similar to: surface plot

Hello, I have created a Fitness surface (persp()), with data that was created by a tp spline procedure. Now I would like to superimpose a set (XYZ) of existing points (from two different treatments) onto this surface. I didn't come across any function or command that is able to do this in R. Could somebody please help me in finding a solution to this problem Thank you Peter --

Hello, I created a 3d surface (persp) with some points overlaid on it, which is fine. Now I have a second set of z-values(x,y-values same as the first surface), which I would like to make visible on the same graph, however, not as a surface, but rather as coloured contour on the first surface, so that the resulting graph will consist of the original surface having the colour of the second

Hi, I would like to plot a matrix which comprises 3 columns. So first column should be the x-axis. Second the y-axis and the third one should be the z-axis. I know that I can plot such data using the scatterplot3d, but I would like to have a surface plot like you can do with wireframe and persp. But both, persp and wireframe, want to have x and y as descending data, at least persp. I am not sure

Hello Dear, I have a function, like z=f(x,y), and try a surface plot with this function. But, on the reference of "wireframe" requires data option, so I generated x and y, and computed z with them. But, still I have a problem to draw a surface plot. The code and errors are ################################################## mle_beta0=64.43707; mle_beta1=-24365.16; # generating for

I have what is probably a noob question, but.... I am trying to create a 3d plot to illustrate the range of values for the following simple function: A = B*(C/D) B, C, and D are independent variables whose range are equal (e.g. 1 to 3 inclusive) I figure it's not possible to map the surface of A on the 3d space defined by B, C and D but I would like to create a surface defined by the

Hi. I'm a student at Simon Fraser University in British Columbia, Canada. I can't for the life of me figure out how to plot a 3D surface (A 3D response surface to be more specific) in R. I found your email address on a web board, and saw someone mention wireframe(), but using the help in R yielded no results. Any suggestions? Thanks. Dean Vrecko

Hello, Is it possible to draw level lines on the surface of a bivariate function? In the following example, to draw surface and levels lines for a multivariate normal law, I use persp, trans3d, contourLines and lines, but if the lines are correctly drawn, some parts of them are, of course, visible even if they are drawn on a non visible "face". Any suggestion to avoid this problem

I have the following data table: [,1] [,2] [,3] [,4] [,5] [1,] 2575 1927 1754 581 354 [2,] 1156 810 730 541 237 [3,] 417 297 199 125 110 [4,] 281 132 132 47 58 [5,] 152 84 87 54 19 Each column represents a time interval expressed in nano-seconds Each row represents an energy interval expressed m=n MeV Each table value represents the average gamma rays intensity

Hi, I'd like to (1) plot a perspective view of a 3D scatterplot, with a fitted (curved) surface; (2) have a "stick" from each point vertically to the surface. The latter helps one visualize where a point lies in 3D, relative to the surface. Is there a variant of the cloud function (lattice package) which might do this? As far as I can tell, the cloud function will

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 list! I have a problem with the function 'persp'. I have a data set with the variables X -> The X coordenate of the insect Y -> The Y coordenate of the insect deep-> how deep the insect buried into the soil. I would like to have a plot with a surface simulating the way the insect buried. Is it possible? If I type persp(x,y,deep) R gives me this error message Error in

Hi Im working on my master thesis, I need to get a plot currents distributed over a surface. I have the data listed in a dataframe with the x coordinates, y coordinates and the value. Im using the persp function but I’ve not found out how to put the data into the z1 variable es <-read.table("RDatalog_pass_dev_1_wafers_1_8V.txt",header=T,sep="\t") x1 <-

Hi Does R have a function or has someone written a function to draw a 3d surface from a scatter plot of values using either ksmooth or locpoly. OR a transform function a that merges x relation z and y relation z to (x,y) relation z? I tried out scatterplot3d but it seems it would take a bit of work to get scatterplot3d to draw a curved surface. Lawrence

Dear All, I want to create a surface plot from the data. My data set is consists of x, y and z data. I plotted in very easy way by Excel worksheet as shown in the attached picture. I did some steps in R, but I cannot have the same plot as in Excel worksheet's figure. the R code is x <- c(-1,-0.75,-0.5,-0.25,0,0.25,0.5,0.75,1) y<- c(-1,-0.75,-0.5,-0.25,0,0.25,0.5,0.75,1) z<-

Dear R users, I have a problem in plotting 3 dimensional graph using mixed models. My model is sur_prop ~ afr_c+I(afr_c^2)+I(afr_c^3)+byear_c+I(byear_c^2)+I(byear_c^3)+I(byear_c^4)+(1|Studyparish)+afr_c:byear_c +afr_c:I(byear_c^2)+afr_c:I(byear_c^3)+afr_c:I(byear_c^4)+I(afr_c^2):byear_c+I(afr_c^2):I(byear_c^2)+I(afr_c^2):I(byear_c^3)+I(afr_c^2):I(byear_c^4) This is a study on the effect of

What package/code could I use to create a 3-d surface graph of the predicted values over two of the explanatory variables' coefficients? Jim James Bang Department of Economics University of Illinois Well I AM missing the back of my head.you COULD cut me a little slack! -Homer Simpson

Dear list members, I want to draw surfaces of Dirichlet distributions with different parameter settings. My code is the following: #<begin code> a1 <- a2 <- a3 <- 2 #a2 <- .5 #a3 <- .5 x1 <- x2 <- seq(0.01, .99, by=.01) f <- function(x1, x2){ term1 <- gamma(a1+a2+a3)/(gamma(a1)*gamma(a2)*gamma(a3)) term2 <- x1^(a1-1)*x2^(a2-1)*(1-x1-x2)^(a3-1)

Hello, I would like to plot two superposed surfaces (original data, and smoothed models). Basically, I would like to create a usual persp plot with box, and then superpose a second surface (without box and axes) on the top plane of the box defined by the first graph. I don't know if it is clear :-( Is it possible to draw such a second surface in an existing persp plot in R? Another (related)

Dear helplist members, I have been using 'wireframe()' to make 3d plots using the following call: wireframe (temp ~ xc2 * mc2, screen = list(z = 230, x = -70, y = 0), scales = list (arrows = FALSE)) and these three vectors: xc2 mc2 temp [1,] 0.1 0.04 0.049797615 [2,] 0.2 0.04 0.049161159 [3,] 0.3 0.04 0.048006702 [4,] 0.4 0.04 0.046208311 [5,] 0.5 0.04

Hi all, I have following problem : a = b = seq(1, 50000, by=500) v = matrix(0, nrow=length(a), ncol=length(a)) for (i in 1:length(a)) { for (j in 1:length(a)) { d = c(17989*a[i], -18109*b[j]) v[i,j] = t(d) %*% matrix(c(0.0001741, 0.0001280, 0.0001280, 0.0002570), nrow=2) %*% d } } library("rgl") open3d()