similar to: Coloured 3d surface

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 --

Hi, Is there a way to plot more than one trend surface using the functions contourplot() and wireframe(). I have found an add=T in contour(), but no equivalent argument in contourplot() and wireframe()? I have taken the example 11-2 (pages 441-451) from Design and analysis of experiments (Montgomery 2001, 5th edition) to see if this could be done in R. I have managed to plot individual

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:

After "image" and "persp" would it be interesting to als have contour as a generic function? Cheers Paulo Justiniano Ribeiro Jr Dept Maths & Stats - Fylde College Lancaster University Lancaster LA1 4YF - U.K. e-mail: Paulo.Ribeiro@est.ufpr.br http://www.maths.lancs.ac.uk/~ribeiro -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-

> From: Martin Maechler <maechler at stat.math.ethz.ch> > To: royle at bearmtn-e0.cgd.ucar.edu > CC: lgygax at access.unizh.ch, r-help at stat.math.ethz.ch > Subject: contour labelling [was "Re: [R] image ()"] > Mime-Version: 1.0 (generated by tm-edit 7.106) > > >>>>> "Jeffrey" == Jeffrey A Royle <royle at bearmtn-e0.cgd.ucar.edu>

OK, I needed to plot a set of vectors on top of a contour plot. I figured out a way to do this. I create a panel function that calls "larrows()" with arguments constructed from my vector data. Then, when I go to do the contour plot, I call contourplot() with the "panel" argument set to point to my newly created panel function. So far, so good. Now, I need to do a

Greetings, All! I want to draw contour lines in red, using contour(), but also have the contour labels (for the level-values) in black so that they will stand out against a coloured background already generated using filled.contour() (the background shades from green at low levels of "risk" to red at high levels). In any case, contour labels in red are already somewhat inconspicuous

Tried to post this last night, but it doesn't seem to have appeared. Using R 2.0.1 on Windows XP + SP2. I am traveling, away from my usual references. I'm trying to make a 4-dimensional plot: a levelplot with overlaid contours, with different response variables represented by (1) colors on the levelplot and (2) the contour lines. First try was filled.contour + contour but the key

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'm a scheme and C user generally, I'm a bit wary of the large FORTRAN content of the R language but aside from that issue it seems nice and simple and easy to use. What I want to do is find some GPL software to replace gnuplot, and since R does all the calculating stuff that gnuplot does (probably R is faster though I haven't tested) plus R has quite decent plotting capabilities I

Hi, I draw a surface corresponding to bivariate density of independent variables (rho=0) using persp(). Then I add a contour line (i.e., circle in my case) at a particular density. Below is a minimal example of what I have so far. # Bivariate density dnorm2d <- function(x, y, rho = 0) { xoy = (x^2 - 2 * rho * x * y + y^2)/(2 * (1 - rho^2)) density = exp(-xoy)/(2 * pi * sqrt(1 - rho^2))

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 *

Hi all I'm trying to create a three-dimensional wireframe-type plot, much like the screenshot shown at http://www.r-project.org/screenshots/volcano-persp.jpg In my case, I'm trying to show a density estimate of two-variable system, using the GenKern package. I've used the image() and contour() to create a nice shaded plot, but I've found a 3d plot is often easier for the

Hello folks, i'm a R beginner and i want to put in a same plot both contour lines and persp plot. For example, fn<-function(x,y){sin(x)+2*y} #this looks like a corrugated tin roof x<-seq(from=1,to=100,by=1) #generates a list of x values to sample y<-seq(from=1,to=100,by=1) #generates a list of y values to sample z<-outer(x,y,FUN=fn) #applies the funct. across the combos of x

I have this data set that both x & y are ordered vectors of length 600 & 700 respectively; z is a 600 by 700 matrix whose entry z[i,j] is either a missing value (indicated by 'NaN') or a real number between 0 and 1. The contour function contour(x,y,z) gives me a blank picture. I guess the reason is that most of z-entries are missing, only less than 1% are non missing.

Hi, I'm new to R (and math ;) Would somebody please be so kind as to direct me in plotting a 3D sphere? I tried something in the lines of: #### y <- x <- seq(-pi, pi, length=pi*10) f <- function(x,y) { z <- sqrt(pi - x^2 - y^2) #z[is.na(z)] <- 0 z } z <- outer(x, y, f) persp(x, y, z, theta = 120, phi = 30) #### I've also tried: .... make.surface.grid(...) ..

R-sters: I'm interested in keeping data plotted in persp to preserve the wireframe look, I'd just like to change one of the lines drawn (in either the x or y direction) into a different color so that it stands out. Or is there some way to add a line (say, via lines(), or abline()) to a persp() plot at the designated x or y that would follow the z surface contour? I could add a line

I've been thinking of adding the possibility of including "z" among the axes to be logged in image, contour, and persp. In the first two, it would only affect where the breaks were set if they are calculated automatically; it would have a bigger effect in persp. For example, image(x, y, z, log="z") would set 12 colours evenly spaced on a log scale of the z values.

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