heatmap

plot a heatmap with a third dimension

女生的网名这么多〃 提交于 2019-12-04 20:03:57
问题 I would like to plot a heatmap like this I know how to do a normal heatmap in R but am unsure how the 3D component can be introduced. I thought about just using a 3d bar chart but then I am not sure how to conditionally set the bar colour. Can somebody recommend a tool to do something like this? Another example would be here but there it is not coloured according to the heatmap colours. This might go also by the name of 3D histogram. Is there a way to produce such a figure in R (where the

print Sprintf error while the input is a string which consist of symbol in heatmap gnuplot

泪湿孤枕 提交于 2019-12-04 19:44:12
I am working on heat map with a unique dataset. The dataset consists of a symbol. Here is the example of my dataset 1q.txt one two three 2009 0/0 1 0/0 1 0/0 1 2010 0/0 1 0/0 1 0/0 1 2011 0/0 1 0/0 1 6/179.5 1 2012 0/0 1 2/0.4 1 11/83.0 1 2013 7/0.8 1 7/21.3 1 17/268.5 1 2014 1/3.5 1 4/7.7 1 9/37.9 1 and here is my gnuplot script set term pos eps font 20 unset colorbox unset key set nocbtics set cblabel "Score" set cbtics scale 0 set cbrange [ 0.00000 : 110.00000 ] noreverse nowriteback set palette defined ( 0.0 "#FFFFFF",\ 1 "#FFCCCC",\ 2 "#FF9999 ",\ 3 "#FF6666") set size 1, 0.5 set output

How to make a heatmap of 3 discrete values using ggplot2?

痴心易碎 提交于 2019-12-04 19:29:24
I have a problem with the aes parameters; not sure what it's trying to tell me to fix. My data frame is like so: > qualityScores Test1 Test2 Test3 Test4 Test5 Sample1 1 2 2 3 1 Sample2 1 2 2 3 2 Sample3 1 2 1 1 3 Sample4 1 1 3 1 1 Sample5 1 3 1 1 2 Where 1 stands for PASS, 2 for WARN, and 3 for FAIL. Here's the dput of my data: structure(list(Test1 = c(1L, 1L, 1L, 1L, 1L), Test2 = c(2L, 2L, 2L, 1L, 3L), Test3 = c(2L, 2L, 1L, 3L, 1L), Test4 = c(3L, 3L, 1L, 1L, 1L), Test5 = c(1L, 2L, 3L, 1L, 2L)), .Names = c("Test1", "Test2", "Test3", "Test4", "Test5"), class = "data.frame", row.names = c(

Google heatmap plotting with wrong gradient based on weight

时光总嘲笑我的痴心妄想 提交于 2019-12-04 18:57:31
I was having some problem with Google Heatmap. The result that I am getting as such: The following as the code for me to populate the array for heatmap, I declared the heatmapData as global array so that I can be used in some other function: var heatmapData = []; function addForecastMarker(marker){ // code to plot marker here heatmapData.push({location: new google.maps.LatLng(marker['lat'], marker['lng']), weight: marker['total'].toFixed(2)}); } When I tried to print out the above data to ensure I am retriving the correct data, I am getting these which mean my population for heatmapData is no

heatmap.2 with color key on top

点点圈 提交于 2019-12-04 17:55:40
I have the following code to show the color key above the heatmap. But the color key is not exact on top (a little shifted to the right) of the heatmap. Does anyone know how to make the color not shifted? Also, how to remove the white space on the right of the heatmap? Thanks. library(gplots) heatmap.2( matrix(rnorm(100*10), nrow=100) , dendrogram='none' , Colv = F , Rowv = F , trace='none' , col = colorRampPalette(c('blue', 'yellow'))(12) , labRow=NA , labCol=NA , density.info='none' , lmat=rbind(c(4, 2), c(1, 3)), lhei=c(2, 8), lwid=c(4, 1) ) One can center the color key by adding "padding

How to write a text into plotly heat map in r?

别说谁变了你拦得住时间么 提交于 2019-12-04 16:56:00
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, 2, 3, 4, 5) ) ) Here is a sample of 100 of my data frame, and the information of dput() : structure

Summarizing Latitude, Longitude, and Counts Data for ggplot Usage

岁酱吖の 提交于 2019-12-04 16:39:04
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 block values be included as zeroes, even if there is nothing there... otherwise the heatmap ends up looking

White space between tiles in heatplot ggplot

时光怂恿深爱的人放手 提交于 2019-12-04 13:26:27
I have this heatplot that I've generated using ggplot2. What I would like to do is to add white space between the variables listed in capital letters and the variables listed in lower case letters so as to separate these two categories. I still want the tiles to be of equal width. The code I've used to generate the plot is: ggplot(mockdata, aes(variable, Measurement)) + geom_tile(aes(fill = mockdata$plotval), colour = "dark red") + scale_fill_gradient2(limits=c(-20, 20),high = "firebrick3", low = "dodgerblue4") + theme_minimal() + theme(axis.text.x=element_text(size=28, angle=90), axis.text.y

Google Earth Heat Maps

杀马特。学长 韩版系。学妹 提交于 2019-12-04 11:09:30
问题 Is there a way to create a heat map in google earth, so areas with higher values (of some specified parameter, such as population) appear as hotspots? 回答1: This seems possible. For instance, take a look at those few links : Disclaimer : I've tried none of those HeatMapAPI.com And an example But I'm not sure how you'd do it ; seems related to .NET and a dll in some way... so might not be as nice as it seems... Density Mapping in Google Maps with HeatMapAPI Heat Maps for Google Maps - (a.k.a

Plot timeseries as heatmap

假装没事ソ 提交于 2019-12-04 11:04:59
I have a data frame with timestamps and values (a month with values approximately every 5min). Now I want to have plot with the day on the x-axis, the time of day on the y-axis and the value as the color. Best would be if I can control the binning on the y-axis (5min, 10min, 15min.. with the value as the mean for each bin). I am experimenting with ggplot2, but I can't get a reasonable result. p_heat <- ggplot(data = data, aes(x = days(timestamp), y = minutes(timestamp) + hours(timestamp) * 60, fill = value)) + geom_tile() Test data can be generated as follows: data <- data.frame(timestamp =