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tdhock.github.io | ||
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ggrepel.slowkow.com
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www.nicholas-ollberding.com
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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jaredknowles.com
[AI summary] This tutorial covers advanced R programming techniques including coding style, for loops, functions, mixed effect models, data mining with caret, and performance optimization. |
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ggplot2.tidyverse.org
Themes are a powerful way to customize the non-data components of your plots: i.e. titles, labels, fonts, background, gridlines, and legends. Themes can be used to give plots a consistent customized look. Modify a single plot's theme using theme(); see theme_update() if you want modify the active theme, to affect all subsequent plots. Use the themes available in complete themes if you would like to use a complete theme such as theme_bw(), theme_minimal(), and more. Theme elements are documented together according to inheritance, read more about theme inheritance below. |
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