similar to: polygons around clusters of identically valued nodes in levelplot()

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 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

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

In the example: x = rep(c(0,0,1,1),4) y = rep(c(0,1,0,1),4) z = c(1,0,1,0,0,0,1,1,0,1,0,0,1,1,1,1) f = as.factor(c(rep("a",4),rep("b",4),rep("c",4),rep("d",4))) levelplot(z~x+y|f,data.frame(x=x,y=y,z=z,f=f)) I noted that the last ("d") plot remains empty. I guess the reason for this is that the values are constant (1), but I consider it more

Dear R-Users, how to include error bars within lattice? How should the panel = function(x,y,...){ looks like? Does panel.arrows works here as well? I appreciate any help on this. Regards, Mario AT [[alternative HTML version deleted]]

Can anyone tell me how to obtain a custom scale for the colorkey in each levelplot of a lattice? I am using lattice and levelplot to plot z = f(x, y) for multiple z variables. x and y values are the same across plots, but units for z are different and therefore I need to create a custom scale for each plot's key. It follows that I need to place each plot's key inside that plot's

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

Hi all, I have been previously been using scatterplot3d package to create some graphs but unfortunately it does not allow me to rotate the plot on all three axis. The cloud() function in the lattice package does allow me to do so. When I was using scatterplot3d I was using a script (Shown Below) to calculate the mean, quartiles and range limits for all three axis and I was representing that on the

Hello List! I asked this before (with no solution), but maybe this time... I'm trying to project a surface to the XY under a 3d cloud using lattice. I can project contour lines following the code for fig 13.7 in Deepayan Sarkar's "Lattice, Multivariate Data Visualization with R", but it fails when I try to "color them in" using panel.levelplot. ?utilities.3d says there

I can't find a way to change just the panel background color in lattice. I would like NA regions in levelplot() to appear black. I've tried the trellis.par.set() stuff, but it it makes the background of the whole graphic black. Thanks, Scott Waichler Pacific Northwest National Laboratory scott.waichler _at _ pnl.gov

How can I get the value of the aspect ratio that is used in a lattice plot? In a levelplot for instance, the native units per cm of my x and y axes are different, and I need to know the aspect ratio so that I can correctly plot vectors. I know how to set the aspect in a high-level lattice function but I can't quite figure out how to get it. I would like call to levelplot() without printing

If I have a contourplot (in the lattice package) and I want to add straight lines to it, how do I do this? I see that there are llines() and lsegement() functions for lattice plots, but they don't seem to do anything in this case: library(lattice) library(KernSmooth) x=rnorm(10000) y=x+rnorm(x,0,.5) a=bkde2D(cbind(x,y),.7) z=as.vector(a$fhat) grid=expand.grid(x=a$x1,y=a$x2) grid$z=z

Dear r-help, I need to draw xyplot() graphs with several regression lines: one line for the whole range of x (the variable on the horizontal axis) and two additional lines for subranges of x. Is it possible to make first regression line (panel.lmline(x,y,...);) to be drawn on the whole graph and regression lines of the subsets to be drawn only over their subsets? I have defined

Hi, The solution to my problem is to use 'lsegments' instead of 'segments' within lattice commands. (Although I wont forget again, a comment in the segments help file referring to 'lsegments' might help others not to make the same mistake in the future.) My thanks to Renaud Lancelot. Regards, John. John Gavin <john.gavin at ubsw.com>, Quantitative Risk Models

Dear R-helpers, I have a function that adds some segments to the current plot, but if I the current plot is made with any of the lattice functions (in my case, levelplot), I should use lsegments rather than segments. How can I tell if the current device was made with plot() or e.g. levelplot() or another lattice function? dev.cur() does not help me, it just tells me "windows 2".

I have been using the sp package to deal with gridded data. I would like to know how to extract the vertices (x,y) of polygons that outline areas of like-valued cells in a grid. Here is a simple 3x3 grid: 2 2 1 1 2 1 1 1 3 x <- c(1,1,1,2,2,2,3,3,3) # define a 3 x 3 array of points y <- c(1,2,3,1,2,3,1,2,3) h <- SpatialPoints(cbind(x,y)) # make these an sp object of the points

Hi There are new versions of the grid and lattice packages on CRAN: grid 0.2 and lattice 0.3-0 These packages are still _under development_ (they are in CRAN/src/contrib/Devel) There have been some bug fixes and, especially in lattice, there are lots of new features. Descriptions of the changes are included below. If you have any grid code, it may break under the new version because of a

Hi There are new versions of the grid and lattice packages on CRAN: grid 0.2 and lattice 0.3-0 These packages are still _under development_ (they are in CRAN/src/contrib/Devel) There have been some bug fixes and, especially in lattice, there are lots of new features. Descriptions of the changes are included below. If you have any grid code, it may break under the new version because of a

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 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