2/1/2022

R Heat

R heatshield

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The heatmap() function is natively provided in R. It produces high quality matrix and offers statistical tools to normalize input data, run clustering algorithm and visualize the result with dendrograms. It is one of the very rare case where I prefer base R to ggplot2.


ggplot2 also allows to build heatmaps thanks to geom_tile(). However, I personally prefer the heatmap() function above since only it offers option for normalization, clustering and Dendrogram.

R&r Heat Treating Pa


Three options exist to build an interactive heatmap from R:

R Heatshield

  • plotly: as described above, plotly allows to turn any heatmap made with ggplot2 interactive.

  • d3heatmap: a package that uses the same syntax as the base R heatmap() function to make interactive version.

  • heatmaply: the most flexible option, allowing many different kind of customization. See the code of the chart beside here.
See codeHeatmap section

Pellets R Heat New London Wi


Heatmap for time series

Heatmaps can be a very good alternative to visualize time series, especially when the time frame you study is repeating, like weeks. Here is a customized example, but visit the time series section for more.

R Heat Images

CodeTime series section

R Heatmap Color