similar to: Problems using Internal filledcontour: "dimension mismatch"

By any chance are there any alternatives to image(...) and filled.contour(...) I used Rseek to search for that very topic, but didn't turn over any leads... http://www.rseek.org/?cx=010923144343702598753%3Aboaz1reyxd4&newwindow=1&q=alternative+to+image+and+filled.contour&sa=Search&cof=FORID%3A11&siteurl=www.rseek.org%252F#1238 I'm sure there are some out there, but

By any chance is it possible to "add" filled.contour(...) to an existing plot like you can do using image(..., add = TRUE). I looked at the filed.contour(...) and levelplot(...) documentation, but it didn't seem to be possible. I would like to add filled.plot(...) as shown below instead of using the image(...). Filled.contour seems to provide the smoothing interpolation

Is it possible to plot unevenly spaced data with image/contour function? Below is an example of the type uneven data that I'm trying to plot with image/contour functions. For example, I would like to have the x-distance on the x-axis and y-distance on the y-axis and then the temperature values determine the color used. Unfortunately this data was sampled such that it is not evenly

In the following example I would like to have the color transition from Red->yellow->green in the image(...) function, and if possible have the yellow be set to correspond with the mean value (for the below 75). ? I was able to figure something like out when using filled.contour(...), e.g. filled.contour(ak.fan, levels = c(70, 73, 76,?80, 90), color = terrain.colors) (I still

Hi Louis, It's simple to run a r script from the excel spreadsheet. Just write your code, source("C:\\Quantil Aplicativos\\Genercauca\\BackwardSelectionNC.r"), into a cell of a workingsheet. Then right-click the cell and select "run code" in the pop-up menu. Hope this will help you. Best, Bernard -----????----- ???: r-help-bounces at r-project.org [mailto:r-help-bounces

Hi everyone, I hope this question is beyond "read the manual". My task is simple, just to plot the following, but the plot in the middle should be a filled.contour plot: http://gallery.r-enthusiasts.com/graph/Scatterplot_with_marginal_histograms_78 Background: I prefer filled.contour rather than hist2d. Because, I could use kernel smooth, so the plot for discrete data won't be too

Quick question - I am having problems creating an orographic image (similar to volcano example). I have created a map matrix with 3 columns and over 2million rows. I have created the matrix as follows: map<-read.table("map.dat",header=TRUE) long.grid<-sort(unique(map$long) lat.grid<-sort(unique(map$lat) map.matrix<-matrix(map$height,nrow=length(lat.grid),byrow=TRUE) The

Greetings I am currently using R to produce contour plots of a given variable via "contour", together with a hacked* version of filled.contour to shade several regions of the plot. As the regions overlap, I am using colors with alpha-channel values of ~0.1 together with the pdf device (version="1.4"). The transparency works well. However, a white grid is superimposed over

hello - a question about filled.contour plots, for which i haven't found a response in previous posts - sorry if already treated. i'd like to draw several filled.contour plots (that is, maps) on the same device (a postscript file, actually). I know about layout(matrix) , split.screen or par(mfrow) : it works well for simple plots, but with filled.contour plots, i get several pages

Dear all, I can't figure out a way to have more than one plot using filled.contour() in a single plate. I tried to use layout() or par(), but the way filled.contour() is written seems to override those commands. Any suggestions would be really appreciated. Jonathan [[alternative HTML version deleted]]

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

Here is another, perhaps trivial, plotting question. I am making a filled contour plot and have almost everything dialed in the way I want it. The last hurdle (that I can foresee) is adjusting the look of the key. I'm plotting the 25%, 50%, 75%, and 95% quantiles and I want the key to be evenly spaced, e.g., the width of the 25% and the 95% should look the same on the key. They are labeled

The following plot is a first approximation to what I need: *********************************** mu1 <- 0 mu2 <- 5 s <- 1 x <- seq(-2.5, 7.5, length = 41) y <- seq(-2.5, 2.5, length = 41) f <- function(x,y){ term1 <- 1/(2*pi*sqrt(s*s)) term2 <- -1/2 term3 <- (x - mu1)^2/s term4 <- (y - mu1)^2/s term5 <- (x - mu2)^2/s term1*(.5 * exp(term2*(term3 + term4)) + .5 *