similar to: Is there a function for scatter3d with Categorical responses?

Hi, I am using the scatter3d function in Rcmdr to plot the first 3 principal components, I have a grouping variable of 2 groups, and tried to plot points with different colors, somehow I couldn't change the default colors of the 2 groups (blue and green)by using option points.col=c('red','blue'), what's the problem here? scatter3d(all.pca$x[,2],all.pca$x[,3],all.pca$x[,1],

Hello All, I am a R newbie and am probably misinterpreting something really obvious... In the Rcmdr package there is a scatter3d() function that can fit a curve and also provide coefficients for the model. If I'm understanding this right, I think it's calling the lower level stats package function lm(), which is the part that actually does the curve fitting. Anyway, what has me

Hi folks, I'd like to use scatter3d (which is in R commander) to plot more than one dataset in the same graph, each dataset with a different color. The kind of stuff you would do with "holdon" in Matlab. I read a recent message that was posted to this list with a similar problem, but I couldn't understand the reply. Could someone give me one example? How do you plot subgroups

Hi, I have three years of species presence/absence data for a set of ~100 ponds, with a list of associated habitat characteristics (park, vegetation, hydroperiod, etc.). The datasets differ slightly by year because some ponds were dry in some years and not in others. My goal is to look at habitat associations for a couple focal species. For each year, I have a data table that looks like

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

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

Dear R users, I'm currently visualizing my data using scatter3d from the "Rcmdr" package. I have data points which can be separated in two classes. Data points from class 'A' should be colourised red and data points in class 'B' should be colourised 'blue'. No matter what I try, the data points are always blue. I attached a (very) minimal example to

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

In my assets I have intranet |_1.css.scss |_2.css.scss internet |_1.css.csss application.css application_internet.css application_intranet.css 1.css.scss 2.css.scss 3.css.scss intranet and internet are directories. In my layout I want to exclude the files under internet and intranet. I have created application_internet.css /* * application-internet.css * *= require_self *=

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 = ...

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

Hello, If you're interested in authoring your presentations/slide shows in Markdown, you might check out the Slide Show (S9) gem in Ruby. A simple slide show looks like: What's Slide Show (S9)? ======================= A Free Web Alternative to PowerPoint and KeyNote in Ruby Getting Started in 1-2-3 Easy Steps =================================== * Step

Hi all, How do I visualize a contour of a tri-variate normal distribution? I just like to see the ellipsoid very much. I hope there is a easy way or existing method in R. Thank you a lot! Michael. [[alternative HTML version deleted]]

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

I'm generating several scatter3d visualizations of vegetation community distribution against a number parameters using the scatter3d function car package, The visualizations are fantastic and they provide great support for the analysis. As far as I can determine, scatter3d does not save the output of the routine as an object so I can not x <- scatter3d(MADep2010 ~ Day7Max2010 +

Forwarded from Adrian Raftery: -----Original Message----- From: Adrian Raftery [mailto:raftery at stat.washington.edu] Sent: Tuesday, October 22, 2002 10:15 AM To: Warnes, Gregory R Subject: Re: FW: [R] Mixture Transition Distribution (MTD) time series model in R or S ? Thanks, Greg. Current MTD software is reviewed in Andr? Berchtold and Adrian E. Raftery "The Mixture Transition

Robust Covariance Estimation Software via Nearest Neighbor Variance Estimation (NNVE) Software to carry out robust covariance estimation by Nearest Neighbor Variance Estimation (NNVE) [Wang and Raftery (2002, J. Amer. Statist. Ass.)] is now available for R and Splus. In the simulation studies published in JASA, this had mean squared error at least 100 times smaller than that of other leading

Robust Covariance Estimation Software via Nearest Neighbor Variance Estimation (NNVE) Software to carry out robust covariance estimation by Nearest Neighbor Variance Estimation (NNVE) [Wang and Raftery (2002, J. Amer. Statist. Ass.)] is now available for R and Splus. In the simulation studies published in JASA, this had mean squared error at least 100 times smaller than that of other leading

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

Greetings, R-help! On 2 Fedora Core 2 Linux systems, i've completely erased the previous R and all packages and then installed R-2.0 and installed fresh packages. In using Rcmdr, I see some trouble and I wonder if other people see this and if it is due to the tcl/tk, or R, or Rcmdr. (If readers have not yet tried Rcmdr, I recommend it not just because of the GUI it provides, but also