similar to: create custom function to annotate a levelplot

Hi, I am generating a beautiful plot with the 'levelplot' function over my square matrix of data. In order to help visualise the data I would like to draw a diagonal line on the matrix. Because the plot is actually a trellis object, I am having difficulty working out how to do this. I have been reading around, but I don't see any easy solution to the problem. (Most of the docs I have

Actually, this is supposed to work (and is given as an example in my DSC-2003 paper), and at some point, did. It seems this was broken as a consequence of a careless change in panel.levelplot. The first 5 lines should have been label.style <- match.arg(label.style) x <- as.numeric(x[subscripts]) y <- as.numeric(y[subscripts]) minXwid <- min(diff(sort(unique(x))))

I suggest to add a panel function to levelplot (or perhaps to an other 3d lattice function) which is able to translate the z values into the size of the rectangles. It could be used to display categorical data. I append the proposed code and two examples: - panel.catlevelplot() - example1.catlevelplot.esoph() - example2.catlevelplot.esoph() Wolfram Fischer #------ CODE

I'm trying to plot a grid over a levelplot print( levelplot( var1.pred~x+y, data=saw.pred, aspect=mapasp(saw.pred), col.regions=terrain.colors(80), main=main) ) using the data... > saw.pred x y var1.pred var1.var sort 1 5 5 3.3761200 256.3363 saw 2 15 5 3.3884142 499.5695 saw 3 25 5 3.5394769

Hello, I want to add a single contour line to a levelplot but can't figure out how to do it 'on-the-fly'. When I include the last line in the code below, I get the following error: Error in NextMethod("[") : Argument "subscripts" is missing, with no default Any tips on how to fix this are greatly appreciated! Ian Jonsen

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

Dear R-wizards, I'm trying to plot "binned scatterplots", or 2d histograms, if you wish, for a number of groups by using the lattice functionality it works fine for one group at a time, and probably I could find a work-around, but I prefer to do it the elegant way here's an example of what I want, what I tried and where it goes wrong: require(gregmisc) require(lattice) #toy

Dear R-users, I'd like to place an xyplot() at the top of a page and a levelplot() at the bottom of the same page, and have the x-axes be the same. I've come close to finding a solution through Rarchive, and can produce an upside-down version of what I'd like (levelplot() on the top - see code below). However, the following error occurs when I try and plot the xyplot() at the top:

Hello, I have encountered some unexpected behaviour with levelplot that may simply be a misunderstanding on my part. If I create a levelplot from a matrix with named columns, some "padding" space appears at the top and bottom of the heatmap. Here is an example, and I've used panel.fill to make the space I'm speaking of evident (in green).

I have been using levelplot but have had trouble calling it inside functions - something seems to go wrong when it's not called directly from the R command prompt. Simplest reproducible example: $ R --vanilla > library(lattice) > levelplot(matrix(1:4,2,2)) - This gives a nice plot in soothing pastel colors. Now, with a file lptest.r containing 2 lines: library(lattice)

Dear guRus, I'm having trouble producing a levelplot with relative cuts for each panel (my data has large differences in scales, so I want to use quantiles for each panel). My attempts to change the 'at' argument in panel.levelplot function have not met with success. Below is a toy example. xy <- expand.grid(x = 1:3, y = 1:3) aaa <- rbind(cbind(xy, z = 1:9, site =

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 there, I am creating a series of images using levelplot but I also want to overlay a contour for a particular value as reference. Here is the levelplot command for the image: print(levelplot(d~x+y,data=t,cuts=20,scales=list(draw=F),xlab=NULL,ylab= NULL,col.regions=heat.colors(100)[100:1]),split=c(1,1,1,1),more=T) and then to add the contour plot (I only want a contour at level 5):

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

Hi, I would like to add contour lines to a (trellis/lattice-) levelplot. Sure, there is the "contour=TRUE" argument, but this uses "cuts=..." (which is usually chosen very high for my plots. I guess cuts=99 is the best you can do (?)) for plotting the contour lines. Furthermore, I do not like the numbering of the contour lines this way. Therefore, I tried to add a

I'm a new user of levelplot, and are not familiar with the terminology very well. Is the bar alongside the levelplot indicating color or shade call "colorkey"? I have to adjust the size of its label, but couldn't make it so far. This is how I did: levelplot(z~x*y, grid, at=seq(0,1,by=0.1), colorkey=list(labels=list(cex=2))) But I got error message "Error in

Hi, I'm new to lattice. So please kindly be patient with me. I'm trying to arrange groups of levelplots into 3 rows as follows: Row1: Probabilities as functions of x and y, and conditioned on an event factor vector factor("a","b","c") Row2: Number of days as functions of x and y, and conditioned on, again the same event

Hi - I have a levelplot with positive and negative z-values. I'd like to scale the levelplot rectangles proportional to the *absolute* z-values to highlight the z-value extremes (while retaining the color difference to track the positive/negative attribute). I've likely missed something in the documentation, but have been at it a couple days without finding a solution (other than

Hi all, I encountered a difference between versions 1.6.1 and 1.7.0 when using levelplot with an option 'at'. Here are the specs of the two platforms used: > R.version _ platform sparc-sun-solaris2.8 arch sparc os solaris2.8 system sparc, solaris2.8 status major 1 minor 6.1 year 2002 month 11 day 01 language R > R.version _ platform

Dear lattice::levelplot users, I would like to use levelplot to plot uniformly sized blocks. Here is an example: require (lattice) u = runif(10) * 10 v = runif(10) * 10 z = runif(10) levelplot ( z ~ u + v, aspect="iso" ) The resultant figures have points (blocks) that are of variable size that attempt to fill in the space along each u, v dimension. Is it possible to force each point