Скачать или смотреть Resolving NULL Subdendrograms in R with dendextend: A Guide to Custom Labeling

Discover how to successfully create subdendrograms in R using `dendextend` without encountering NULL values when changing label names. A step-by-step guide and a reproducible code example included!
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Resolving NULL Subdendrograms in R with dendextend: A Guide to Custom Labeling

Creating subdendrograms in R can be quite challenging, especially when it comes to customizing the label names of tree branches. One common issue that data scientists and statisticians encounter is getting NULL values in the subdendrograms after changing the labels. In this article, we will explore this problem and provide a step-by-step solution to successfully labeling your dendrograms with dendextend.

Understanding the Problem

When using the dendextend package in R, users often seek to customize the labels of their dendrogram’s leaves. However, as seen in our example, changing the labels can cause the get_subdendrograms function to return NULL values for some of the subdendrograms. This primarily happens when the label assignments are made before extracting the subdendrograms.

In Short:

The error arises when labels are modified prior to calling get_subdendrograms.

It results in some subdendrograms becoming NULL, making it impossible to visualize all branches effectively.

The Solution: Correct Timing for Label Changes

The key to resolving this issue lies in the order of operations within your code. Specifically, you should only change the labels of the main dendrogram and the sub dendrograms after the sub dendrograms have been extracted.

Step-by-Step Instructions

Here's how to implement this solution with clear sections and examples:

1. Load Necessary Libraries

First, ensure that you have the dplyr and dendextend libraries loaded.

[[See Video to Reveal this Text or Code Snippet]]

2. Define Your Labels and Colors

Next, define the new labels and colors you want to assign to the dendrogram. For example:

[[See Video to Reveal this Text or Code Snippet]]

3. Create the Dendrogram

Define your dendrogram object using the iris dataset, and apply the initial color settings, without changing the labels just yet:

[[See Video to Reveal this Text or Code Snippet]]

4. Extract Subdendrograms

Now, use the get_subdendrograms function to extract your desired subdendrograms:

[[See Video to Reveal this Text or Code Snippet]]

5. Assign Labels After Extraction

After extracting the subdendrograms, it's time to set the labels:

[[See Video to Reveal this Text or Code Snippet]]

6. Plot the Dendrograms

Finally, plot the results using the following code:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By following these steps and changing the labels after extracting the subdendrograms, you can avoid the frustrating issue of NULL values. This method ensures that all your subdendrograms are populated correctly, allowing you to visualize your data effectively.

With the right approach, customizing the names on the branches of your dendrogram can be achieved seamlessly. Now, you can take control of your dendrogram visualizations in R using dendextend!