dendextend | Extending R 's Dendrogram Functionality | Build Tool library

 by   talgalili R Version: Current License: No License

kandi X-RAY | dendextend Summary

kandi X-RAY | dendextend Summary

dendextend is a R library typically used in Utilities, Build Tool applications. dendextend has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Class "dendrogram" provides general functions for handling tree-like structures in R. It is intended as a replacement for similar functions in hierarchical clustering and classification/regression trees, such that all of these can use the same engine for plotting or cutting trees. However, many basic features are still missing from the dendrogram class. This package aims at filling in some gaps.
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              dendextend has a low active ecosystem.
              It has 128 star(s) with 24 fork(s). There are 13 watchers for this library.
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              It had no major release in the last 6 months.
              There are 51 open issues and 38 have been closed. On average issues are closed in 61 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of dendextend is current.

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              dendextend has no bugs reported.

            kandi-Security Security

              dendextend has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              dendextend does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              dendextend releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            dendextend Key Features

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            dendextend Examples and Code Snippets

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            Community Discussions

            QUESTION

            Saving dendrograms modified with dendextend in R
            Asked 2021-May-23 at 04:09

            I want to rotate the order of several groups in a dendrogram and managed to do it with dendextend. However, when I try to save the plot with ggsave I end up with the original dendrogram, unrotated. Is there a way to save the rotated dendrogram with ggplot2? My code is as follows:

            ...

            ANSWER

            Answered 2021-May-22 at 17:04

            Several points:

            1. I don't think there is a need to use the dendroextras package. The dendextend package includes all the functions you need (with a more consistent API).
            2. No need for ggplot2 or ggsave, since the plot you're creating is not a ggplot2 plot, but rather an R base Graphics plot. Hence, you can save your plot using something like png("file_loc.png"); plotting_functions(); dev.off()
            3. You need to save the rotation into the dendrogram

            Like this:

            Source https://stackoverflow.com/questions/67642588

            QUESTION

            Add percentage labels inside bars in circos.barplot in Circlize
            Asked 2021-May-12 at 17:22

            I was able to create a stacked bar chart like this:

            ...

            ANSWER

            Answered 2021-May-12 at 17:22

            I figured it out by modifying the code of the circos.barplot function.

            The labels are drawn in a second loop after the rectangles so that the rectangles are not drawn over the labels.

            Source https://stackoverflow.com/questions/67504090

            QUESTION

            How to label just one observation in hierarchical clustering tree with dendextend?
            Asked 2020-Dec-15 at 22:35

            I'd like to create a hierarchical clustering tree of a relatively large dataset (>3000 obs). Unfortunately, by including so many labels at the terminal nodes, the tree looks very cluttered and contains lots of unnecessary information. So to reduce the clutter, I'd like to just label one observation of interest. I have removed all of the labels but I don't know how to retrieve and add the label that I'm interested in.

            For this MWE, let's assume, I'd like to add the letter k to my dendrogram.

            ...

            ANSWER

            Answered 2020-Dec-15 at 21:42

            You can specify the labels set function. If you only want to show one, make the others be the null string.

            Source https://stackoverflow.com/questions/65313897

            QUESTION

            How do I plot dendrogram leaves by a given value (depth in a sediment core) rather than in sequential order?
            Asked 2020-Dec-08 at 22:44

            I am working with ecological data (the percentage abundance of different diatom species present at different depths in a sediment core) and want to plot the results alongside a dendrogram representing the results of a hierarchical cluster analysis (CONISS) that I will use to split the core into ecological zones.

            This is an example of the type of thing I am trying to achieve:

            I have successfully run the cluster analysis but am struggling to plot the dendrogram the way I would like to. Whenever I plot the dendrogram, it plots the leaves of the dendrogram in sequential order (as shown here). However, I need the leaves to plot by depth from the top of the sediment core so that there is a leaf present at each depth of the core that I have examined and so that there are gaps in the dendrogram where I have missing samples (as shown here). (Note there is no y-axis shown here as the dendrogram will join onto the rest of the diagram, which already contains the y-axis.)

            I managed to create the latter plot through the rioja package using plot.chclust and providing the depths for the leaves to the xvar argument. However, I have constructed the rest of my diagram (the species abundance data, PCA results etc.) with ggplot (and the help of the tidypaleo package) and then combined the various aspects of it using cowplot. I need to be able to create the dendrogram through ggplot in order to add it to my main diagram. I have investigated both the ggdendro and dendextend packages but can't find a way to plot the dendrogram according to depth using these. Is this possible? Do these packages have a function to do this that I am not aware of? I started looking into the source code for these packages as well as for as.dendrogram to see if I could figure out a way of modifying the functions to plot the leaves by depth but it is beyond my skill level. I was wondering if anyone has a solution to enable me to plot my dendrogram by depth in my sediment core rather than in sequential order?

