How to use heatmap Function In R Language
R
# Generate random data for the heatmap data <- matrix ( runif (25), nrow=5) # Create a heatmap heatmap (data, col= cm.colors (256), main= "Random Data Heatmap" , xlab= "X-axis" , ylab= "Y-axis" ) |
Output:
In this example, we first generate random data using matrix and runif. Then, we create a heatmap using the heatmap function, specifying the color palette with col and adding 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.