/explore
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www.ericekholm.com | ||
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statsandr.com
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| | | | | Learn how to create professional graphics and plots in R (histogram, barplot, boxplot, scatter plot, line plot, density plot, etc.) with the ggplot2 package | |
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www.nicholas-ollberding.com
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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. | |
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www.rdatagen.net
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| | | | | Inspired by a free online course titled Complier Average Causal Effects (CACE) Analysis and taught by Booil Jo and Elizabeth Stuart (through Johns Hopkins University), I've decided to explore the topic a little bit. My goal here isn't to explain CACE analysis in extensive detail (you should definitely go take the course for that), but to describe the problem generally and then (of course) simulate some data. A plot of the simulated data gives a sense of what we are estimating and assuming. | |
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freerangestats.info
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| | | I set out to improve a Sankey plot that had been shared as an example of how bad they are, and hopefully show that some careful design decisions and polish can make these plot useful for purposes like seeing cohorts' progress (up, down, same) over time. | ||