            My data

            This is the data that I have used to calculate the distance matrix in the code below. (Apologies for the very long dput!)

            My code to plot the dendrograms ...

            ANSWER

            Answered 2020-Dec-08 at 21:43

            The actual depths are mapped to the x values in ddata$labels, so you can reverse-map the x values to actual depths. A handy way to do this is with approxfun:

            Source https://stackoverflow.com/questions/65207033

            QUESTION

            Pheatmap : How to keep only the dendogram
            Asked 2020-Sep-24 at 20:14

            I have a heatmap I made through R with pheatmap package :

            The problem is that it's a bit unlisible ( I 've exported it on a pdf but we need to zoom to see the whole picture) plus I only want to keep the dendogram and tidy the y axis with the group column to have something like this :

            Here is a look of my datas :

            ...

            ANSWER

            Answered 2020-Aug-12 at 08:00

            The pheatmap function returns the row and column dendrograms, which can be plotted separately.
            See the following example.

            Source https://stackoverflow.com/questions/63364044

            QUESTION

            renv 0.12.0 was loaded from project library, but renv 0.11.0 is recorded in lockfile
            Asked 2020-Sep-15 at 22:47

            Upon opening a project on rstudio i have the following Warning:

            ...

            ANSWER

            Answered 2020-Sep-15 at 22:47

            I think this is ultimately a small bug in renv. Here's my guess at what's happening:

            1. While this project has been initialized as an renv project, it does not have a lockfile for some reason. (Perhaps renv::activate() was called to initialize renv without explicitly creating a lockfile?)

            2. The project has an renv autoloader; this is from a script at renv/activate.R. That script is configured to load renv 0.11.0.

            3. When the project is loaded, renv finds that renv 0.12.0 is installed in the project library, not the expected version 0.11.0. This causes the warning to be emitted. (Perhaps renv was updated in that project previously?)

            So, ultimately, the warning is misleading here -- the request for renv 0.11.0 comes directly from the autoloader, not from the lockfile (which does not exist). As for why the lockfile does not exist, I'm not sure -- but it most likely implies the project was initialized via renv::activate(), and not by renv::init().

            All that said -- you can safely re-generate the lockfile via renv::snapshot().

            Source https://stackoverflow.com/questions/63897210

            QUESTION

            How to flip hierarchical clustering nodes in pheatmap
            Asked 2020-Aug-12 at 06:25

            I have the following code:

            ...

            ANSWER

            Answered 2020-Aug-12 at 06:25

            Maybe this is what you are looking for.

            Source https://stackoverflow.com/questions/63351845

            QUESTION

            Remove labels from dendogram generated with dendextend
            Asked 2020-Aug-05 at 20:12

            This is a similar question but not quite the same since I would like to do this with dendextend. My issue is that some of the names of my labels are quite long and I would like to just remove them. I had tried a few techniques already.

            1. I tried changing cex = 0
            2. I tried changing the color to white but all this does is hide the labels and when the names are long is still an issue.
            3. I tried plotting labels =F , but this does not work as well. Is there anyway to completely eliminate the labels? Here is an example code.
            ...

            ANSWER

            Answered 2020-Aug-05 at 20:12

            You can use dendrapply to change or remove the label attribute of the leaf nodes:

            Source https://stackoverflow.com/questions/63271777

            QUESTION

            How to color branches in R dendogram as a function of the classes in it?
            Asked 2020-Apr-02 at 14:19

            I wish to visualize how well a clustering algorithm is doing (with certain distance metric). I have samples and their corresponding classes. To visualize, I cluster and I wish to color the branches of a dendrogram by the items in the cluster. The color will be the color most items in the hierarchical cluster correspond to (given by the data\classes).

            Example: If my clustering algorithm chose indexes 1,21,24 to be a certain cluster (at a certain level) and I have a csv file containing a class number in each row corresponding to lets say 1,2,1. I want this edge to be coloured 1.

            Example Code:

            ...

            ANSWER

            Answered 2017-Aug-01 at 11:00

            there are suspicions that misunderstood the question however I'll try to answer: from my previous objectives were rewritten by the example of iris

            Source https://stackoverflow.com/questions/45432271

            QUESTION

            R plots with equal color mapping
            Asked 2020-Feb-17 at 17:57

            The following code produces the shown plot.

            ...

            ANSWER

            Answered 2020-Feb-17 at 17:57

            The issue with your color pattern is that your vales are not sorted in the same order for each plot. On the right plot, hclust will order each id in function of their distance and on the left plot they are sorted by their label id.

            To get the same order, you need to attribute the order of hclust to your dataframe. You can find this order in the variable order from your hclust object:

            Source https://stackoverflow.com/questions/60266931

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

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