Heavy R programming – Heavy News

News and information about the R programming language

chilemapas is back on CRAN
Maps of the Political and Administrative Divisions of Chile Continue reading: chilemapas is back on CRAN
How to Create a Function in R: Custom Median & ggplot2 Examples
If you've written the same block of R code three times this week — a group summary, a plot, a cleanup step — you don't need another package. You need a function. A custom function is the solution. For example, two functions you'll actually reuse: a cus… Continue reading: How to Create a Function in […]
Navigating Challenges in Spatial Machine Learning
Spatial machine learning has become a standard tool for producing environmental and geographic prediction maps. It is now relatively (technically) easy to combine field observations with remote sensing, climate, terrain, or other predictor layer… Continue reading: Navigating Challenges in Spatial Machine Learning
ahead (Time Series Forecasting with uncertainty quantification) gets a lot faster to install: most dependencies are now optional
ahead (R) 0.38.1 and its Python wrapper now install in a fraction of the time, by moving almost every heavy modeling dependency from Imports to Suggests and installing them at runtime, only when a function actually needs them. Continue reading: ahead (Time Series Forecasting with uncertainty quantification) gets a lot faster to install: most dependencies […]
Research Workflows
I’m teaching MPTC again this semester and have been developing a few workflow slides. Here’s a popular one. The Scientific Process. Now if you’ll excuse me there’s a mandatory webinar I need to click … Continue reading: Research Workflows
Visualising High-dimensional Data with R workshop
Join our workshop on Visualising High-dimensional Data with R, which is a part of our workshops for Ukraine series! Here’s some more info: Title: Visualising High-dimensional Data with R Date: Thursday, October 1st, 10:00 – 12:00 CEST (Rome, Berlin, Paris timezone) Speaker: Dianne Cook is Professor of Statistics at Monash University in … Continue reading: […]
Bringing BERT — R functions in Excel — up to R 4.6
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 […]
R For SEO Part 10: SEO Reporting With Google Sheets & OpenRouter
R For SEO Part 10: SEO Reporting With Google Sheets & OpenRouter Welcome back, and we’re finally at the end of my R for SEO series, at least for now. We’ve gone through quite… This post was written by Ben Johnston on Ben Johnston Continue reading: R For SEO Part 10: SEO Reporting With Google […]
Slicing in tidyomics
Introduction The tidyverse verb slice() lets you select observations by position, returning a subset of the data based on integer indices. There are also some related convenience functions, which return observations by: slice_min() and slice_m… Continue reading: Slicing in tidyomics
Z-Test in R: Complete Guide with One-Sample & Two-Sample Examples
Complete guide to running one-sample and two-sample Z-tests in R using BSDA::z.test(), the manual pnorm/qnorm method, and how to choose between a Z-test and a t-test for your data. Read More » Continue reading: Z-Test in R: Complete Guide with One-Sample & Two-Sample Examples

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.”