similar to: Alternatives to image(...) and filled.contour(...) for 2-D filled Plots

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

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

In order to gain a bit more control over the fill contour functionality I'm trying to use the Internal filledcontour function. I wasn't able any documentation on this function and only one reference to it. I believe the code shown below is close because all the dimensions seem to be correct, but I'm still getting a "dimension mismatch" error and the filled contour

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