similar to: 4D stacked column chart, Excel -> R

Hi all, I'm trying to get a vertical line at a specific point in a densityplot. abline seems to be what's required, but it doesn't align itself to the scale used in the plot. example: library(lattice) x<-rnorm(100) plot.new() densityplot(x) abline(v=0) ----- The line seems to use some other coordinate system. What kind of call do I use to make abline use the graph's

I have what I hope is a simple question - is it possible to do time series analysis on a small data set specifically only four data points? I have collected human threat data (mean number of threats per kilometre walked/ survey) every 3 months in eight different sites (four with an experimental element and four control sites). I am trying to determine the best way to determine if there is a

I have 3 row data in the format as x,y,time I want to draw it as a 3d picture;x as x axis, y as y axis, the xy's density as z axis, the corresponding time as color. I have read the manual of R and failed, Since kde2d and bkde2d give grid data, this grid data cannot match its original time. Could anyone do me a favor? thanks.

Hello, Is it possible to interface R with 4D? Thank you very much for a fast answer. D. LEFLOCH eMail : ah@2set2.fr [[alternative HTML version deleted]]

Hi, I'm trying to install 4D V11 on wine with RHEL6 (wine version 1.2.2) and I'm finding same problem as in bz http://bugs.winehq.org/show_bug.cgi?id=21845 and previous thread http://www.winehq.org/pipermail/wine-users/2010-February/068672.html. I know some people has been working on that. Have you find any workaround for that. Best regards, amoralej

Has anyone been able to get Maxon Cinema 4D 6 working with wine? I'm running Mandrake 8, and I have been trying to get it running my linux box with no luck Thanks, Linova X

Has anyone been able to get Maxon Cinema 4D 6 working with wine? I'm running Mandrake 8, and I have been trying to get it running my linux box with no luck Thanks, Linova X -----= Posted via Newsfeeds.Com, Uncensored Usenet News =----- http://www.newsfeeds.com - The #1 Newsgroup Service in the World! -----== Over 80,000 Newsgroups - 16 Different Servers! =-----

I have data on a regular grid in the format: x y z data. I would like to be able to plot them in 3d kind of like a volume or a mesh with colors. Is that possible in R and how? Thanks [[alternative HTML version deleted]]

Hello, I need some help with a 4D-Plot. Here is my code: Lab.palette <- colorRampPalette(c("blue","turquoise","green","yellow","orange","red","violet"),space = "Lab") par(las=3,omi=c(0.8,0.1,0.1,0.1)) filled.contour(x,log10(y),log10(z=daten),col=Lab.palette(27),zlim =

has anyone go cinema 4d to work under wine

The interval between having to clear out the git caches has become ridiculously short. I''m going to arrange to keep the logs for less long. We need, however, to have more space for logs. I will try to organise this. We also need an approach to git caching that is less wasteful of space. If anyone fancies writing a competent caching proxy for git, please get in touch. Failing that

Hello list, Thanks in advance for whatever help you can give me. I have a data set that I want to visualize that has four important dimensions (x,y,z,t). What I would like to be able to do is plot the three spatial coordinates using, say, scatterplot3d (or similar), and have the color of the plotted points be determined by the time coordinate. I've tried using scatterplot3d to do this, but

Hello, I have the following problem. After a PACS upgrade in our hospital, the dynamic 3D images acquired after contrast media injection with a 3T Philips MRI are all saved in a single 4D file instead of a series of 2D images containing multiple 3D images over time. I used to convert this series of 2D dicom images in the format nfti with oro.dicom. However, I am no longer able to make oro.dicom

Dear list, I wish to visualise some 4D data as a kind of colour / translucent cloud in 3D. I haven't seen such plots in R (but perhaps I missed a feature of rgl). The easiest option I found would be to export the data in povray's df3 (density file) format and visualise it with povray. The format specification baffles me a little, http://www.povray.org/documentation/view/3.6.1/374/ ;

Hi, I have a 4D data file from MATLAB, call it X, that I want to analyze in R. The first 3 dimensions are x y z coordinates and the forth is a value in time. If you took a sample vector in matlab it would look like vec1 = X(x1, y1, z1, :) vec2 = X( x2, y2, z2, :) this would give you all values (I have 300 of them) corresponding to this (x1,y1,z1) point of X. Now I read the MATLAB datafile 4D

Tried to post this last night, but it doesn't seem to have appeared. Using R 2.0.1 on Windows XP + SP2. I am traveling, away from my usual references. I'm trying to make a 4-dimensional plot: a levelplot with overlaid contours, with different response variables represented by (1) colors on the levelplot and (2) the contour lines. First try was filled.contour + contour but the key

I am trying to multiply a 3D array of 4x4x4 by the 4 3D arrays of a 4D array with dimensions 4x4x4x4 (the last dimension being the one that I want to split by). (4x4x4 array) > hiaAry , , a1 i1 i2 i3 i4 h1 9.5936098 6.001040 0.08772 0.3138600 h2 1.2003500 1.454570 2.79248 0.0000000 h3 0.1346500 0.201220 0.39256 0.5464000 h4 0.0109000 0.012270 0.16417 0.2766900 ,

Hi. At my office were try to run 4DClient with wine. It's look working with the last developement version and using winetricks to install the riched20 pakage. We run 4D Client by, wine 4DClient.exe and we have this log: Code: fixme:win:WINNLSEnableIME hUnknown1 0x1003a bUnknown2 1: stub! fixme:imm:ImmGetOpenStatus (0x15bca8): semi-stub

Hello, I would lunch 4D Client 2004 with wine on a Kubuntu 7.10, but when I lunch it, i have an error : Code: fixme:win:User32InitializeImmEntryTable (0x19650412): stub ALSA lib seq_hw.c:457:(snd_seq_hw_open) open /dev/snd/seq failed: No such file or directory fixme:win:User32InitializeImmEntryTable (0x19650412): stub fixme:win:WINNLSEnableIME hUnknown1 0x10026 bUnknown2 1: stub!

Dear list, I'm having trouble to see how my elements on a 4 dimensional array are listed. For example, I generated the following array: junk.melt=melt(occ.data,id.var=c("Especie", "Site", "Rep", "Año"), measure.var="Pres") y=cast(junk.melt, Site ~ Rep ~ Especie ~ Año) Now, I want to be able to look at how my species (Especie) are listed, in