R bloggers

Flowcharts made easy with the package {flowchart}

January 17, 2025 | Pau Satorra

In health research, a flowchart is the best way to show the flow of participants in a study when reporting results. But drawing flowcharts can be tedious to prepare and can get on your nerves. Fortunately, there are several packages in R for drawing flowcharts using different approaches. The problem ... [Read more...]

Using fuzzyjoin to work with NCES data

January 16, 2025 | John Russell

Tidy data structure, messy data Like families, tidy datasets are all alike but every messy dataset is messy in its own way. - Hadley Wickham We often work with datasets where there is a unique identifier that can be used to link or filter the... [Read more...]

Best Prompt Engineering Books

January 15, 2025 | R Archives » Data Science Tutorials

The post Best Prompt Engineering Books appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Best Prompt Engineering Books, Prompt engineering is a rapidly growing field that focuses on crafting high-quality input prompts to elicit accurate and informative ... [Read more...]

Amazon vs. MicroStrategy

January 15, 2025 | Selcuk Disci

According to the simulation results, MicroStrategy has had a positive trend with less volatility for the last ten years compared to AMAZON, which has had a negative trend with high volatility. Source code: [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...
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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...]
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