How to use heatmap.2 Function from the gplots Package In R Language
R
# install.packages("gplots")library(gplots)# Generate random data for the heatmapdata <- matrix(runif(25), nrow=5)# Create a heatmap using heatmap.2heatmap.2(data, col=cm.colors(256), main="Random Data Heatmap", xlab="X-axis", ylab="Y-axis") |
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Adding a Dendrogram to a ggplot2 Heatmap in R
In this example, we load the gplots package, generate random data, and create a heatmap using the more flexible heatmap.2 function. Like the previous example, we specify the color palette with col and add labels and a title.
Adding a Dendrogram to a ggplot2 Heatmap in R
A potent technique that improves the visualisation of hierarchical clustering patterns inside data is to add a dendrogram to a ggplot2 heatmap in R. Dendrograms shed light on the connections and resemblances among data points, assisting in the discovery of distinct clusters or groups. We will examine how to combine dendrograms with ggplot2 heatmaps using R in this article, enabling a more thorough comprehension of intricate data structures and patterns.