similar to: density estimation in two dimensions

Hi there I am new to R and would like to ask some questions which might not make perfect sense. Anyhow, here they are: 1) I would like very much to use R for processing some big data files (around 1.7 or more GB) for spatial analysis, wavelets, and power spectra estimation; is this possible with R? Within IDL, such a big data set seems to be tractable... 2) I have heard/read that R

Hi there Sorry for what may be a naive or dumb question. I have the following data: > x <- c(1,2,3,4) # predictor vector > y <- c(2,4,6,8) # response vector. Notice that it is an exact, perfect straight line through the origin and slope equal to 2 > error <- c(0.3,0.3,0.3,0.3) # I have (equal) ``errors'', for instance, in the measured responses Of course the

Dear r-sig'ers I use Debian sid (amd64). I downloaded the most recent version of rstudio .deb from their official site and issued: dpkg -i rstudio-0.99.902-amd64.deb to no avail: dpkg: dependency problems prevent configuration of rstudio: rstudio depends on libgstreamer0.10-0; however: Package libgstreamer0.10-0 is not installed. rstudio depends on libgstreamer-plugins-base0.10-0;

Hi folks I am a complete beginner with R. I have been able to install it under Windows 95 on my PC. I use to use it, as a GUI, from a shortcut icon on my Desktop workspace. I am very much in need of using some packages for density estimation from a two-dimensional data set of simulated points. I need to build the corresponding continuous or smoothed probability density function, and

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

Hi there, I would like to try the newest version of R (1.3.1), under my Red Hat Linux 7.2, which uses the library readline 4.2. In some page of CRAN and in the corresponding rpm package, it is stated, when trying to install R, that the readline 4.1 is necessary... Shouldn't the newer readline 4.2 be completely compatible with the present version of R (1.3.1)? Will I have any problems if I

Hi, I've estimated a simple kernel density of a univariate variable with density(), but after I would like to find out the CDF at specific values. How can I do it? thanks for your help, with it I am very close to finish my first little bit more serious work in R, Viktor

Dears Samba users I have a network configurated with a some samba servers e all the clients are Windows (95, 98, Me and NT). For some rasons my access to samba servers is with plaintextpassord and not for encryptedpassword. I need in a moment connect som machines with Windows XP. I read the documentation e follow the steps to configurations, but is not work. I can?t configure

I have written the following function to calculate the weighted mean difference for univariate data (see http://www.xycoon.com/gini_mean_difference.htm for a related formula). Unsurprisingly, the function is slow (compared to sd or mad) for long vectors. I wonder if there's a way to make the function faster, short of creating an external C function. Thanks very much for your advice. gmd

> -----Original Message----- > From: r-help-bounces at stat.math.ethz.ch > [mailto:r-help-bounces at stat.math.ethz.ch]On Behalf Of Caio Lucidius > Naberezny Azevedo > Sent: 01 September 2005 12:09 > To: Help mailing list - R > Subject: [R] Multivariate Skew Normal distribution > > > Hi all, > > Could anyone tell me if there is any package (or function)

In the document "R Data Import/Export", section "Output to connections", there is the following portion of code: ## convert decimal point to comma in output, using a pipe (Unix) zz <- pipe(paste("sed s/\\./,/ >", "outfile"), "w") cat(format(round(rnorm(100), 4)), sep = "\n", file = zz) close(zz) ## now look at the output

I have justed upgraded R v1.7.0 on Windows NT 4 and have installed the latest RMySQL (version 0.5-1)and DBI (version 0.1-5) packages. When I issue the following commands (tactfully adjusted) R just crashes and disappears, any ideas? require(RMySQL) m <- dbDriver("MySQL") con <- dbConnect(m, dbname="xxx", user="xxx", password="xxx",

Hi all, I'd like to quantize a variable to map it into a limited set of integers for use with a colormap. "image" and filled.contour" do this mapping inside somewhere, but I'd like to choose the colors for plotting a set of polygons. Is there a pre-existing function that does something like this well? i.e., is capable of using 'breaks'?

Hello, How can I obtain the likelihood ratio of a Poisson regression model? Regards. _____________________________________________ dr. Marziliano Ciro Facolta' di Economia Universita' degli Studi di L'Aquila p.zza del Santuario, 19 67040 Roio Poggio, L'Aquila tel.: 0862 434836 fax: 0862 434803

I am learning glm function, but how do you fit data using exponential distribution with glm? In the help file, under "Family Objects for Models", no ready made option seems available for the distribution as well as for other distributions satisfying GLM requirements not listed there.

Dear list, Does anyone know how to fit the power law distribution? I have the empirical distribution and would like to check whether it fits the power law (with the power estimated from the data). Any hints are appreciated. Tanks a lot! Galina [[alternative HTML version deleted]]

Hello... Is it possible to use "density" or another kernel density estimator to identify the mode of a distribution? When I use 'density', the resulting density plot of my data is much cleaner than the original noisy histogram, and I can clearly see the signal that I am interested in. E.g., suppose my data is actually drawn from two or more normal (or other)

Hi R-users,  I have a data from multi skew t and would like to transform each of the data to uniform data.  I tried using 'pmst' but only got one output:   > rr1 <- as.vector(r1);rr1  [1]  0.7207582  5.2250906  1.7422237  0.5677233  0.7473555 -0.6020626 -2.1947872 -1.1128313 -0.6587316 -1.1409261     > pmst(rr1, xi=rep(0,10), Omega=diag(10), alpha=rep(1,10), df=5) [1] 3.676525e-09

Dear R-help list members, I have created a package 'mnormt' with facilities for the multivariate normal and t distributions. The core part is simply an interface to Fortran routines by Alan Genz for computing the integral of two densities over rectangular regions, using an adaptive integration method. Other R functions compute densities and generate random numbers. The starting

Hello: I have been using R and the locfit package for Unix/Linux for a little while. However, I have had some trouble, as I am trying to do density estimation for bounded independent variables. There is some discussion in the density estimation book by Azzalini, but none in the book by C Loader (creator of locfit). Also, the variables that I am working on are bounded on both sides, not just