Heavy R programming – Heavy News

News and information about the R programming language

R’da ggplot2 paketi kullanarak Türkiye Haritası Çizdirmek
2018 yılında hazırlamış olduğum R’da ggplot2 ve maps Kutuphanelerini Kullanarak Harita Cizdirmek adlı yazımda, R’da ggplot2 ve maps paketlerini kullanarak harita çizdirmeyi anlatmıştım. Yıllar içinde oldukça fazla bu yazıyla ilgili mailler aldım, ancak aldığım son mailler … Continue reading: R’da ggplot2 paketi kullanarak Türkiye Haritası Çizdirmek
R version of ‘Backpropagating quasi-randomized neural networks’
R version of 'Backpropagating quasi-randomized neural networks' Continue reading: R version of ‘Backpropagating quasi-randomized neural networks’
Understanding the Link Between Uncertainty and Imports by glmnet
According to the graph below, suggested by Fernando Leibovici, the increase in uncertainty that began in late 2024 aligns with a rise in imports, indicating that US importers accelerated their purchases as a precaution against expected tariff increases or supply chain disruptions. When we model the variables with the glmnet engine, … Continue reading: Understanding the Link Between Uncertainty and Imports by […]
Segmented Total Bar Chart in R with “`ggsegmentedtotalbar“`
Kevin Flerlage, who is a data visualization specialist, suggested a great alternative to stacked bar plot on his blog. He called this new alternative “segmented total bar plot”. This R package ggsegmentedtotalbar implements this idea. The package is built on top of the ggplot2 package, which is a popular data … Continue reading: Segmented Total […]
How to draw a pie chart on a map in R with ggplot2 and scatter pie? An example for Turkey
Pie Chart… The unloved boy of visualization family. However, it is getting popularity especially when it is in conjuction with maps. For example, the following chart was publised by to illustrate the vote distribution across the country. Continue reading: How to draw a pie chart on a map in R with ggplot2 and scatter pie? […]
Future got better at finding global variables
The future package celebrates ten years on CRAN as of June 19, 2025. This is the first of a series of blog posts highlighting recent improvements to the futureverse ecosystem. The globals package is part of the futureverse and has had two recent rel… Continue reading: Future got better at finding global variables
Multilingual Publishing: Frequently Asked Questions
Read it in: Español.Read it in: Français. As we’ve said before, we believe that publishing multilingual resources can lower the barrier to access to knowledge, help democratize access to quality resources and increase the possibilities of contri… Continue reading: Multilingual Publishing: Frequently Asked Questions
THAMES for mixtures, a reply from the authors
[Here is a reply to my comments on THAMES sent by the first author of the paper, Martin Metodiev. The above replica of the cover of Rivers of London is obviously unrelated with the reply or the original blog, beyond presenting a fantasy map of the Thames!] Thank you for … Continue reading: THAMES for […]
It’s a linear world – approximately; and the "Rule of 72"
You are probably familiar with the "Rule of 72" in investing: if an investment compounds at annual interest rate i, then the number of years for money to double is approximately 72 / i. For example, if an investmen… Continue reading: It’s a linear world – approximately; and the "Rule of 72"
Beyond ARMA-GARCH: leveraging any statistical model for volatility forecasting
A flexible hybrid approach to probabilistic stock forecasting that combines statistical model with ARCH effects, offering an alternative to traditional ARMA-GARCH models Continue reading: Beyond ARMA-GARCH: leveraging any statistical model for volatility forecasting

The 8 Best R Programming Books in 2022

New course aims to train next generation of data scientists

“Ogihara and Bonnell chose to use R because it is attuned to statistical analysis and, by incorporating an increasingly popular collection of tools in R called tidyverse, students can easily learn how to process, wrangle, transform, and model data on their own, too.”