In this episode of Code Club, Pat will show how to create a heatmap in R using the geom_tile and geom_text functions from ggplot2. A heatmap is a popular chart type for visualizing the relative abundance of microbial ecology data. Pat will describe the strengths of heatmaps over stacked barcharts and piecharts but also the weaknesses of heatmaps.
Pat will use RStudio and the #geom_tile and #geom_text functions from the #ggplot2, package. The accompanying blog post can be found at https://www.riffomonas.org/code_club/2021-05-17-heatmap.
Do you have a figure that you would like to receive a critique or help improving? Let me know and I'd be happy to arrange a guest appearance!
If you're interested in taking an upcoming 3 day R workshop, email me at [email protected]!
R: https://r-project.org
RStudio: https://rstudio.com
Raw data: https://github.com/riffomonas/raw_data/releases/latest
Workshops: https://www.mothur.org/wiki/workshops
You can also find complete tutorials for learning R with the tidyverse using...
Microbial ecology data: https://www.riffomonas.org/minimalR/
General data: https://www.riffomonas.org/generalR/
0:00 Introduction
3:04 Converting a stacked barchart to a heatmap
8:40 Cutstomizing color gradient
11:04 Stylizing heatmap
14:11 Adding numeric values to tiles
17:17 Creating a genus-level heatmap
19:14 Converting heatmap to colored table
20:24 Critique
24:13 Recap