similar to: help with bivariate density plot question

Hi all I'm trying to create a three-dimensional wireframe-type plot, much like the screenshot shown at http://www.r-project.org/screenshots/volcano-persp.jpg In my case, I'm trying to show a density estimate of two-variable system, using the GenKern package. I've used the image() and contour() to create a nice shaded plot, but I've found a 3d plot is often easier for the

Hi Spencer, I have seen your name on the web site, and perhaps you can help me with my R problem. I'm trying to use KernSur to put in evidence a substructure in a bidimensional plot. My problem is that, in order to get the density in the low density areas (in which the substructure is located) I should use different bandwidths. How I can do that? Also, I think that the best choice for my

https://bugzilla.mindrot.org/show_bug.cgi?id=1681 Summary: conversation function for passwd auth method assumes instead of fail Product: Portable OpenSSH Version: 5.3p1 Platform: All OS/Version: All Status: NEW Severity: major Priority: P2 Component: PAM support AssignedTo:

Dear all, I would like to ask your advice about a suitable computer for the following usage. I (am starting to) work with moderately big data in R: - cca 2 - 20 million rows * 100 - 1000 columns (market basket data) - mainly clustering, classification trees, association analysis (e.g. libraries rpart, cba, proxy, party) Can you recommend a sufficient computer for this volume? I am routinely

Is there code for bivariate kernel density estimation? For bivariate kernels there is kde2d in MASS kde2d.g in GRASS KernSur in GenKern (list probably incomplete) but none of them seems to accept a weight parameter (like density does since R 2.2.0) -- Erich Neuwirth, University of Vienna Faculty of Computer Science Computer Supported Didactics Working Group Visit our SunSITE at

Can somebody please take a look at this and tell me whats going wrong? It seems to be parsing wronly around the 'if' statement and gives me a directory listing. Thanks in advance Tom N.B. datan is an invented dataset xvals<-c(1,0.4,0.2) datan<-data.frame(s1=c(3,4,5),s2=c(5,5,5),s3=c(21,55,34),s4=c(5,3,2)) datan$sint<-NA datan$sgrad<-NA for(icount in 1:dim(datan)[1]) {

Dear Sir/Madam; Would you please tell me what is the command that allows the estimation of the Kernel Density for some data. Thanks, Thami Rachidi [[alternative HTML version deleted]]

I am having trouble getting smooth-appearing curves in figures produced as windows metafiles using R (R-1.1.1 on Windows 98). When I import them into a word processor (either MS Word 97, or WordPerfect 9.0), the figures appear only slightly bumpy on screen, but when printed, there is a clear jaggedness reminiscent of aliasing. Is there a fix for this (if the answer is "upgrade to 1.2",

Hej, Calling newuoa (from the minqa package) makes R crash when the package rgl is loaded first. This however only on certain selected data. The data used for testing (saved to 'bugs.R'): xvals = c(1,2,4,5,7,8,9,10,11,12,14,15,16,18,19,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36) yvals =

That's what I was afraid of. Some users are trying to set up vacation message with inline picture. I am aware it's not ideal but in some cases it's needed. It would be nice if this configuration option works in the future. Regards, Zdenek On 8/19/20 5:01 PM, Stephan Bosch wrote: > > > Op 19-8-2020 om 13:47 schreef Zden?k Z?me?n?k: >> I am in troubles with compiling

Dear List, I'm using interp() to prepare 3d data for plotting with the contour() function. If have x,y and z data. All are arrays. X and Y are sampled in an orderly fashion on a grid (a circular sub-area of a grid - see plot). I'm trying to use interp() to get x and y arrays and a z matrix that can be fed to contour(). This is the command:

Hi, when I am runnig on samba PDC command: net rpc group add "demo" -Uroot%password , samba returns this message: NT_STATUS _ACCESS_DENIED. What is it? Where shall I set access rights? Thanks Zdenek ____________________________________________________________ http://www.seznam.cz - e-mailov? schr?nka 2000 MB

Dear all, I have a question that is probably pretty stupid, so apologies in advance... I do a simple > mydata.tab <- by(my.data.frame, my.data.frame$category, colMeans) ...works fine, but I need to output the results to some "flat" file (kind of table) to work with it in Excel etc. So I am doing now > capture.output(data.frame(unlist(mydata.tab)),

Hello list, I just started R today and tried something quite simple. I wanted to create a colored plot and eventually after hours of fiddling around got it working. However, my solution seems very suboptimal and I'd really appreciate your hints on how to improve. I believe that R already offers many functions I coded (e.g. distance between two vectors, vector length, vector normalization and

Dear R-list, I'm iterating several calls to plotCI [gplots], like so: plotCI( x = xvals.f[sorted], y = yvals.f[sorted], xlim = c(xmin, xmax), ylim = c(ymin, ymax), pch = plot_symbols[graph_idx], type = "b", lty = plot_linetypes[1], col = plot_colors[graph_idx], barcol = plot_colors[graph_idx], uiw = NA, xlab = "", ylab = "", add =

Dear all I'm a newbie regarding netcdf data. Today I realized that I maybe do not understand some basics of the netcdf. I want to create a *.nc file containing three variables for Switzerland. All data outside of the country are NAs. The third variable is calculated from the first two variables. Basically there is no problem to do that. I copy the file with the data of the first variable,

Hello, Using this data: http://n4.nabble.com/file/n1676330/US_Final_Values.txt US_Final_Values.txt and the following code i got the image at the end of this message: US.final.values<-read.table("c:/tmp/US_Final_Values.txt",header=T,sep=" ") US.nls.1<-nls(US.final.values$ECe~a*US.final.values$WTD^b+c,data=US.final.values,start=list(a=2.75,b=-0.95,c=0.731),trace=TRUE)

I am in troubles with compiling sieve scripts larger than 1MB. I see in logs following errors: Aug 19 13:10:26 mail dovecot: lmtp(z.z at xxx.xxx)<22117><uNBGHKIIPV9lVgAA5ldI4A>: Error: sieve: autoreply: line 16818: quoted string started at line 3 is too long (longer than 1048576 bytes) Aug 19 13:10:26 mail dovecot: lmtp(z.z at xxx.xxx)<22117><uNBGHKIIPV9lVgAA5ldI4A>:

On Mon, Aug 14, 2017 at 5:29 AM, <raphael.felber at agroscope.admin.ch> wrote: Dear all > > I'm a newbie regarding netcdf data. Today I realized that I maybe do not > understand some basics of the netcdf. I want to create a *.nc file > containing three variables for Switzerland. All data outside of the country > are NAs. The third variable is calculated from the first two

Hello, I am having a bit of trouble with scatterplot3d(). I was able to plot a 3d cloud of points using the following code: >my.3dplot<-scatterplot3d(my.coords, pch=19, zlim=c(0,1), scale.y=0.5, angle=30, box=FALSE) where my.coords is a data frame that contains x, y, and z coordinates for grid points whose elevation we sampled. The problem occurs when I try to add points using points3d.