similar to: [Lattice] panel.levelplot - shrink argument to highlight absolute z-values

Hello, As recommended by N. Gunther, I'm writing you because I have some difficulties to create a script to track computer performance, as done in Holtman, 2005 (Visualization techniques for analysing patterns in system performance). I would like to do a leveplot, with the kind of file here enclosed. I assume I should create a matrix in R, then use the function 'image'. As I am not

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

Consider the following examples: library(lattice) x = c(1,1,2,2) y = c(1,2,1,2) z = 1:4 levelplot(z~x+y,at=c(.5, 1.5, 2.5, 3.5, 4.5)) # correct levelplot(z~x+y,at=c(.5, 1.5, 2.5)) # ? The second plot is clearly incorrect. However, I don't know what correct behaviour is: ignore everything above 2.5 and issue a warning? Reject at values that do not cover the data range, and issue an

Hi, I am using levelplot, and would like remove from each panel (condition) its unused x levels. e.g. Remove from panel vs=1 the cyl level=8. data(mtcars) levelplot(mpg~factor(cyl)*factor(gear)|factor(vs)) Thanks for your help, Ronny -- View this message in context: http://r.789695.n4.nabble.com/Lattice-levelplot-remove-unused-levels-per-panel-tp4656087.html Sent from the R help mailing

Dear all, I got a couple of warnings using panel.levelplot.raster, In panel.levelplot.raster(..., interpolate = TRUE) : 'y' values are not equispaced; output will be wrong although I was quite sure my data were equally spaced (indeed, I created them with seq()). A closer look at the source code reveals that the function tests for exact uniformity in grid spacing, if

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 want to draw a figure similar to http://dsarkar.fhcrc.org/lattice/book/images/Figure_13_07_stdBW.png from http://lmdvr.r-forge.r-project.org/figures/figures.html (figure 13.7) . However instead of using a contour plot as a panel for the wireframe I want to use a levelplot. Can somebody help me with this? Thanks in advance for any help, Kind regards, Anton Bossenbroek

Dear all; I have a data set with 3 groups and 2 response variables, say z1 and z2, and I would like to create a single plot (using the levelplot function) showing on the first row the leveplots for z1 for each group and on the second row levelplots for z2 for the same groups. I tried plot.trellis using the split option and it's OK but what I would like to achieve is something similar to what

Dear all, We used the following function to create a spatial plot of a raster image: filled.contour(xx,yy,zz, color = terrain.colors, nlevels=10, main=naamjaar, plot.axes = { contour(Xcoord/1000,Ycoord/1000,lim.data, nlevels = 4, col=4,drawlabels = T, axes = FALSE, frame.plot = FFALSE, add = TRUE);axis(1); axis(2);

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 =

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).

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

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))))

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

Hello, I've searched for help a lot and think I am close, but an still not able to place ticks and labels how I'd like in lattice's levelplot. I've come up with general reproducible code that gives the same problem as I'm having with real data: heat <- array(1:24,c(3,8)) require (lattice) ##basically I want a graph like this. depth y axis doesn't have ticks and

Given the example: R> (levs <- quantile(volcano,c(0,0.1,0.5,0.9,0.99,1))) 0% 10% 50% 90% 99% 100% 94 100 124 170 189 195 R> levelplot(volcano,at=levs) How can I make the key categorical with the size of the divisions equally spaced in the key? E.g., five equal size rectangles with labels at levs c(100,124,170,189,195)? Apologies if this is obvious. -A R> version

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

Hi all, How can I decrease the number of ticks on the y-axis in a lattice levelplot()? I have as many ticks displayed on the y-axis as I have columns of data (1000 columns), how can I decrease this amount of ticks, while still properly displaying all the data? Note that I get my data from a matrix object, in which the z-values of the levelplot are the actual values in the matrix, whereas the

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

Hi, I'm a novice with levelplot and need some assistance! Basically, I want a window which contains 6 levelplots of equal size presented in 3 columns and 2 rows. I've tried to approach it two ways. The first way leads to this question: Is there any way to concatenate levelplots from a factor vertically as opposed to horizontally? I'd like to pair the levelplots by factor.2 on