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 tdhock.github.io
Toby Dylan Hocking | Visualizing prediction error
| | www.cedricscherer.com
Efficiency and Consistency: Automate Subset Graphics with ggplot2 and purrr - Cédric Scherer
3.2 parsecs away

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| | Discover how to effortlessly generate custom and even complex graphics for subsets of your data by seamlessly integrating {ggplot2}'s versatile plotting functionalities with {purrr}'s powerful functional programing capabilities. This is especially helpful for data featuring many categories or step-by-step graphical storytelling
| | www.nicholas-ollberding.com
Applying Topic Models to Microbiome Data in R | Academic
3.7 parsecs away

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| | Inherent limitations with one-at-a-time (OaaT) feature testing (i.e., single feature differential abundance analysis) have contributed to the increasing popularity of mixture models for correlating microbial features with factors of interest (i.
| | ggrepel.slowkow.com
Examples ggrepel
3.6 parsecs away

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| | timogrossenbacher.ch
Categorical spatial interpolation with R
18.8 parsecs away

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| In this blog post, I show how to easily produce a categorical spatial interpolation from a set of georeferenced points - only using the tidyverse, sf and the package kknn.