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 <-