search for: djmrgl

Displaying 10 results from an estimated 10 matches for "djmrgl".

2008 Aug 26
1
plot3d origin
Hi all, I am trying to do a 3d plot where the x,y,z axes intersects with the origin (0,0,0) using the plot3d() funtion in the rgl package without success. I looked back at the past archives on this subject and someone suggested using djmrgl package. I searched and found it, installed it but when I try to load it I get the error ... Error in inDL(x, as.logical(local), as.logical(now), ...) : unable to load shared library 'C:/PROGRA~1/R/R-27~1.0/library/djmrgl/libs/djmrgl.dll': LoadLibrary failure: The specified procedure...
2007 Feb 08
0
DRMRGL
I have tried to install the drmrgl package and receive the following error: > library(djmrgl) Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library 'D:/PROGRA~1/R/library/djmrgl/libs/djmrgl. dll': LoadLibrary failure: The specified procedure could not be found. Error in library(djmrgl) : .First.lib failed for 'djmrgl' When I...
2005 Mar 08
1
3D plot not working as desired!
Hello R-users! I am trying to plot 3 vectors (x,y,z) of observations generated by mvrnorm in library(MASS). I tried plot3d in library(djmrgl) and scatterplot3d. But these program gives x,y,z axis which do not intersect at the origin (0,0,0). I searched through all the graphics related packages for R like xgobi, ggobi, grid and more. Quite confusing which one to choose. Would anyone recommend any way to plot the 3-dimensional randoml...
2005 Sep 09
1
Plotting an ellipse in 3D
...e car package and the covariance matrix to draw an ellipse around a group of points to show the confidence limits. However, the points are actually represented by 3 variables so rather than plot each pairwise combination of variables in 2D I would like to plot the 'ellipse' in 3D using the djmrgl package. Can anyone offer advice on how I can plot the surface of a 3D 'ellipse' using the covariance matrix to define the shape, so that the points inside can also be seen. Thanks Mike White
2003 Sep 20
4
persp graphs
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
2003 May 19
2
R doesn't support 3D histograms?
Hi, I've been using R since a while now to make 2D histograms. I have some data (appended) that would like to use to make a 3-D plot with x being the first variable in the file, y the second and the height, or z the third variable. How can I do it in R? I would like to have 3-D visualization of this plot. Preferably as a lego plot, that is, a set of stacks that grow with respect to the
2003 May 02
1
stepfuns: R^2 -> R
Does anyone have any suggestions on perspective plotting of piecewise constant functions? Ideally, I would like something like plot.stepfun for functions that are piecewise constant on polygons. Even pointers to non-R strategies would be welcome at this stage. url: www.econ.uiuc.edu Roger Koenker Dept. of Economics UCL, email rkoenker at uiuc.edu Department of Economics Drayton House, vox:
2005 May 25
1
plot 3D
Is it possible to do a graphic in 3D? This is my source: but this one is on 2D and at moment variables put on other variables, so it is difiicult to differentiate them visibly. plot(corresp(data,nf=2),xlim=c(-1,1),ylim=c(-1,1)); Thanks Sabine --------------------------------- ils, photos et vidéos ! [[alternative HTML version deleted]]
2003 Jul 21
1
help on barplot
Hello, I am trying to compare two histograms using barplot. the idea is to plot the histograms as pairs of columns side by side for each x value. I was able to do it using barplot before but I can't remember now for the life of me now how I did it in the past: > d [,1] [,2] -37.5 0.0000000000 2.789396e-05 -32.5 0.0001394700 5.578801e-05 -27.5 0.0019804742
2003 Sep 19
4
3D plotting in R
A student is trying to cluster some data. Tree-building things seem to be pretty hopeless (we've tried most of the ones in R, I think). Multi-dimensional scaling produces somewhat tantalising results: things do clump together somewhat, but the clusters overlap a lot. I was wondering if these was an artefact of squeezing it down to 2D, and whether 3D might be better. So loc <-