dendrogram

问题 Does anyone have a method to adorn an R corrplot correlation plot with a dendrogram? 回答1: The closest solution I know of is to use a heatmap on a correlation matrix, for example you could also use gplots::heatmap.2. Here is how to do it using the heatmaply R package, which also offers an interactive interface where you can zoom-in and get a tooltip when hovering over the cells: # for the first time: # install.packages("heatmaply") library(heatmaply) my_cor <- cor(mtcars) heatmaply_cor(my_cor)

问题 Does anyone have a method to adorn an R corrplot correlation plot with a dendrogram? 回答1: The closest solution I know of is to use a heatmap on a correlation matrix, for example you could also use gplots::heatmap.2. Here is how to do it using the heatmaply R package, which also offers an interactive interface where you can zoom-in and get a tooltip when hovering over the cells: # for the first time: # install.packages("heatmaply") library(heatmaply) my_cor <- cor(mtcars) heatmaply_cor(my_cor)

问题 I can not get the color leaves from the scipy dendrogram dictionary. As stated in the documentation and in this github issue, the color_list key in the dendrogram dictionary refers to the links, not the leaves. It would be nice to have another key referring to the leaves, sometimes you need this for coloring other types of graphics, such as this scatter plot in the example below. import numpy as np import matplotlib.pyplot as plt from scipy.cluster.hierarchy import linkage, dendrogram # DATA

问题 I am trying to plot a heatmap with the library pheatmap in R. I think that by default the branch length is proportional to the "dissimilarity" of the clusters that got merged at this step. I would like to chance that, so it is a fixed value because for my purpose it looks very weird! If anyone has an idea how I can fix this, I would be very happy. Here is a sample code library(pheatmap) test = matrix(rnorm(6000), 100, 60) pheatmap(test) Cheers! 回答1: Here is an example of two column groups

问题 I have a massive dendrogram with hundreds of names on it, that I'd like to be make interactive so that users can draw a box and "zoom in" on the names and part of the tree of interest. The original code for creating it is borrowed from here. Pictured here: I turned it into a shiny app and borrowed some code from here in order to make it zoomable. And it KINDA works. It runs, the two graphs show up, and nothing gives me an error. But it doesn't work as intended. (I'll post code below). What I

问题 How could I add a label for some colored bars I've added in a dendrogram plot? The code bellow will show the two attempts I've done for aiming task, which is linking the value 1 to the color red and value 0 to color white in a label for the colored bars. # replacing the graphic window parameter so the color bars would fit par( oma = c(0,1,1,1), mgp = c(1,0.5,0), mar = c(10,2,2,2) ) # load necessary packages library( squash ) library( dendextend ) # "initializatin" data("mtcars") myDend <- as

问题 How could I add a label for some colored bars I've added in a dendrogram plot? The code bellow will show the two attempts I've done for aiming task, which is linking the value 1 to the color red and value 0 to color white in a label for the colored bars. # replacing the graphic window parameter so the color bars would fit par( oma = c(0,1,1,1), mgp = c(1,0.5,0), mar = c(10,2,2,2) ) # load necessary packages library( squash ) library( dendextend ) # "initializatin" data("mtcars") myDend <- as

问题 This is my first time of doing visualization from hierarchical data in dictionary format with Python. Last part of the data looks like this: d = {^2820: [^391, ^1024], ^2821: [^759, 'w', ^118, ^51], ^2822: [^291, 'o'], ^2823: [^25, ^64], ^2824: [^177, ^2459], ^2825: [^338, ^1946], ^2826: [^186, ^1511], ^2827: [^162, 'i']} So I have indices on lists referring back to the keys (index) of the dictionary. I suppose this could be used as a base structure for the visualization, please correct me if

问题 This is my first time of doing visualization from hierarchical data in dictionary format with Python. Last part of the data looks like this: d = {^2820: [^391, ^1024], ^2821: [^759, 'w', ^118, ^51], ^2822: [^291, 'o'], ^2823: [^25, ^64], ^2824: [^177, ^2459], ^2825: [^338, ^1946], ^2826: [^186, ^1511], ^2827: [^162, 'i']} So I have indices on lists referring back to the keys (index) of the dictionary. I suppose this could be used as a base structure for the visualization, please correct me if

问题 This is my first time of doing visualization from hierarchical data in dictionary format with Python. Last part of the data looks like this: d = {^2820: [^391, ^1024], ^2821: [^759, 'w', ^118, ^51], ^2822: [^291, 'o'], ^2823: [^25, ^64], ^2824: [^177, ^2459], ^2825: [^338, ^1946], ^2826: [^186, ^1511], ^2827: [^162, 'i']} So I have indices on lists referring back to the keys (index) of the dictionary. I suppose this could be used as a base structure for the visualization, please correct me if