similar to: Plotting a 3D surface

Dear Sir, Madam, or to whom this may concern, my name is Jan Failenschmid and I am a Ph.D. student at Tilburg University. For my project I have been looking into different types of kernel regression estimators and corresponding R functions. While comparing different functions I noticed that stats::ksmooth returned different estimates for the same bandwidth as other kernel regression estimators

Apologies in advance if my comments don't help, in which case, no need to respond, but I noted in ?ksmooth: "bandwidth the bandwidth. The kernels are scaled so that their quartiles (viewed as probability densities) are at ? 0.25*bandwidth." So, could this be a source of the discrepancies you cited? Given that ?ksmooth explicitly says: "Note: This function was implemented for

hello, I wish to create some 3d scatter diagrams visualising different grouped data set by a given field in the database. I tried the scatterplot3d package, as well as the plot3d and scatter3d functions (both within the rgl resp. Rcmdr package). My first question is, whether is it possibe to group data in the scatterplot3d and plot3d, because I did not succeed to use the groups = ...

DeaR list, I'm trying to represent some information via 3D plots. My data and session info are at the end of this message. So far, I have tried scatterplot3d (scatterplot3d), persp3d (rgl), persp (graphics) and scatter3d (Rmcdr) but any of them gave me what I'd like to have as final result (please see [1] for a similar 3D plot changing PF by ypred, pdn by h4 and pup by h11). In general

hi, i am need to plot two or more sets of data in a 3d scatterplot, each set with different color. i tried Rcmdr, and the 3d scatterplot facility, based on rgl. that is what i need. but i cannot seem to code different sets of data differently. any help will be very helpful. i tried scatterplot3d, but it is difficult to get the right angle in it. i need to be able to rotate the axes, and

I've used the scatterplot3d function to graph some data and had it graph a "smooth" fit. Is there a way to actualy find out the function of the surface? I've looked through the help and figured out how to get it to report the following: Family: gaussian Link function: identity Formula: y ~ s(x, z) Parametric coefficients: Estimate Std. Error t value Pr(>|t|)

Hello Everyone, I am new to R and need some help. I have a matrix of x,y,z coordinates that I would like to interactively plot in 3D and then using the cursor select points on the plot and have the coordinates sent to a matrix. I am using the rgl package to plot the data at the moment because it allows me to rotate and zoom. I also tried cloud and scatterplot3D. I am looking for a function like

Hi, I have been trying to output my graphs to a file (jpeg, pdf, ps, it doesnt matter) but i cant seem to be able to get it to output. I tried a few things but none of them worked and am lost as what to do now. I am using the scatter3d function, and it prints out the graphs on tot he screen without any problems, but when it comes to writing them to a file i cant make it work. Is there any

This graph -> http://www.math.hope.edu/~tanis/dallas/images/disth36.gif is an example I found at http://www.math.hope.edu/~tanis/dallas/disth1.html created by Maple. Does anybody know how to create something similar in R? I have a feeling it could be possible using scatterplot3d (perhaps with type=h, the fourth example in help('scatterplot3d')?), but I cannot figure it out. Thanks in

Hi all, I have a data frame called "rst", see below: ------------------------------------------------------------------------------------------ # This is a paste able example # In case you don't have "KernSmooth" package installed, please uncomment below line. # install.packages("KernSmooth") library(KernSmooth) rst <- data.frame(hsp = rnorm(23), dal =

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, I?ve been trying to find an option to scatter3D from rcmdr to remove the individual points from the plots but to no help so far. Removing the residuals is easy, but I cannot find a similar point option. Is there such an option that can be set to FALSE? Best, //M

I am curious if there is code developed to plot confidence regions in 3D. The scatterplot3d function generates the plot I want, but would like an 3D equivalent to the data.ellipse function. Any help in this direction would be appreciated, be it theoretical, graphical, or otherwise. Melanie Edwards Senior Statistician Exponent 15375 SE 30th PL, Suite 250 Bellevue, WA 98007 Tel: (425) 519-8714

Dear List, I don't get scatter3d to color the sheres according to the '|' argument. library(car) scatter3d(prestige ~ income + education|type, data=Prestige) The spheres on my screen are all colored the same and they are not conditional on Prestige$type. On the other hand: Fit3d and Ellipse3d are colored according to the group argument. rgl_0.92.879 car_2.0-12 R version 2.15.0

I would like to plot points in 3D and then be able to rotate the plot in real time in order to understand the distribution of the points using the visual parallax that results from the rotation. The R-package scatterplot3d will plot in 3D, but I've not found a way to rotate the results in real time. (It also does not seem to get the projection from 3D to a viewing plane right.) The R-package

Dear R-experts, my goal is to visualize the following polynomial regression as a 3D-surface: Z = b0 + b1*X + b2*Y + b3*XY + b4*X^2 + b5*Y^2 I believe that a solution to this problem may be of interest to a wider range of scientists because the problem is a derivative of a more general problem, i.e.: how to describe the relationship between one dependent variable and the DIFFERENCE between two

is there a way of estimating derivative curves, similar to the ones we get from 'locpoly', from 'loess' estimation. i am interested in estimation of 1st and 2nd derivatives... --------------------------------- [[alternate HTML version deleted]]

Hallo! ? I just want to make a 3D plot of a surface of a cone and want to plot some single points around. ? I tried wireframe but cannot find how to plot single points ? I tried scatterplot3d but there the surface is not simple to plot. And: How can I rotate the point of view by the z-axis ? I tried persp3d but how can I add some single points? ? Example: ? library(lattice) library(scatterplot3d)

Dear R Users, When using locpoly function, number of output values is smaller than the number of input values. How is it possible to get number of output component $y equal to the number of inputs. Thanks a lot, Amir --------------------------------- [[alternative HTML version deleted]]

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