similar to: section needed in FAQ - Using R (PR#9698)

Not sure if the question is appropos, but I have multiple csv's which are read into an xts object, corresponding to telemetry data (accelerometer, magnetometer/compass, and gyroscope). For examination, it would be ?ber useful if plot.zoo (or something similar) allowed me to zoom in and out of a subset of the time axes. -- Sent from my mobile device Envoyait de mon portable

Hello, I'm taking samples from certain distributions and drawing a density distribution over the histogram of the samples It works fine for the chi-square and for the normal, but not for the cauchy. Any idea what I'm doing wrong? Thanks x <- rchisq(10000, df = 4) hist(x, freq = FALSE, breaks=100) curve(dchisq(x, df = 4), col = 2, add = TRUE) x <- rnorm(10000) hist(x, freq =

Hello all, I have a question about ext3/jbd for 2.4 as it pertains to the ARM architecture. The presence of the ext3 and/or jbd drivers seem to cause suspend/resume to stop working on our platform (SA1110 (StrongARM) - based). My question is: are there any appropriate patches since 2.4.27 to either ext3 or jbd that may be appropos to this issue. I have also posted to the ARM kernel mailing list

Hi, I'd like to know if there's anything in R that could help me do that. Let's suppose I have a density function of a random variable, for example f(x) = (x^3)/4 0 < x < 2 and I would like to simulate it. For the common distributions (exponencial, gamma, cauchy) there are the r-functions (rgamma, rexp, runif, rcauchy, and so on).. But when the variable I want to simulate is not

Folks, I wonder if anything could be said about the distribution of a random variate x, where x = N(0,1)/N(0,1) Obviously x is pathological because it could be 0/0. If we exclude this point, so the set is {x/(0/0)}, does x have a well defined distribution? or does it exist a distribution that approximates x. (The case could be generalized of course to N(mu1, sigma1)/N(mu2, sigma2) and one

Full_Name: Madeleine Yeh Version: 1.9.1 OS: AIX 5.2 Submission from: (NULL) (151.121.225.1) After compiling R-1.9.1 on AIX 5.2 using the IBM cc compiler, I ran the checks. One of them failed. Here is the output from running the check solo. root@svweb:/fsapps/test/build/R/1.9.1/R-1.9.1/tests/Examples: ># ../../bin/R --vanilla < stats-Ex.R R : Copyright 2004, The R

I've been trying to use net2phone's sip service at sip.net2phone.com with * but keep getting SIP/2.0 401 Unauthorized. Do you know if this should be possible? So far: I can use an ata186 to connected directly to n2p through sip.net2phone.com without any special settings. I can connect from * to iconnecthere, but, whatever I try from * to n2p produces "SIP/2.0 401 Unauthorized"

Hello! One note/question hier about specification of control-parameters in the lme(...,control=list(...)) function call: i tried to specify tne number of iteration needed via lme(....,control=list(maxIter=..., niterEM=...,msVerbose=TRUE)) but every time i change the defualt values maxIter (e.g. maxIter=1, niterEM=0) on ones specified by me, the call returns all the iterations needed until

Hi, I am trying to recreate the right graph on page 524 of Gelman's 2006 paper "Prior distributions for variance parameters in hierarchical models" in Bayesian Analysis, 3, 515-533. I am only interested, however, in recreating the portion of the graph for the overlain prior density for the half-Cauchy with scale 25 and not the posterior distribution. However, when I try:

I have question (curiosity) regarding returned values of R's qcauchy () function, for nonexceedance probability (F). It seems the ideal returned range of cauchy distribution should be [-Inf,Inf]. For F=0 > qcauchy(0) [1] -Inf but for F=1 > qcauchy(1) [1] 8.16562e+15 It seems to me that the proper return value should be Inf??? For default (location=0,scale=1) quantile function of

Hi I'm using R(2.9.0) and gstat package under Windows to plot sample variograms. When I want to fit them, I don't have the possibility to choose Cauchy functions. Under Mathematica for example, we have it and it seems to be the best one to fit the variograms I have I tested the others functions, they can fit but I would,if possible, use the Cauchy one. If anybody knows something about

Hi all, I am using the function COV.WT to estimate the estimators (location and scale) of a bivariate cauchy distribution. My doubt is about the option WT (weight), cause at the R-help shows that the weight is uniform according to the number of observations. But, checking the theory, for example, the mean is given by mean_estimator=mean(u(s)x)/mean(u(s)), where x=my data (bivariate)

Hi, I have the following R-code: pdf(file="test.pdf") hist(rcauchy(100)) dev.off() How can I set the size of the histogram in my pdf? I tried to do with par(...) but I didn't find the right parameter yet. Thanks, Max -- View this message in context: http://www.nabble.com/set-size-of-a-plot-tp22477083p22477083.html Sent from the R help mailing list archive at Nabble.com.

Hi R-users, Recently, I use maxNR function to find maximizer. I have error appears as follows Error in maxNRCompute(fn = fn, grad = grad, hess = hess, start = start, : NA in the initial gradient My code is mu=2 s=1 n=300 library(maxLik) set.seed(1004) x<-rcauchy(n,mu,s) loglik<-function(mu) { log(prod(dcauchy(x,mu,s))) } maxNR(loglik,start=median(x))$estimate Does anyone know how

Full_Name: Jörg Polzehl Version: 1.5.1 OS: Windows 2000 Submission from: (NULL) (193.175.148.198) When calculating MLE's in a variance component model using constrained optimization, i.e. optim(...,method="L-BFGS-B",...) I observed an inproper behaviour in cases where the likelihood function was evalueted at the constraint. Parameters and value of the function at the constraint

Dear list, I would like to generate random numbers from a Voigt distribution, hopefully in a way as simple as getting random numbers from a normal distribution with 'rnorm'. Is there any package to do this? Speed is an issue in this application. Or, as the Voigt distribution is a convolution of a Gaussian and a Lorentzian, can I simply combine random numbers from rnorm and rcauchy in some

What is the current state of the R-art for ordered probit models, and more esoterically is there any available R strategy for ordered cauchit models, i.e. ordered multinomial alternatives with a cauchy link function. MCMC is an option, obviously, but for a univariate latent variable model this seems to be overkill... standard mle methods should be preferable. (??) Googling reveals that spss

-------- Original Message -------- Subject: Typo in the FAQ at http://wiki.centos.org/FAQ/CentOS6, /etc/sysconfig/nertwork-scripts/ifcfg-eth0 should be /etc/sysconfig/network-scripts/ifcfg-eth0 Date: Thu, 19 Jan 2012 15:31:08 +0100 From: Maximilian Heise <maximilian.heise at gmx.net> To: webmaster at centos.org Hello, I think there is a typo in the faq at

wiki name: HavardSorli Page for update : https://wiki.centos.org/FAQ/CentOS7 some notes / comments to: FAQ "7. What have you done with ifconfig/netstat?" "no longer install the net-utils package" I am not 100% sure, but I think "net-utils" is the wrong package name. I have checked Centos 4.9 and 7.2, ifconfig is part of the net-tools package # rpm -ql net-tools

wiki name: HavardSorli Page for update : https://wiki.centos.org/FAQ/CentOS7 some notes / comments / open points to: FAQ "4. .... want it to work and to hand-edit the configuration files." My user case: "Adding an extra ip to the same interface" in the "old days" an alias. ( I am not sure if this should be an extra faq question, or incorporated in FAQ 4) I have