similar to: Package for calculating bandwidths

Hi, I am using the KernSmooth package to estimate nonparametrically bivariate density functions. However, it seems that the bandwidths (one for each co-ordinate direction) have to be selected manually. This does not apply for the univariate case, for which dpik (included in KernSmooth) uses up-to-date plug-in rules. Does anyone know about a package, or function, which estimates bandwidths

Thank you in advance. Now I want to make comparison of the different bandwidth h in a normal distribution graph. This is the table of bandwidth h: thumb rule (normal)--0.00205; thumb rule(Epanech.)--0.00452; Plug-in (normal)--0.0009; Plug-in(Epanech.)--0.002. this is the condition: N=1010 data sample is from normal distribution N(0,0.0077^2). The grid points are taken to be [-0.05,0.05] and

Dear R Users, Before running ksmooth( ), a suitable bandwidth selection is needed. I use some functions for this task and receive these results for my data: width.SJ(y,nb=100,method="ste") : 40.25 bcv(y,nb=100) : 40.53 ucv(y) : 41.26 bandwidth.nrd(y) : 45.43 After implementing the function ksmooth(x,y, bandwidth= each of abovementioned bandwidths), I have some NAs

Ok - here's what I want to do... I compiled and installed icecast 1.3.11 and ices 0.2.2, and can get a single lame-encoded stream working. What I'd like to do is set up two streams - one at 48kbps, one at 128kbps - from one source. Reason being is that I'd like to listen to the high-bandwidth stream locally (ie: in another room of the house) while I listen to the 48kbps stream

Hello r-help, I am using the excellent np package to conduct a nonparametric kernel regression and am having some trouble plotting the results. I have 2 covariates, x1 and x2, and a continuous outcome variable y. I am conducting a nonparametric regression of y on x1 and x2. The one somewhat unusual feature of these data is that, to be included in the dataset, x1 must be at least as large as x2.

Dear All, Is there a way to find bandwidths for Normal, and Triangular Kernels using Sheather Jones plug-in method. If not, is there a way we could convert the bandwidth obtained by the default( I assume that the default is standard normal) in hcj(x,...) to other kernels. I appreciate your help. Thanks Durai --------------------------------- [[alternative HTML version

I'm trying to encode audio tracks as ogg vorbis at very low bandwidths for peer to peer broadcasting. I.e. need to have two streams uploading from modem users, which means the bitrate needs to be around 18-22 kbps. It's not easy to get good quality at this bitrate. The recipe I'm using at the moment is: oggenc Mon-Sep-20-04-0\:3\:27.wav -b 20 -M 22 --resample 17000 --downmix -o

My apologies, the data can now be found at: url <- "http://www.econ.uiuc.edu/~roger/research/ebayes/velo.d" x <- scan(url,skip = 1) If I could get each of the histograms to mimic what is produced by hist(x, 100, freq = FALSE) I?ve experimented with xlim, ylim, without success so far... url: www.econ.uiuc.edu/~roger Roger Koenker email rkoenker at uiuc.edu

I am trying to do some comparisons of density estimators using lattice. The code below attempts to plot the same histogram in each panel and then overplots a kernel estimate with different bandwidths. Finding packet.number() was a bit arduous, but seems to do what I want. My concern now is that close examination of the 4 histograms reveals that they are different even though they use the same

Hi, I have a rather simple problem I have to solve, well I thought it would be simple, I''ve run into a problem. I think I must be missing something fundamental. I am trying to build a Linux router that simply throttles everything down to certain bandwidths. That is, no priority queuing ...etc, just slow all traffic down to the specified rates, which are 64,128,256,512 kbit. We want

Hi all, I would like to include a function that I have made by modifying an existing R function (bw.SJ and corresponding code in bandwidths.c). The header of bandwidths.c states: /* * R : A Computer Language for Statistical Data Analysis * bandwidth.c by W. N. Venables and B. D. Ripley Copyright (C) 1994-2001 * Copyright (C) 2012 The R Core Team * * This program is free software; you

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

I would like to get the fortran code for the functions locpol and dpill in the kernsmooth library , the purpose is to incorporate other selection criterion for the bandwidth in which a varying bandwidths are replaced instead of the constant bandwidth. I will send you back the improved version as soon as I get the fortran code for the upper mention functions. ((LOCPOLY and DPILL )))

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

Hello, Besides a very good functionality, I have a small, yet stressing, problem. Let''s say I have a bandwidth of N bits. I have X clients, everyone with his fixed bandwidth. I create htb qdsics for each client. Each leaf has sfq queueing discipline. A sample config would be like this : tc class add dev eth0 parent 1:2 classid 1:346 htb rate 32Kbit ceil 32Kbit burst 4k

Hi, I am trying to control bandwidths of the connections by using TC with HTB. But I want to implement Leaky Bucket on this structure so as to have a straight flow. Due to being new in this area, could anyone help me how I could do this? Does TC support leaky bucket? Best regards, Fatih Duzova

I hope it is OK to ask an Opus question here. If not, please advise the correct forum. Regarding the statement "Internally, the codec always operates at a 48 kHz sampling rate, though it allows input and output of various bandwidths..." Can I infer from this that it is most CPU efficient to always input and output PCM data at 48000 samples per sec, regardless of other factors such as

Hi Everyone, My experience is only with the Canadian providers. What options/providers are there in Dallas and Philadelphia other than Verizon when it comes to internet? Something in the order of at least 10mbps down and up - I understand that and higher bandwidths are easily available in USA due to vast fiber networks? The connection will be replacing a T1 and will be support VPN connections to

I am using the package hdrcde to get the highest density region. I have the data from an unknown distribution. And I used the subroutine hdr from the package to get the highest density region. But I always got a error message. I do not know why. Who can help?Thanks! The codes look like this: j is the data set, > hdr(j) Error in bw.SJ(x) : no solution in the specified range of bandwidths

I have two servers on a network that need to intercommunicate a lot (file sharing and authentication information). I''d like to prioritise that traffic on them from their other network traffic, but I don''t want to think in terms of necessarily fixing bandwidths; I just want the inter-server communication to go out first if there''s a backlog. I could decide, I guess,