similar to: plotting a marginal distribution on the plane behind a persp() plot

Dear All I am kind of stuck up with a code a part of which seems to be causing a problem, or at least I think so. May be the community can help me. It’s simple but I suppose I am missing something. I generate a data matrix X, say of order n*p, where n represents independent row-vectors and p correlated col vectors. Let the row representation be X = (X’_1, . . ., X’_n)’. I generate the

Hi, I try to fit a non linear regression by minimising the sum of the sum of squares. The model is number[2]-(x/number[1])^number[3] Number [2] and number [1] change as the data changes but for all the set of data number[3] must be identical. I have 3 set of data (x1,y1), (x2,y2), (x3,y3). x_a<-c(0,0.5,1,1.5,2,3,4,6) y_a<-c(5.4,5,4.84,4.3,4,2,1.56,1.3)

Hi, I'm unable to find a way to smooth data for a persp() graph. Example, suppose that I have data x,y,z like this: x <- 1:10 y <- 1:10 k <- 20 z <- outer(x, y, "*") + matrix( k*runif(100, -1, 1), 10, 10) persp(x, y, z, theta = 35, phi = 25) The graph is not very nice. Is there a way to smooth the z data so that at the end the graph would look more like something

Hi, I guess I have a naive question. I use kde2d function in a standard way to estimate kernel densities of x and y (x and y are vectors) and plot them using image(). f1=kde2d(x,y) image(f1) But what if I want to see kernel estimates of three variables, x, y and z (a vector) plotted together ? Something in which x<->y is plotted and colored according to the corresponding value of z ?

Hi all, I've got two persp plots with Identical X and Y's, and I'd like to plot them on the same graph, so that it is obvious where one plot is above the other. I can't find any mention of this anywhere. Do I need to use wireframe? Any help is appreciated. Thanks, -- Ian Bentley M.Sc. Candidate Queen's University Kingston, Ontario [[alternative HTML version deleted]]

Hi all I have a question about correct usage of persp(). I have a simple neural net-based XOR example, as follows: library(nnet) xor.data <- data.frame(cbind(expand.grid(c(0,1),c(0,1)), c(0,1,1,0))) names(xor.data) <- c("x","y","o") xor.nn <- nnet(o ~ x + y, data=xor.data, linout=FALSE, size=1) # Create an (x.y) surface and predict over all points d <-

Hello, I am trying to plot selected data points to a preexisting persp plot that satisfies a condition. I used the following statement - text(coords[,1], coords[,2], names(act[which(act > 8.75)]), cex=0.7) But I get all the points labeled, instead of the points that satisfy the condition specified. Is there any way to plot only the points I want? Also can this be done using

Hi, I am trying to specify four ticks (at 0,1,2,3 for the y axis) in a persp plot but the defaults overrule my specification and I obtain seven of them. Is it possible to gain full control over them in such a plot? Here is my code: matlines=matrix(c(1:7,3:9,3:9,2:8),nrow=7,ncol=4)

Dear Devels, I'm not sure if I'm going the right way by mailing to this list. I have two suggestions regarding the persp function from the graphics package: 1. In the documentation of the persp function, it is said, that the "col" argument will ignore transparent colors. However, this is not true, if you use strings as color code - at least it works with HEX-code (eg. :

Dear R Community: Recently, I have managed to plot some really useful graphs of my research data using persp(). I have even figured out how to overplot rectangular regions (corresponding to submatrices) with a different color. This is accomplished by using par(new=T). I am now searching for a way to "highlight" a set of (possibly non-contiguous) facets with a specific color,

I have been making simple functions to display regressions in a new package called "rockchalk". For 3d illustrations, my functions use persp, and I've grown to like working with it. As an example of the kind of things I like to do, you might consult my lecture on multicollinearity, which is by far the most detailed illustration I've prepared.

Dear all; Does anyone know how to add grid lines to a persp plot? I've tried using lines(trans3d..) but the lines of course are superimposed into the actual 3d surface and what I need is something like the plot shown in the following link: http://thermal.gg.utah.edu/tutorials/matlab/matlab_tutorial.html I'll appreciate any ideas Thanks PM

Hello I'm trying to render in 3D what I usually plot by image(), or image.plot() from the library fields, followed by a map("world",add=TRUE) type of command. More concretely, I have a field of temperature values, for a given geographic area, and I would like to plot a 3D surface whose x and y axes consist of longitude and latitude values and whose height and color-coding correspond

Dear all, I would like to put two perspective plots into one plot. The help page for ?persp shows how one can add points and lines but not another perspective plot. data(volcano) z <- 2 * volcano # Exaggerate the relief x <- 10 * (1:nrow(z)) # 10 meter spacing (S to N) y <- 10 * (1:ncol(z)) # 10 meter spacing (E to W) ## Don't draw the grid lines : border = NA persp(x,

Dear R-users, I would like to place two 3D plots side-by-side in a rgl-setting. It would nice to have something like "par(mfrow=c(1,2))" for basic plots, or an array framework for wireframe(lattice) (see example below). I only managed to overlap two persp3d plots. My final idea would be to animate both surfaces using play3d(rgl). Thanks in advance for any help. Best, Carlo Giovanni

Dear R-users, is it possible to add a second plane to the persp()-plot? I couldn't find any hint on that in the news archive... I'm using R.1.4.1 for Windows. Thanks in advance, Nina -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Dear R-users, is it possible to add a second plane to the persp()-plot? I couldn't find any hint on that in the news archive... I'm using R.1.4.1 for Windows. Thanks in advance, Nina -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Hi all, I'm fairly new to R, so I'm still trying to feel out what is available to me. I would like to be able to plot joint density in a two dimensional plot where density is indicated by color or darkness gradients, like a 2d color coded topographic map. Ideally, the output would be something I could then plot other points or lines on. Currently, I'm calculating joint density with

Hello, say I have a 2D-matrix (indexed by x and y), which contains z values, which I want to plot over x-y. Either dotted, or if possible as a landscape. I tried around with persp and plot3d (from rgl) and persp3d (from rgl). I sometimes get something that looks good and a while later, when trying some new data I need to worry about that again. Is there something lika a convenience function

Thank you for your replies so far. Sorry for bothering you again, but I'm still not able to get what I need as I don't understand all parts of the replies (just using R for easy things....). Is there a code for plane3d() like some of you sent me for points3d()? I was not able to get that out of the scatterplot3d package... What I can do is to get the x,y and z-range for the xlim,ylim and