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How to Create a Function in R: Custom Median & ggplot2 Examples

<div style = "width:60%; display: inline-block; float:left; "> 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...</div> <div style = "width: 40%; display: inline-block; float:right;"></div> <div style="clear: both;"></div> <strong>Continue reading</strong>: <a href="https://www.r-bloggers.com/2026/09/how-to-create-a-function-in-r-custom-median-ggplot2-examples/">How to Create a Function in R: Custom Median & ggplot2 Examples</a>

2026/9/9
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ahead (Time Series Forecasting with uncertainty quantification) gets a lot faster to install: most dependencies are now optional

<div style = "width:60%; display: inline-block; float:left; "> 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.</div> <div style = "width: 40%; display: inline-block; float:right;"></div> <div style="clear: both;"></div> <strong>Continue reading</strong>: <a href="https://www.r-bloggers.com/2026/09/ahead-time-series-forecasting-with-uncertainty-quantification-gets-a-lot-faster-to-install-most-dependencies-are-now-optional/">ahead (Time Series Forecasting with uncertainty quantification) gets a lot faster to install: most dependencies are now optional</a>

2026/9/8
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Navigating Challenges in Spatial Machine Learning

<div style = "width:60%; display: inline-block; float:left; "> <p>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...</p></div> <div style = "width: 40%; display: inline-block; float:right;"></div> <div style="clear: both;"></div> <strong>Continue reading</strong>: <a href="https://www.r-bloggers.com/2026/09/navigating-challenges-in-spatial-machine-learning/">Navigating Challenges in Spatial Machine Learning</a>

2026/9/8
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Research Workflows

<p>I’m teaching MPTC again this semester and have been developing a few workflow slides. Here’s a popular one.</p> <p> The Scientific Process.</p> <p>Now if you’ll excuse me there’s a mandatory webinar I need to click ...</p> <strong>Continue reading</strong>: <a href="https://www.r-bloggers.com/2026/09/research-workflows/">Research Workflows</a>

2026/9/7
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Visualising High-dimensional Data with R workshop

<p>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 ...</p> <strong>Continue reading</strong>: <a href="https://www.r-bloggers.com/2026/09/visualising-high-dimensional-data-with-r-workshop/">Visualising High-dimensional Data with R workshop</a>

2026/9/5
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Bringing BERT — R functions in Excel — up to R 4.6

<p>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.<br /> The post Bringing BERT — R functions ...</p> <strong>Continue reading</strong>: <a href="https://www.r-bloggers.com/2026/09/bringing-bert-r-functions-in-excel-up-to-r-4-6/">Bringing BERT — R functions in Excel — up to R 4.6</a>

2026/9/4
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R For SEO Part 10: SEO Reporting With Google Sheets & OpenRouter

<div style = "width:60%; display: inline-block; float:left; "> R For SEO Part 10: SEO Reporting With Google Sheets &#038; OpenRouter<br /> Welcome back, and we’re finally at the end of my R for SEO series, at least for now. We’ve gone through quite...<br /> This post was written by Ben Johnston on Ben Johnston</div> <div style = "width: 40%; display: inline-block; float:right;"></div> <div style="clear: both;"></div> <strong>Continue reading</strong>: <a href="https://www.r-bloggers.com/2026/09/r-for-seo-part-10-seo-reporting-with-google-sheets-openrouter/">R For SEO Part 10: SEO Reporting With Google Sheets & OpenRouter</a>

2026/9/3
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Slicing in tidyomics

<p>Introduction<br /> 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:</p> <p>slice_min() and slice_m...</p> <strong>Continue reading</strong>: <a href="https://www.r-bloggers.com/2026/09/slicing-in-tidyomics/">Slicing in tidyomics</a>

2026/9/3
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Z-Test in R: Complete Guide with One-Sample & Two-Sample Examples

<p>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.</p> <p>Read More »</p> <strong>Continue reading</strong>: <a href="https://www.r-bloggers.com/2026/09/z-test-in-r-complete-guide-with-one-sample-two-sample-examples/">Z-Test in R: Complete Guide with One-Sample & Two-Sample Examples</a>

2026/9/2
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ROC, Paper, Scissor, Shoe

<div style = "width:60%; display: inline-block; float:left; "> 📊 Working through ROC-AUC from scratch, then poking at its blind spots — low prevalence, calibration, and finally Decision Curve Analysis. Mostly notes to myself on what I learned (and got confused by) along the way. 🤔📈</p> <p>Motivations</p> <p>We see ROC-AUC so often with classification models, we know the higher the better, but ...</p></div> <div style = "width: 40%; display: inline-block; float:right;"></div> <div style="clear: both;"></div> <strong>Continue reading</strong>: <a href="https://www.r-bloggers.com/2026/09/roc-paper-scissor-shoe/">ROC, Paper, Scissor, Shoe</a>

2026/9/2
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