R-bloggers - Part 3

Basic Data Structures in R: Vectors, Matrices, and Data Frames

January 14, 2025 | Numbers around us

IntroductionIn the world of data analysis and statistical computing, R stands out as a powerful and versatile language. Its ability to handle complex data operations with ease makes it a favorite among data scientists, statisticians, and researchers. A...

[Read more...]

Understanding Machine Learning and Data Science

January 14, 2025 | R Archives » Data Science Tutorials

The post Understanding Machine Learning and Data Science appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Understanding Machine Learning and Data Science, In today’s digital age, the terms “Machine Learning” and “Data Science” have become buzzwords, ... [Read more...]

Techtonique is out! (with a tutorial in various programming languages and formats)

January 13, 2025 | T. Moudiki

A platform for making informed, data-driven decisions using Mathematics, Statistics, Machine Learning, and Data Visualization

[Read more...]

Use of non-API entry points in data.table

January 13, 2025 | Ivan Krylov

In the late 1970’s, people at Bell Laboratories designed the S programming language in order to facilitate interactive exploratory data analysis (Chambers 2016). Instead of writing, compiling, scheduling, and interpreting the output of individua...

[Read more...]

Using gganimate and ggflags to look at democratic progress

January 12, 2025 | John Russell

Loading and Exploring a Tidy Tuesday Dataset One of my New Year’s resolutions was to become less of a lurker and more of a doer within the Tidy Tuesday community. There had been one dataset that I was super interested in exploring, based on Dem...

[Read more...]

Identifying data gaps with R

January 12, 2025 | gdickens

In this post, Giles outlines a simple approach that can be used to identify potential 'data gaps' using R. Data gaps are assumed to denote the difference between the data required to achieve an outcome and the currently data available. To demonstrate how the methodology might be applied, the availability ...

[Read more...]

Bayesian Meta-Analysis with brms

January 12, 2025 | Joseph Rickert

In our previous post, Examining Meta Analysis, we contrasted a frequentist version of a meta analysis conducted with R’s meta package with a Bayesian meta analysis done mostly in stan using the rstan package as a front end. We did this to hint a...

$\delta_i = \theta + \nu_i + \epsilon$

[Read more...]

US Presidential Elections – A Bayesian Perspective

January 12, 2025 | Tomer Zipori

Setup library(tidyverse) # As always library(brms) # For Bayesian modeling library(tidybayes) # For visualization library(patchwork) Introduction Ever since I’ve finished my grad studies (Few months ago), I wanted to experiment with so...

$K$

[Read more...]

{SLmetrics}: scalable and memory efficient AI/ML performance evaluation in R

January 11, 2025 | Serkan Korkmaz

On December 3rd, 2024, a post about the release of {SLmetrics} was published. Today, January 11th, 2025, version 0.3-1 has been released and comes with many new features. Among these are weighted classification and regression metrics, OpenMP support and a wide array of new evaluation metrics. In this blog post, I will ... [Read more...]

Best Git Books

January 10, 2025 | R Archives » Data Science Tutorials

The post Best Git Books appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Best Git Books, Git is an essential tool for version control and collaboration in software development. Whether you’re a beginner or an experienced ... [Read more...]

Working with colours in R

January 9, 2025 | R on Nicola Rennie

When you create a data visualisation using R (or any other software), a set of default colours is used. These aren’t always the most effective, or aesthetically pleasing, set of colours. That means that, at some point, you’ll likely want to...

[Read more...]

Dyson’s Algorithm for the Twelve Coins Problem

January 9, 2025 | Nina Zumel

Photo by Marco Verch, CC-2.0. Source The Twelve Coins Problem is a notoriously hard problem that comes in many flavors. I don’t know where it comes from originally, but it garnered quite a bit of attention from mathematicians in the mid-twe...

[Read more...]

Another season, another release. {survivoR} v2.3.5 now on CRAN

January 9, 2025 | Daniel Oehm

Survivor 47 has wrapped up and the data has been add to the package. There are a bunch of new […] The post Another season, another release. {survivoR} v2.3.5 now on CRAN appeared first on Dan Oehm | Gradient Descending. [Read more...]

Reposting Partial Pooling

January 8, 2025 | John Mount

Nina Zumel had some good articles on partial pooling estimators that I want to return to. It is a great technique to get more reliable models when using categorical variables. I wrote an introduction to them here some time ago. More importantly Nina has now repaired the damage to the […] [Read more...]

Spatial modelling with GAMs in R workshop

January 8, 2025 | Dariia Mykhailyshyna

Join our workshop on Spatial modelling with GAMs in R, which is a part of our workshops for Ukraine series! Here’s some more info: Title: Spatial modelling with GAMs in R Date: Thursday, January 30th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone) Speaker: Sophie Lee is a statistician and educator who ... [Read more...]

Top 5 Books to Learn Data Engineering

January 8, 2025 | R Archives » Data Science Tutorials

The post Top 5 Books to Learn Data Engineering appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Top 5 Books to Learn Data Engineering, Data Engineering is a critical field within the broader scope of data science and analytics ... [Read more...]

Your Classifier Is Broken, But It Is Still Useful

January 8, 2025 | David Lindelöf

When you run a binary classifier over a population you get an estimate of the proportion of true positives in that population. This is known as the prevalence. But that estimate is biased, because no classifier is perfect. For example, if your classifier tells you that you have 20% of positive ...

[Read more...]

Little useless-useful R functions – QR-Code Clock

January 8, 2025 | tomaztsql

Ever wanted to have a clock on the wall or in the office, that is not binary. But it is QR-Code clock 🙂 Well, now you can have it. This useless R function generates new QR Code for every given…Read more ›

[Read more...]

Setting values in R6 classes, and testing with shiny::MockShinySession

January 7, 2025 | Colin Fay

You can read the original post in its original format on Rtask website by ThinkR here: Setting values in R6 classes, and testing with shiny::MockShinySession Context Recently, we worked on testing a {shiny} app that relies on values stored within the session$request object. This object is an environment ... [Read more...]

Little useless-useful R functions – Vanishing sentences

January 6, 2025 | tomaztsql

Let’s play with some words. More in particular with vanishing words. Using two packages: ggplot2 and gganimate we will construct a animation (looped), where sentences will be vanishing, word by word. A nice way to train the ggplot animations. The…Read more › [Read more...]

« 1 2 3 4 5 … 2,159 »