similar to: estimating a density by selecting the bandwidth

Hello!!! I'm just a beginner of R. I work with locfit to get the density from an numeric vector. It looks good when I plot the graph, but I need the output data of locfit. For example I need somthing like that (only integer values for the input): numeric vector (input of locfit) density (output of locfit) 1 0.05.... 2 0.04.. 3 0.01 ... Thank you for your help and your time.

Hello there, I am presently using the locfit package in "R" and would appreciate some help here. Could anyone tell me tell me how I can obtain the various components (x and y values)of the density estimation after using the "R" command "locfit"? For example, with the command "fhat<-density(somename)" I can obtain the x and y values by simply calling

Is there a command in R that make the same regression like l1fit in S-plus? -- bertola at fastmail.fm --

Hi, I've used the Mathematica to produce 3D graphics, contour plots of a bivariate normal distribution Now I want make these graphics in R, but i do not know how. I would like to: - Plot a 3D graph for some different variance matrix - Plot the contour plots - Find and try to plot (in the 3d graph ou contour plot) the (1-a)% confidence region based in a chi-square(a) with the degrees of

Hallo I am trying to use the package LocFit to follow the example given in an Introductory note of C Loader concerning density estimation. It involves the "geyser" dataset (107 observations on durations, inlc in the package). I have tried the following (using the latest version of R): fit.of <- locfit(~geyser,flim=c(1,6),alpha=c(0.15,0.9)) plot(fit.of,get.data=T,mpv=200) This

I have spatial data in 2 dimensions - say (x,y). The correlation between x and y is fairly substantial. My goal is to use a non-parametric approach to estimate the multivariate density describing the spatial locations. Ultimately, I would like to use this estimated density to determine the area associated with a 95% probability contour for the data. Given the strong correlation between x and

Hi, Are there some texts about time series that teatches it with R? And site 'bout time series "for dummies" , can anyone indicate them for me? thanks a lot Rafael Bertola Undergraduate in Statistics at UNICAMP - Brasil -------------------------------------------------- --------------------------------------------------

Dear R-users, I intend to do a spatial analysis on the genetic structuring within a population. For this I had thought to prepare a kernel density estimate map showing the spatial distribution of individuals, while incorporating the genetic distances among individuals. I have a dataset of locations of N unique individuals (XY-coordinates) and an NxN matrix with the genetic distances given as a

Hi all, Do any packages implement density estimation in a modelling framework? I want to be able to do something like: dmodel <- density(~ a + b, data = mydata) predict(dmodel, newdata) This isn't how sm or KernSmooth or base density estimation works. Are there other packages that do density estimation? Or is there some reason that this is a bad idea. Hadley -- http://had.co.nz/

I'm looking for data to use with nonparametrics exploration technics. I'm a undergraduate student in statistics at the Unicamp (Brazil), and i've to make a project (with orientation of a professor). I choose nonparametrics statistics to make the project. But in this project i must have to use a databank and present analisys. So, if somebody give me indications where i can find

hi all, i am getting a lot of neighbour table overflow in my syslog file... we use slavkware8.1 with kernel2.4.19 squid2.5s1 iptables1.2.7a & iproite-ss020116.. there are two providers & this box has 5 ethernet and i havent seen it handle going less that 2.5mb traffic even at off peak hours !.. the kernel was _NOT_ configured with arp daemon support.. Dec 7 09:11:32 ICG last message

I got this offlist from someone on the list. This is abuse and should be punished. This didn't anwser my post and was directed to me off-list without invitation. All it was was a promotion. -----Forwarded Message----- From: Dave St John <groups@mediacast1.com> To: drew@drewb.com Subject: Icecast2 and ices Date: 22 Aug 2003 19:22:17 -0600 Hello Drew, saw your post on the xiph list

Hello!! At first thank you all for your suggestions and your help. But I would like to get another group of datas from the density estimation. I don't know if these information are provided by locfit or I should use an other function like plot(). Description: Each number between 1 and 100 (only integer) for example should have only one density value. But I also would like to have the density

Hello, I am a newbie to R and the subject of density estimation in two dimensions or more. I would like to have some advice concerning a comparison between the R packages for density estimation in bivariate or higher order problems; I mean explicitly the packages: 1) ash 2) KernSmooth 3) locfit 4) sm. My specific problem now is having a set of numerical pairs (x_i, y_i), arising from a

Hi, I am getting below error on mailgw. it has 2 ethernets. eth0 is connected to internet, while eth1 is connected to LAN where there are about 300 PCs. Mar 12 09:14:00 gateway kernel: NET: 697 messages suppressed. Mar 12 09:14:00 gateway kernel: Neighbour table overflow. Mar 12 09:14:05 gateway kernel: NET: 660 messages suppressed. Mar 12 09:14:05 gateway kernel: Neighbour table overflow. Mar

Hi, I need to estimate the density at the mean of a sample of a few thousands data points with a dimesion up to 5. The data is uni-modal and regularly shaped. I couldn't find any kernel density package for R which supports more than 3 dimensions. Have I overlooked a package or does somebody have code for this purpose? Any other advice? Regards, Stephan

I am trying to reproduce Figure 10.5 of Loader's book: Local Regression and Likelihood. The code provided in the book does not seem to work. I have managed (a while ago) to get the accompanied R-code for the figures in the book (file called lffigs.R) from somewhere - cannot find it on the web anymore. The code in the .R script file does not work either. Could anybody please direct me in

On Mon, 2003-08-25 at 17:04, W. Kevin Pedigo wrote: > But if your problem is serving more bandwidth than you've got, you gotta > serve less (narrower or fewer streams) or get more bandwidth. It's that > simple. Tell us what you want to do about it, and we'll try to help. OK. I've gotten everything running with one problem. I'd like to downsample a live stream.

On Mon, 2003-08-25 at 14:10, Dave St John wrote: > Sorry for trying to help. You tried to sell me a solution, not assist me in working out my own. I don't think that's what this list was intended for. I and most others would shy away from a list where this type of abuse is tolerated. As it is, the traffic is eerily quiet. Next thing you'd know, only you would be left. >

I am trying to carry out density estimation for three dimensions (with anywhere between a few hundred and ~8000 data points). Which leads me to ask: a) is there any equivalent to kde2d (in MASS) or bkde2D (in KernSmooth) out there for three dimensions? b) if not, my skills only seem to extend as far as writing a function which measures density as the number of data points falling within a