similar to: levelplot + cut() for custom color palette

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):

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

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

R folks, I can't seem to find the instructions in the help files for the lattice package that explain how to add lines, such as with lines() or ?, to a levelplot. I'd be grateful if someone could point me in the proper direction. Cheers, Jeff ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Jeff Jorgensen Center for Limnology jcjorgensen at wisc.edu

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 =

Hi, I like to produce a series of levelplot graphs in postscript file, so I put the trunk of codes including postscript() and levelplot() in a for loop. The codes work fine outside the loop, but only produce empty .ps file when being put within the loop. Is it a problem associated with postscript() or levelplot()? How to get around the problem? Many thanks! Yan [[alternative HTML

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).

Dear mailing list, I am trying to find out, how do a levelplot without labels on the x- and y-axis. The labels=FALSE does not work...can anyone help me? m <- matrix(1:25, ncol=5) levelplot(m, labels=F) Regards, Benedikt

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

I am using levelplot() function from pkg:lattice and I want to add some points to the plot generated by levelplot() similarly as in basic R graphic sequence: plot(...); points(...), but it does not work. I was reading documentation for lattice, but so far without much success. I would very much appreciate some tips. Best regards, Ryszard

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

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

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

Dear R users, I have changed my R version to the new 1.8.1 and some problems appears when using the previous levelplot code. This is a simple example: a <-1:10 b <-11:20 j <- rnorm(100) grid<-expand.grid(a = a, b = b) levelplot(j~a*b, grid) Normaly in my previous vs this was suffice to produce the levelplot. Now, an empty R graphics device appears with the following error

R does a great job with the fine details regarding plots. e.g in the following: library(lattice) y <- -4:4/10 xyplot(y~1, las=1) the y axis is labelled with numbers -0.4, -0.2, 0.0, 0.2, 0.4 with the numbers aligned on the decimal point. How do I get the same behaviour in the colorkey of a levelplot? e.g. levelplot(matrix(y,3,3)) the numbers in the colorkey seem left-aligned, and

I'm using the {lattice} "levelplot" function to make a (more or less) 2-d histogram, and for the most part it's working fine with my data. However, I can't get the color key to do what I need. I can give it labels and custom cutoffs, but my cutoff lines (and hence my labels) aren't evenly spaced, instead they're more-or-less logarithmic, starting at

I am using levelplot() from lattice with grids that have unequal cell sizes. This means that the boundary between two cells is not always half-way between nodes, as levelplot() assumes. The result is that some cell sizes are rendered incorrectly, which can be painfully obvious if using relatively large cells. Is there any work-around? I am using the conditioning capability of lattice and

I've generated a levelplot showing the density distribution of a species derived from survey transects, with lon, lat co-ordinates. I'd like to overlay this on a map of the study region specified by: map('worldHires', xlim = range(mlon), ylim = range(mlat)), where mlon, mlat specifies the study region. I've tried plotting the map first, then using the options: 'add=TRUE,

I am trying to add labels equal to the value in a levelplot. I believe that panel may be the way to go but cannot understand the examples. In the following example: X,Y,Z A,M,100 A,M,200 B,N,150 B,N,225 I would like to label each of the rectangles 100,200,150 and 225 and colour according to the value The colouring is achieved by levelplot(z ~ x *y , data) but then I get stuck with the labels

I am trying to use the levelplot function from a command file. Here is the code: library(sp) library(gstat) library(lattice) gatherData <- read.table("~/gather.txt", header = TRUE) grd = makegrid(gatherData$x, gatherData$y, cell.size = 5) k <- krige(z~x+y, ~x+y, data = gatherData, newdata = grd, nmax = 5) levelplot(var1.pred~x+y, k, aspect = mapasp(k), main = "Predicted