similar to: Alternative to interp.surface() offered

Hi, I'm trying to install rimage on a Mac OS X 10.4 machine. I followed the advice in previous R-help threads and got over the hurdles of having the header files in the right places, among other things. But I can't figure out what to do with this error. ice.pnl.gov:/home/waichler<949>system_profiler -detailLevel mini SPSoftwareDataType Software: System Software Overview:

Hi, I'm looking for ideas or packages with relevant algorithms for calculating the connectivity across a grid, where connectivity is defined as the minimum amount of cross-sectional area along a continuous path. The upper boundary of the cross-sectional area is a fixed elevation, and the lower boundary is a gridded surface of variable elevation. My variable elevation surface represents the

R version: 2.001 OS: Windows XP SP2 When I use the interp.surface() function, on occasion I have encountered the following error message: Error in interp.surface(a, loc) : subscript out of bounds Since it is somewhat dependent on the data set, I cannot say exactly in which cases these occur, but I believe I have found the problem and a solution for it: The scaling calculations in the code,

I would like to make a ranking operation more efficient if possible. The goal is to rank a set of points representing objective function values such that points which are "dominated" by no others have rank 1, those which are dominated by one other point have rank 2, etc. In the example with two dimensions below, objective functions 1 and 2 are to be minimized. Points a-e are

Karline, Thank you for your help. I discovered that in addition to including clim, I needed to omit breaks. This code uses one of your other examples as a starting point and works as intended: persp3D(z = volcano, zlim = c(-60, 200), phi = 20, colkey = list(length = 0.2, width = 0.4, shift = 0.15, cex.axis = 0.8, cex.clab = 0.85), lighting = TRUE, lphi = 90, clab =

Hi, [I'mm cc-ing r-help on this, since some others might be interested (Tony Rossini is, at least)] Yes, I saw your mail and was wondering about what would be the best approach to do it. It's definitely not trivial, mainly because Trellis is not designed to handle factors on the x-axis (chiefly for convenience, as factors typically have long names which are difficult to write on the

I can't get Emacs to automatically do syntax highlighting of Sweave files. I have followed Friedrich's suggestion for code to insert into my .emacs file. The complete section from my .emacs file is given below. When I load a *.Snw file, font is white until I press M-x, then the first code and document chunks get highlighted, but not the rest of the file. Latex and Noweb menus are

How can I access examples of trellis graphs in R? I'm especially interested in getting code for xyplot() examples. Failing a collection of examples in R, I see that under Splus there are numerous example.*() functions. I can access Splus with a command line but can't open a graphics window, so I can't to execute the example.*() functions. Is there a way I could get the associated

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

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 would like to use a map or aerial photo as a background to plotting solid lines and text, and semi-transparent color contours, in base and lattice graphics. Plot coordinates need to be consistent with the georeferenced background. For example, a color contour plot would have an gray-toned aerial photograph as a background for overprinted semi-transparent color contours of some spatially

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

I have a script containing an xyplot() to print to a postscript file, followed by dev.off(). When I source the script, the dev.off() seems to cut off the xyplot() execution before it is finished. The resulting postscript file has about the right size, but it appears blank when I try to view it. If I manually execute the xyplot(), then wait for the return of the R prompt before executing

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

Thanks to Ross Ihaka and Bob Wheeler for responding to my earlier question. I looked into the Johnson system functions in SuppDists package. For now, I want to stick with the density(...) estimator, and so still need the variate lookup function. As per Ross' suggestion, I just did a numerical integration on the density object and used approxfun/splinefun to "lookup" the variate

I installed R-2.1.0 from source on a Linux box running Red Hat Enterprise Linux WS release 4 but install.packages() wouldn't work (see below). When I install R-2.0.1 from RPM on the same system, everything is fine. Version 2.1.0 (2005-04-18), ISBN 3-900051-07-0 . . . > options(CRAN = "http://cran.fhcrc.org/") > install.packages("rgenoud") --- Please select a CRAN

I am looking for examples of how to plot with contour3d() to a PNG or PDF file, add axes and other elements to the isosurface plot, and use contour3d in conjunction with lattice. Regarding lattice, I'm not necessarily looking for conditioning on the data shown in the isosurface plots, just a way to show multiple plots in one figure and label them. I am new to the packages misc3d and rgl.

I am trying to process text fields scanned in from a csv file that is output from the Windows database program FileMakerPro. The characters onscreen look like regular text, but R does not like their underlying binary form. For example, one of text fields contains a name and a number, but R recognizes the number as something other than what it appears to be in plain text. The character string

Hello, After getting help to solve part of my problem and some delay on my part, I am posting a more refined version to see if someone can help me further. I am trying to autocalibrate a model in my subject area using the snow and rgenoud packages. I want to use the key function "fn" that is called by genoud() to finalize input, run the model executable, and compute the objective

I'm trying to understand how to use kpss.test() properly. If I have a level stationary series like rnorm() in the help page, shouldn't I get a small p-value with the null hypothesis set to "Trend"? The (condensed) output from kpss.test() for the two possible null hypotheses is given below. I don't see any significant difference between these results. > x <-