similar to: large files produced from image plots?

hello everyone, I was wondering if anybody can help me solve 2 problems related to the function filled.contour. I am entering the following R command: filled.contour(xx,yy,P1, nlevels=20,color=cm.colors, plot.axes={ contour(xx,yy,P1,add=T,col="grey", nlevels=20, drawlabels=F) axis(1,1:length(xx),labels=xlabels)

Greetings all! I'm wanting to plot contours of a function, and I don't want to evaluate it at a dense grid of points (i.e. I don't want a huge array of values). Say I have a vector of x-values such as x <- 0.1*c(1:10), and the same for y <- 0.1*(0:10). I then evaluate a 10*10 matrix z of values of z = f(x,y). so I can then do CL <- contourLines(x,y,z) and get a list of

Hi R-Help, I would like to make filled contour maps of ocean data overlaid by costlines from the map package. I can draw the filled contours and the coastlines om the same plot, but the filled contour also covers part of the land. To get rid of that I tried to draw a filled coastline map on top of the filled contour, but the filled map only draws the closed contours - so most of the land is

I'm trying to make a set of contour plots of bivariate kernel density estimates, showing three such plots overlaid, similar to this plot http://euclid.psych.yorku.ca/SCS/Private/Test/ridge-boot2.pdf except that I would like to have the contours *filled* (using transparent colors). To make this reproducible, I've saved the results of KernSmooth::bkde2D() in the following file:

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

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

Hello, I'm a grad. student in statistics and am looking for some information on how R draws its contours. I suspect you are using a Bezier spline. I have the C code but am curious about how it works. Riley A. Metzger University of Waterloo Waterloo, Ontario, N2L 3G1 (519) 888-4567 Ext. 3715 rileymetzger at alumni.uwaterloo.ca

I am using contour to draw contour lines onto a photo (jpeg) of a leaf on a white background. I have two problems: 1) The contour gets plotted at right angles to the jpeg image. I guess this is a problem of referencing the start and end points of the image matrix but I can't see how to over come this other than loading in a second image that has been rotated 90 degrees and plotting the

I have a contour plot where the surface can take on positive and negative values. I would like to use solid contour lines for positive values and dotted contour lines for negative values. I saw a plot like this produced by S-Plus before. Is there a way to do this with R? If not, can anyone suggest a way to make interpretation of the contour plot easier? (Right now, it is not clear if a set of

Hi, Is there a way to make the filled.contour() function produce a plot similar to the image() function? i.e. not have smooth contours but rather distinct "squares" corresponding to the different cells of the matrix. The reason I ask is because since image doesn't have an option to display colour bars it is a lot less useful. Cheers Muri Soares Department of Maths and Applied

Hi! Windows Applications seem to run fine uder wine, but for any MSDOS-Application FILE, I get the following error: wine: can't exec 'FILE': invalid exe file Protocol error: process 0x806a100: partial recvmsg 0 for fd This happens regardless of winver/dosver (wine is called by 'wine --winver winxyz --dosver x.yz FILE'). What am I doing wrong? Do I need to start some kind of

Hi, one of the nice things about contour is that it labels all contour lines. contourplot only labels each particular elevation a single time. i.e., if there are two contour lines corresponding to z = 45, it will only label one of them. is there a way to get contourplot to automatically label all the contour lines, even those that are repeated? i ask because i want to plot contour plots *w/

Dear all, I wonder about what could actually be possible with the function "contour": 1/ - the definition of contour lines is most often meaningless when the contours are drawn in areas where no real data points exist. It can however happen that irregular distributions lead to more or less irregular clouds of data points. Interpolations (eg: loess regression, GLM, etc...) are however

Hi, Please see the attached contour plot (I am sorry about the big file). This was created using the vis.gam() function in "mgcv" package. However, my question is somewhat broader. In generating this figure, I first created the contours using vis.gam() and then I plotted the points. These point are plotted on top of the contours so that some of the contour lines are only partially

First time user, so sorry if I don't understand protocol.. Anyway, I have created a data frame consisting of pearson's R values at various x and y coordinates and then plotted this using filled.contour. My data is similar to fMRI data except that it is a surface map reconstructed from histological sections. I like the results but would like to know how contours were detected. Google search

Hi all, I have been looking for means of add a contour around some points in a scatterplot as a means of representing the center of density for of the data. I'm imagining something like a 95% confidence estimate drawn around the data. So far I have found some code for drawing polygons around the data. These look nice, but in some cases the polygons are strongly influenced by outlying points.

Hi Folks, I have been using contour() to produce some contour plots (of a spatially-smooted density produced by kde2d()), with very satisfactory results. I now want access to the coordinates of the points on the contours, and it would seem that contour() does not return a value, so there is nothing from which these could be extracted. However, apparently contourLines() does, and it seems to be

Dear, I am trying to plot contours (with filled.contour function) inside UK area, so that no contours are plotted over the sea. I was wondering if anyone can help me with this task and if I can get any suggestions how to do that. Thank you, Irina Irina Foss Environmental Research Institute North Highland College UHI Millennium Institute Castle Street Thurso, Caithness Scotland KW14 7JD United

I am searching for a utility in R which will determine the mean location of a closed contour and eventually record the location in an ASCII file. By means of the contour utility in R, I am able to produce an image of a contour, but I am seeking a procedure which will produce the coordinates of the center of mass of the contour. From my actual set of data, the contour utility will produce several

Hi there, I have two data sets, one of locations at different elevations (x,y,z) and the other of points that make up topographic contours (also x,y,z). I have used: result<-apply(distppll(data2,cbind(topocon[-nrow(topocon),],topocon[-1,])),1,min) where 'data2' are my measurement coordinates (x, y) and 'topocon' are my topographic contours (x,y). While this gives me an output