similar to: 3D plotting in R

I have found XLispStat's spinning plots illuminating. I'd like to do the same thing in R. A dozen or so probes with help, help.search, apropos haven't turned up anything, and I've even resorted to grepping through the entire R source distribution looking for 'spin.*plot', to no avail. Either the feature is called something else in R (what?), or it's in some other

I've rolled up R-1.6.2.tgz a short while ago. This is a minor upgrade, fixing an assortment of bugs. You can get it from the developer site at http://cvs.r-project.org/pub/CRAN/src/base/R-1.6.2.tgz or wait for it to be mirrored at a CRAN site near you. Binaries for various platforms will appear in due course. There is also a version split for floppies, but due to the inclusion of

I've rolled up R-1.6.2.tgz a short while ago. This is a minor upgrade, fixing an assortment of bugs. You can get it from the developer site at http://cvs.r-project.org/pub/CRAN/src/base/R-1.6.2.tgz or wait for it to be mirrored at a CRAN site near you. Binaries for various platforms will appear in due course. There is also a version split for floppies, but due to the inclusion of

Hi, I am doing my way on R, with much experimenting. So, I am trying to plot a 3d graphic ussing "persp" and entering a data set (attached) of UTM coordinates as x,y and a pH values as z. However when I try an error message comes out telling that increasing x and y values are expected. Jus ordering the first vector does not help, and, of course, order the first two independently

Hello, I have a data set on which I run the sammon algorithm as follows: library(MASS) data = read.table('problemforr.dat') y = cmdscale(data, add=TRUE) s = sammon(data, y$points) (In case it should be relevant, I make the data available at http://idi.ntnu.no/~edsberg/problemforr.dat) With R 2.2.1 on Debian Sid I always get one of two solutions (stress 1.74288 after 10 iterations or

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.

Hello. I was wondering how one can find the exact values of the range of an axis within a plot. In xlispstat it was (send plot :range 0). Thanks much, Jason

I have a problem with a 3d plot, suppose we have a matrix like this: v1 v2 v3 v4 jan-2010 0.5 0.25 0.25 0.3 feb-2010 0.35 0.12 0.12 0.4 mar-2010 0.15 0.25 0.25 0.1 and i want to plot this matrix in 3d plot where x-axis is the first column of the matrix above, y - axis is the first row of the matrix above and the z-axis is

It is a trivial matter to adjust the linewidth of the axes and plot line in a 2D plot: x <- 1:10; y <- 1:10; par(lwd=2); # axis (and others) linewidth plot(x,y,"l",lwd=6); # plot linewidth Is there anything comparable to this for persp or wireframe? I've tried a number of ways, and the framebox/axes seem to be linked to the linewidth used in generating the

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

Hello everybody, I have an Ascii-grid (100x100m) with population density over Switzerland (local coordinations system, CH LV03). Now I would like to have a nice graphic to present the data. I would like to make a plot that will show the density as the z-variable and raise for example a stacking pillar showing how high the density is in that hectare. I attached a map that's similar to what I

Apologies in advance for the question. I am trying to draw a map of the US as a surface plot so that I would be able to drop bars on the different states (something like Uwe Ligges' scatterplot3d example 4). I am not sure where to start looking for such a beast. If anyone has any pointers, ideas, I will be grateful. TIA, Partha

Dear List: I have a question regarding an MDS procedure that I am accustomed to using. I have searched around the archives a bit and the help doc and still need a little assistance. The package isoMDS is what I need to perform the non-metric scaling, but I am working with similarity matrices, not dissimilarities. The question may end up being resolved simply. Here is a bit of substantive

In applying multidimensional scaling, it seems to me that sometimes the underlying dimensionality of the matrix is 1. However I found a case where cmdscale failed when I tried k=1. Here it is: m<-matrix( c(.5,.81,.23,.47,.61, .19,.5,.06,.17,.28, .77,.94,.5,.74,.85, .53,.83,.26,.5,.64, .39,.72,.15,.36,.5), nrow=5) # BTW I think cmdscale uses only the lower triangle--how to enter only # that

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

I have drawed a picture with persp, it's 3d map with different color, indicate different altitude. In gnuplot, the corresponding command 'splot' will generate a picture beside to indicate the relationship between color and altitude. But in R, how to draw it? I have read the manual of legend, but they are all about how to draw a legend with colored text, not a continuous varing color

Dear R users, I was trying to install the package RXLisp by Duncan Temple Lang on a MDK 9.1 Linux machine running R 1.8.0 installed from a RPM. Unfortunately I had a problem loading the shared library into R. Since I'm a Linux newbie I was not able to solve the problem. Maybe some of you can help me. First of all I downloaded the source archive for Xlisp-Stat and for the RXlisp package.

I'm looking for someone to explain the difference between these procedures. The function prcomp() does principal components anaylsis, and the function cmdscale() does classical multi-dimensional scaling (also called principal coordinates analysis). My confusion stems from the fact that they give very similar results: my.d <- matrix(rnorm(50), ncol=5) rownames(my.d) <-

Sorry, I did not make my question clear. Since I have a point theme with many points, some of them may clump together. the problems here are: 1. how to find clumps in a point theme? 2. the convex-hull extension I found only deal with all the points in a theme at each time? how to make each convex hull around each point clump automatically? Thanks. Xiaohua On 5/12/06, Bob Booth <bbooth

Hi We have a few questions regarding the use of the "isoMDS" function. When we run "isoMDS" function using 60,000 x 60,000 data matrix, we get the following error message: ------------------------------------ cmdscale(d, k) : invalid value of 'n' Calls: isoMDS -> cmdscale ------------------------------------ We checked the source code of "cmdscale" and