similar to: Add grid lines to levelplot

I want to take slices of a multi-dimensional table (or array) without knowing the number of dimensions in advance. As a test I tried using (in this example a 3d table): do.call(`[`, list(tbl, x,NULL,NULL)] where I built the list on the fly. It works great as long as I only want the first dimension however when I try a different dimension, say with list(tbl,NULL,x,NULL), I get

The dataset package is being loaded apparently by one of the packages that I am using. The loading of the datasets takes a long time and I would like to eliminate it. I thought the datasets were effectively examples so don't understand why they would be required at all. 1) How can I determine what is causing the datasets to be loaded? 2) How can I stop them from doing so? I am using the

When I generate levelplot figures with Postscript, the lines from the underlying grid (i.e., the x and y in z ~ x* y) show up as faint white lines in the output. If I have a dense grid, the lines wash out the contour colors. I can avoid the problem if I use png instead, but that brings up other problems. Any ideas for how I can get Postscript to not show those lines around the cells? Scott

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

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

Hi, If I use the levelplot function of the lattice library, I always see small "squares" in the plot. They indicate the region for which the same color is used. If you have a levelplot of a function which is evaluated at 25x25 equally-spaced points you obtain 26 squares in x and 26 squares in y direction. That does not bother too much (but still bothers somehow...), but if you

Hello, I'm having trouble with using the alpha channel for transparency with lines with lattice levelplots. If I use transparency via the alpha argument to rgb to overplot lines on levelplot the transparent colour affects all of the region colours in the plot. Can anyone explain why the difference in region colours? #### Warning: this code attempts to create PDF files in working directory

Dear R-users, I am trying to produce a levelplot of a matrix of values (430x430) using "levelplot" from lattice package. My problem is that I am not able to obtain an image without blank/white lines in some rows and columns (a continuous image). Attached are two png files (different resolution) showing the problem. Is it possible to obtain "continuous images" as with the

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)

With "image" and "contour", one can get both colors and lines to enhance the image of a contour plot. What's the best way to do this with Lattice graphics? The following is one ugly hack, producing the desired result after much trial and error (R 1.9.1 alpha under Windows 2000): # setup DF <- expand.grid(x=1:3, y=1:3) DF$z <- (DF$x+DF$y) # Traditional

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

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

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

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

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))))