similar to: Multivariate kernel density estimation

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

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

Hello: I have been using sm.binomial() in the Bowman and Azzalini's sm package to smooth and plot estimated probabilities as a function of a covariate. I am concerned about my choice of bandwidth, and I was hoping there was another method available in some other package, perhaps with an automatic choice of smoothing parameter. Does anyone know of one? Thanks in advance. Tom Richards

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

I don't find rbind, cbind or other bind that bind in other dimesions for multidimension array while keeping the result of the same dimension. For example, say, dim(x)=c(2,3,4), dim(y)=c(3,3,4). I want to have the result z, where dim(z)=c(2+3,3,4), when I bind x and y in the first dimenion. The bind can also be in the 2nd and 3rd dimesion. Could somebody let me know if this family of

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/

Hi, I've tried installing a language learning program in Wine, but can't get it to work. Actually, it's a pretty old program, designed to run in Windows 3.1 or 95 (!), so I thought it would be OK - it seems to install OK, but won't run - the diagnostics are below - any ideas please? Andy [andrew@Atlas2 andrew]$ wine "c:\spanish_tg\setup.exe"

Hi, I found that the R package "KernSmooth" can deal with only 1D and 2D data. But now I have a collection of 4-dimensional data (x1,x2,x3,x4) and would like to estimate the "mode" of the underlying density. What can I do about it ? Thanks a lot. -- Ying-Chao Hung Assistant Professor Graduate Institute of Statistics National Central University Chung-Li, Taiwan TEL:

I''m using Prototype.js with Control.modal to create a modal window on my IPB Forum which takes all the various topic posting/replying/ editing options and places them into a Modal window. The inherent nature of this action is to take the contents of whatever DIV I told Control.Modal to make a modal window out of and place the entire innerHTML of that DIV into a separate DIV outside the

Hi, is there any way to execute scripts in R (Windows) without the script being copied to the console, so that only error messages are reported? Or to have a second console in parallel? Please. Not being able to hit the F10 button like in S-Plus seriously impairs my productivity (not only because it is slow and clutters my console history). And totally unrelated: Is there any chance that R

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

I've been trying to run locfit on data with 6 inputs and 1 output in R. Whenever I make a prediction for the same exact data that the model was built on though, I get significant discrepancies between the fitted outputs of the prediction and the actual data. I have scaled the inputs, tweaked the alpha parameter, and played around with a lot of the other variables as well. Is their some kind

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

I'm sorry if this question has been answered several times in the past. I have used Search option and I have not found any reference, and I have not yet found in your bugzilla. My problem appears in all Wine versions tested (until 1.1.1). When my application (I develops a Delphi Win32 application that runs perfectly in Wine) raises a Modal Form or Modal Message (using API MessageBox for

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

I am using ffmpeg to post video to my site in a modal. When I post I have a second pop up window opening where the video should be uploaded and processed while showing a progress bar. This enables my users to continue using the site while the video is processed and they will receive a notification when its done. The files and parameters are not being transferred from the modal to the second

Sorry to be a pest, but what is this telling me, and is there way to fix it? fixme:dialog:MSGBOX_OnInit system modal msgbox ! Not modal yet. Thanks again.