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 ...
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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...
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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...
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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...]

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 ...
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Some of the more useful Tidyverse functions

January 1, 2025 | tomaztsql

R functions for every data engineer using Tidyverse Tidyverse has long been an amazing collection of R packages, primarily for data engineering and data science. Common among these packages is the same language grammar, great design and structure, making data…Read more ›
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