similar to: heatmap with levelplot

How would I set the "scales" property of a lattice levelplot, so that I can add specific annotations at specific positions? For example, I have a 200 x 1000 element levelplot. Along the y-axis (along the 1000-element axis) I would like to add annotations on the left side of the levelplot at elements 120, 300, 500, and 805, which represent clusters of interest. Currently I have

Hi there, as I'm not sure to understand the coloring levelplot uses, I'm looking for another easy way to create a heatmap like this: library(lattice) mat <- matrix(seq(1,5, length.out = 12), nrow = 3) mat[1,2] <- 3.5 my.at <- seq(0.5,5.5, length.out = 6) my.col.regions <- rainbow(5) graph <- levelplot(t(mat[nrow(mat):1, ] ), at = my.at, col.regions = my.col.regions)

Hi there, I have a question concerning the behaviour of the colouring with levelplot. (I hope, I manage to explain) If I give the parameters "at" and "col.regions" like this: at <- c(1,2,3,4,5,6) col.regions <- c("blue","blue","blue","yellow","yellow","yellow") Which color would have the value 3.5? I would

Hi, How do I anchor z=0 to the white color in a levelplot so that the color changes from cyan to magenta precisely as z changes from negative to positive? Also is it easy to change color scheme, say to blue/red as it's more dramatic? Is there a better function for showing heatmap with a color bar? Thanks in advance for any help, I've played with image, heatmap and levelplot a little and

Hello, I'm not very experienced with lattice and I was wondering whether I get get some hints from you how to create a pure heatmap (using levelplot), without any axis, title, legend, margin at all... I just want to see the coloured squares, nothing else. Any suggestions? Antje

Dear R users, I am trying to print heatmaps in a loop (with a pause). Idea is to visualize changing correlations over time and for testing I wrote this simple (reproducible) code below. My problem is that levelplot() does not produce any output when I run the code (though heatmap does). Ideally I would like to use levelplot() as it produces a neat index on the side indicating the color and the

Hello, I have two questions. I'd like to visualize data with a heatmap and I have the following testcase: x <- rnorm(256) nx <- x + abs(min(x)) nnx <- 255/max(nx) * nx x <- matrix(nnx, 16, 16) rownames(x) <-

Hi guys, I have a matrix with values varying from approximately -0.7 to 0.33 that I want to create a heatmap/levelplot with. When I execute the levelplot function for my matrix, I end up getting colors that are adjusted to the max and min rather than around 0. In other words, ideally I would like to have a color ramp that goes from red (negative number), to white (0), to blue (positive);

Dear R communities May I seek your advices on how to change color the default in levelplot(), e.g. from the default of pink and light blue, to e.g. red and green ? The levelplot function has 1 of the arguments being panel (which is actually panel.levelplot), but I am not sure where the commands to alter the color. For example, I type: p1<-levelplot(my.mat,colorkey=FALSE), how could I

Hello! I have data containing a large number of probabilities (about 60) of nonzero coefficients to predict 10 different independent variables (in 10 different BMA models). i've arranged these probabilities in a matrix like so: (IV1) (IV2) (IV3) ... p(b0) p(b0) p(b0) p(b1) p(b1) p(b1) p(b2) p(b2) p(b2) ... where p(b1) for independent variable 1 is p(b1 !=

Hi there, I'm looking for someone who can give me some hints how to make a nice levelplot. As an example, I have the following code: # create some example data # -------------------------------------- xl <- 4 yl <- 10 my.data <- sapply(1:xl, FUN = function(x) { rnorm( yl, mean = x) }) x_label <- rep(c("X Label 1", "X Label 2", "X Label 3", "X

I have the following data as input, from which I would like to make a lattice levelplot: ----------------- x y level 1 m3134 m3134 1.0000000 2 m3134 m416B 0.4189057 3 m416B m3134 0.2696508 4 m3134 mA20 0.3322170 5 mA20 m3134 0.2454191 6 m3134 mB 0.3176792 ... ----------------- I transform the levels as follows, so that

I am trying to create levelplot's of cpu usage for systems. print(levelplot(util.mean ~ x.hour * x.day, colorkey=T, cut=20, scales=list(x=list(at=seq(0,96,length=25), labels=ifelse(seq(0,24) %% 4 == 0, seq(0,24), ''))), # add tick marks at the hour main="CPU Utilization During November on idnprod",

Dear R users, I'm currently trying to make level plots of a longitudinal study of the spatio-temporal spread of a plant disease in a field, but the results of the color key assignment isn't what I expect. Here's more info. I recorded the level of a disease on an ordinal scale from 0 (no disease) to 9 (dead plant) on a grid that has 9 rows and 14 columns. The disease level on each

Hi I made heatmap of QTL based on Lod score. Where I have traits in columns and marker data (rows). I can not cluster both column and rows as I need the right order for marker data. Can someone suggest me better way of generating heatmaps especially the colour key I want to select to visualize the results which are more interesting to look at. > library(gplots) >

hello could anyone tell my, why I do not suceed with mfrow? par(mfrow=c(4,4)) for (i in 5:17){ levelplot(maxwater[,i]~maxwater$V1*maxwater$V2, col.regions=whiteblue(5), xlab="", cuts=4) } Thanks Marc --

I am trying to display data ion top of colored rectangle on the same levelplot. While using superpose the shape and symbol for levelplot changes to small circle. I am unable to figure what exactly I am doing wrong... It may be straightforward solution... .I will appreciate help to fix this issue.

Hi,   I need to generate a heatmap on a square matrix and wouldn't want to reorder the columns and the rows on the heatmap display.    I have used the options Rowv=NULL and Colv=NULL but doesn't seem to work. Following is a snippet of the heatmap function i am using. args <- commandArgs(); inputfile <- args[2] imgfile   <- args[3] bitmap(imgfile, height=15, width=15, res=100,

Hi all, I just try to get familiar with levelplot() for generating heatmaps. I have x, y, z-data stored in a file: e.g.: "file.csv": 0 0 0.1 0 1 0.5 0 2 0.4 1 0 0.3 1 1 0.4 1 2 0.6 ... I can use scan() for generating the matrix for R: inp <- scan("file.csv", list(0, 0, 0)) How can I feed inp into levelplot()? Thanks a lot for your help Richard -- Richard M?ller . Am

Hi, i created a graph with heatmap(sma) function: heatmap(dataHeat(x)) and I wish to change the gradation of colors from blue to red, how could i do? Using "heatmap(dataHeat(x), col=c(2,4))" i will use only 2 colors without gradation. Ty so much Andrea