heatmap

问题 Hello I make a heat map with plotly . The code is: plot_ly(z = ~df$MonetaryClass, x = ~df$RecencyClass, y = ~df$FrequencyClass, type = "heatmap") %>% colorbar(title = 'Monetary Class', limits = c(1,5), tickmode = 'array', tickvals = c(1,2,3,4,5)) %>% layout(title = "RFM Analyse", xaxis = list(title = 'Recency Class', tickmode = 'array', tickvals = c(1, 2,3,4,5), ticktext = c(1, 2, 3, 4, 5) ), yaxis = list(title = 'Frequency Class', tickmode = 'array', tickvals = c(1, 2,3,4,5), ticktext = c(1,

问题 I have been provided with some customer data in Latitude, Longitude, and Counts format. All the data I need to create a ggplot heatmap is present, but I do not know how to put it into the format ggplot requires. I am trying to aggregate the data by total counts within 0.01 Lat and 0.01 Lon blocks (typical heatmap), and I instinctively thought "tapply". This creates a nice summary by block size, as desired, but the format is wrong. Furthermore, I would really like to have empty Lat or Lon

问题 As the above screenshot showed, I used the function heatmap.2() here. how can I change ' Value ' in the color coded bar to any other name ? One can just use the data from gplots package: library(gplots) data(mtcars) x <- as.matrix(mtcars) rc <- rainbow(nrow(x), start=0, end=.3) cc <- rainbow(ncol(x), start=0, end=.3) heatmap.2(x, key=TRUE) Many thanks :-) 回答1: It's hard-coded. You will need to change it in the code. It appears about midway down the section that draws the key and the line is:

问题 I am trying to make a heatmap in R in which the label text is colored (to indicate which group the data point comes from). I am currently using heatmap.2, but would be happy to use another package. heatmap.2(data.matrix(data),trace = 'none', dendrogram='none',ColSideColors=col) This call gives me the colored bar (ColSideColors) along the labels, but I'd like to make the labels themselves colored. Many thanks! 回答1: You will need to create a new function that includes the col.axis argument.

问题 I am trying to make a heatmap in R in which the label text is colored (to indicate which group the data point comes from). I am currently using heatmap.2, but would be happy to use another package. heatmap.2(data.matrix(data),trace = 'none', dendrogram='none',ColSideColors=col) This call gives me the colored bar (ColSideColors) along the labels, but I'd like to make the labels themselves colored. Many thanks! 回答1: You will need to create a new function that includes the col.axis argument.

问题 I made static heatmaps with the library(ggmap) and the stat_density2d() function. Looking to recreate this in a shiny app on a dynamic leaflet map, I found addHeatmap() . However, the resulting images are dissimilar, with the ggmap version seemingly offering the correct result. GGMAP LEAFLET What is causing this difference? To run both of the below reproducible examples, you can download some data (csv file) I put here. https://drive.google.com/drive/folders/0B8_GTHBuoKSRR1VIRmhOUTJKYU0?usp

问题 I'm trying to print out a grid of heatmaps using plotly for R in Shiny. I want to give them a custom color scale, but it's not behaving how I want it to. When I use the colors= option when building my plotly chart, it seems to use the distribution of values, rather than the zmin and zmax that I gave it to assign colors. In my example code below, you can see that I give each plot the same colorscale (colorScale) using the colors= option. This works how I expect when I have a well distributed

问题 I want to generate heatmap images as overlay for Google Maps. I am searching for a PHP library which can take multiple dimensions into account when generating the image. Let's say i have 2 dimensions: density and quality. How could a heatmap be generated from this input? 回答1: Use fusionTable, refer to here for some sample PHP code. 回答2: If you want to generate heatmap layers over google maps you probably want to check out heatmap.js too, it's licensed under the MIT license. It works with the

问题 Given a N x N array I want to generate a heat map that visualizes data in such a way: Given the source image below I created a sparsely populated N X N array that contained the points listed below. 90 points in a 1000x800 array. When researching online how to generate such a heatmap I stumbled on using colormap only to get disappointing results. colormap('hot'); % set colormap imagesc(points); % draw image and scale colormap to values range colorbar; I got rather disappointing results. What

问题 I have an Excel file with two different columns. One column have values ranging from 2 to 15 and other column have values ranging from positive to negative numbers. I want to produce a heatmap in such a way that for first column each value should have a different color. Second column should be in the form of a gradient. I tried using excel conditional formatting to do this. But I want to know is there any way to do it in R? 回答1: The R command image() takes a matrix and makes a heat-map from