similar to: density

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 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 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 am a physician examining an NHANES dataset available at the NCHS website: http://www.cdc.gov/nchs/about/major/nhanes/nhanes2005-2006/demo_d.xpt http://www.cdc.gov/nchs/about/major/nhanes/nhanes2005-2006/hdl_d.xpt http://www.cdc.gov/nchs/about/major/nhanes/nhanes2005-2006/tchol_d.xpt Thank you to the R authors and the foreign package authors in particular. Importing from the SAS export

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]]

Hi, I'm trying to normalize data by fitting a line through the highest density of points (in a 2D plot). In other words, if you visualize the data as a density plot, the fit I'm trying to achieve is the line that goes through the "crest" of the mountain. This is similar yet different to what LOESS does. I've been using loess before, but it does not exactly that as it takes

Hi, I think there's a mistake in the french version of the FAQ at http://vorbis.com/faq/ ----8<------8<------8<------8<-- Est-il possible de porter l'encodeur/d?codeur Vorbis pour une plateforme sans gestion de virgule flottante ? Cela a d?j? ?t? fait pour le d?codeur. Tremor est une impl?mentation ? virgule fixe du d?codeur Vorbis qui peut ?tre utilis?e sur les

It is known that function bkde2D (package "KernSmooth") returns a matrix of density estimates over the mesh induced by x1 and x2. In Details it is written that "... heights of the kernel, scaled by the bandwidths, at each datapoint are summed. This sum, after a normalization, is the corresponding fhat value in the output". There are several questions: 1) How to calculate

Has anyone been able to sucessfully use 2-4 X101P clones with Asterisk on a single system ? I'm using one Encore MD 3200 modem sucessfully, alongside a TDM400P (3 FXS, 1 FXO) and would like to be able to use up to 4 X101P on a single system. In most cases I'll have 2 or 3 instead. I understand all the issues with interrupt sharing and PC motherboard quality. Just need to know if any

Hi, I wanted to know how to compute the correlation ratio (eta) between two variables using R. Is there any function to compute the correlation ratio. Any help will be very much appreciated. Thanks, Suman [[alternative HTML version deleted]]

x <- iris$Sepal.Length[1:50]/iris$Sepal.Width[1:50] y <- iris$Petal.Length[1:50]/iris$Petal.Width[1:50] I want to check whether (x,y) follows a bivariate normal distribution or not, using density plot or scatter plot. Is it possible to plot a bivariate density in R. I cant find any. Arindam Fadikar M.Stat Indian Statistical Institute. New Delhi, India [[alternative HTML version

HI folks, I'm trying to use Encore with wine. And I get the attached message. What mean this? Thank you very much in advance, Luis Pablo Gasparotto -------------- next part -------------- bash-2.04# wine --winver win98 encore FIXME:pthread_rwlock_rdlock FIXME:pthread_rwlock_unlock Could not stat /mnt/fd0 (No such file or directory), ignoring drive A:

I've been trying to implement bivariate kernel density estimation. For data like mine, function "kde" from package "ks" with bandwidth matrix derived by function "Hscv" seems like a very good choice. Unfortunately, Hscv seems unmanageably slow except for very small sample sizes (up to a few hundred) and my sample sizes are quite large (up to a few thousand).

Marcus, I am running Encore 4.1.0.0 on Windows XP. The graphic tool works for chords but the text tool crashes whenever I exit its input mode. I copy the TTF's to the Windows font folder and it still does not work. So, I just moved the TTF's to the Windows font folder without success. Do you have a solution? Very much appreciative. Sincerely, Carl Protho -------------- next part

I have this cheap "ENCORE 10/100Mbps Fast Ethernet PCI Adapter" which comes with its own driver that compiles to 'sundance.ko' and performs bad (30% packet loss) on a fully updated CentOS 4.4 box. This brand, model and driver have worked OK for me on some other CentOS installations, none of which are 4.4. Short of replacing the board, which you can bet I will do, can anybody

hi,R users, Now I have some scatter figures, is there some method can plot equalprobable error ellipse ? -- TANG Jie Email: totangjie@gmail.com Tel: 0086-2154896104 Shanghai Typhoon Institute,China [[alternative HTML version deleted]]

Hi and thanks in advance to everyone who will be able to help me. I have 2 independent lognormal distributions with different means and sd. I want to plot them togheter in a 3D plot. How can i do this??? I'm getting crazy... Thanks Ale -- View this message in context: http://r.789695.n4.nabble.com/3-D-plot-of-a-bidimensional-lognormal-distribution-tp4633866.html Sent from the R help

ok, I have problems with write function > F Id_TrT1 Id_Geno Id_Rep Val_O 3 0 55094 1 85 9 0 55096 1 87 15 0 55098 1 92 21 0 55079 1 76 27 0 55095 1 92 33 0 55099 1 98 39 0 55092 1 92 45 0 55090 1 72 51 0 55101 1 93 57 0 55106 1 90

Hello all. I'm confused a bit about contour plots. After reading the help at "?contour", it seems as though the contour plot is for 3D plots (x,y, and z). My data is in the form of grid coordinates (x,y), and I want to see a contour plot of the data so that I can tell where most observations lie. My question is simple but still evasive. Say my data is called places. One column

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