., RStudio). Category Advanced Modeling Tags Data Visualisation GLMM Logistic Regression R Programming spatial model Many datasets these days are collected at different locations over space which…
reshape: from long to wide format
This is to continue on the topic of using the melt/cast functions in reshape to convert between long and wide format of data frame. Here is the example I found helpful in generating covariate table required for PEER (or Matrix_eQTL) analysis:Here ...
http://blog.yhat.com/posts/R-for-excel-users.html
An Introduction to Spatial Econometrics in R
This tutorial was prepared for the Ninth Annual Midwest Graduate Student Summit on Applied Economics, Regional, and Urban Studies (AERUS) on April 23rd-24th, 2016 at the University of Illinois at Urbana Champaign.
Open Forensic Science in R
This book is for anyone looking to do forensic science analysis in a data-driven and open way.
Comprehensive guide for Data Exploration in R
A complete guide to data exploration in R explains how to read data sets in R, explore data in R, impute missing values in your dataset, merge in R, etc
Using MongoDB with R
MongoDB is a NoSQL database program which uses JSON-like documents with schemas. It is free and open-source cross-platform database. MongoDB, top NoSQL database engine in use today, could be a good data storage alternative when analyzing large volume data. To use MongoDB with R…
4 Data Splitting : The caret Package
Stay up-to-date on the latest data science and AI news in the worlds of artificial intelligence, machine learning, deep learning, implementation, and more.
5 Model Training and Tuning : The caret Package
Stay up-to-date on the latest data science and AI news in the worlds of artificial intelligence, machine learning, deep learning, implementation, and more.
apply lapply rapply sapply functions in R
apply function r, apply r, lapply r, sapply r, tapply r
One Page R
Ten more random useful things in R you may not know about
I had a feeling that R has developed as a language to such a degree that many of us are using it now in completely different ways. This means that there are likely to be numerous tricks, packages, functions, etc that each of us use, but that others are completely…
shiny - shiny.pdf
Spatial Statistics for Data Science: Theory and Practice with R
A book for Spatial Statistics for Data Science with R.
Unveiling the Smooth Operator: Rolling Averages in R
Introduction Ever felt those data points were a bit too jittery? Smoothing out trends and revealing underlying patterns is a breeze with rolling averages in R. Ready to roll? Let’s dive in! Rolling with the ‘zoo’ Meet the ‘zoo’ package, your t...
ChatGPT: How to automate Google Sheets in under 2 minutes (with R)
Hey guys, welcome back to my R-tips newsletter. In today’s R-tip, I’m sharing a super common data science task (one that saved me 20 hours per week)… You’re getting the cheat code to automating Google Sheets. Plus, I’m sharing exactly how I made this a...
Visualizing shapefiles in R with sf and ggplot2!
Introduction As data scientists, being able to investigate and visualize the geographic...
A Gentle Introduction to K-Means Clustering in R (Feat. Tidyclust)
To be successful as a Data Scientist, you’re often put in positions where you need to find groups within your data. One key business use-case is finding clusters of customers that behave similarly. And that’s a powerful skill that I’m going to help you...
SynthDiD 101: A Beginner’s Guide to Synthetic Difference-in-Differences
On the method’s advantages and disadvantages, demonstrated with the synthdid package in R
Exploring Distributions with {shiny} and {TidyDensity}
Introduction Shiny is an R package that allows you to build interactive web applications using R code. TidyDensity is an R package that provides a tidyverse-style interface for working with probability density functions. In this tutorial, we’ll ...
Model selection, AIC and Tweedie regression
Just some simple codes to illustrate some points we will discuss this week, for the last course on GLMs, before the final exam. We have mentioned that the Gamma distribution belongs to the exponential, so we can run a regression, and compute the associated AIC, > set.seed(123) >…
Using R in Inventory Management and Demand Forecasting
Nicolas Nguyen works in the Supply Chain industry, in the area of Demand and Supply Planning, S&OP and Analytics, where he enjoys developing solutions using R and Shiny. Outside his job, he teaches data visualization in R at the Engineering School EIGSI and Business School…
Designing Beautiful Tables in R
Learn how to design beautiful tables in R! Join our workshop on Designing Beautiful Tables in R which is a part of our workshops for Ukraine series. Here’s some more info: Title: Designing Beautiful Tables in R Date: Thursday, April 27th, 18:00 – 20:00 CEST (Rome, Berlin, Paris…
Statistical Computing With Graphics Processing Units
This thesis consists of two main projects and a third project which is provided in the appendix. The contribution of the first project, is a tool set for parallel random number gen- eration on GPUs…