similar to: quantreg::rq.fit.hogg crashing at random

I've been trying to draw quantile linear regression lines across a scatterplot of my data using attach(forrq) plot(PREGNANT,DAY8,xlab="pregnant EPDS",ylab="postnatal EPDS",cex=.5) taus <- c(.05,.1,.25,.75,.9,.95) xx <- seq(min(PREGNANT),max(PREGNANT),100) for(tau in taus){ f <- coef(rq(DAY8~PREGNANT,tau=tau)) yy <-

Hello. I am a beginer in R and I can not implement the KhmaladzeTest in the following command. Please help me!!!!!!!!!!! PD: I attach thw results and the messages of the R program R : Copyright 2006, The R Foundation for Statistical Computing Version 2.3.1 (2006-06-01) ISBN 3-900051-07-0 R es un software libre y viene sin GARANTIA ALGUNA. Usted puede redistribuirlo bajo ciertas

Dear list, I have some trouble generating a frequency table over a number of vectors. Creating these tables over simple numbers is no problem with table() > table(c(1,1,1,3,4,5)) 1 3 4 5 3 1 1 1 , but how can i for example turn: 0 1 0 0 0 1 0 1 0 1 0 0 0 1 0 1 0 0 into 0 0 1 1 1 0 0 2 0 1 0 3 My second problem is, sorting rows and columns of a matrix by the rowSums/colSums. I did it

HOgg 0.4.1.1 Released --------------------- The HOgg package provides a commandline tool for manipulating Ogg files, and a corresponding Haskell library. HOgg is in hackage, or on the web at: http://www.kfish.org/~conrad/software/hogg/ This is the fifth public release. The focus is on correctness of Ogg parsing, production and editing. The capabilities of the hogg commandline tool are roughly

HOgg 0.2.0 Released ------------------- The HOgg package provides a commandline tool for manipulating Ogg files, and a corresponding Haskell library. http://snapper.kfish.org/~conrad/software/hogg/ This is the initial public release. The focus is on correctness of Ogg parsing and production. The capabilities of the hogg commandline tool are roughly on par with those of the oggz* tools[0],

HOgg 0.3.0 Released ------------------- The HOgg package provides a commandline tool for manipulating Ogg files, and a corresponding Haskell library. HOgg is in hackage, or on the web at: http://www.kfish.org/~conrad/software/hogg/ This is the second public release. The focus is on correctness of Ogg parsing, production and editing. The capabilities of the hogg commandline tool are roughly on

HOgg 0.3.0 Released ------------------- The HOgg package provides a commandline tool for manipulating Ogg files, and a corresponding Haskell library. HOgg is in hackage, or on the web at: http://www.kfish.org/~conrad/software/hogg/ This is the second public release. The focus is on correctness of Ogg parsing, production and editing. The capabilities of the hogg commandline tool are roughly on

Here's some instructions for installing hogg on a current Ubuntu 8.10 (or Debian unstable? testing?) system, ie. if you don't already have haskell's cabal system installed: $ sudo apt-get install ghc6 $ wget http://hackage.haskell.org/packages/archive/cabal-install/0.6.0/cabal-install-0.6.0.tar.gz $ tar zxf cabal-install-0.6.0.tar.gz $ cd cabal-install-0.6.0 $ ./bootstrap.sh $ cabal

Conrad Parker wrote: > Here's some instructions for installing hogg on a current Ubuntu 8.10 > (or Debian unstable? testing?) system, ie. if you don't already have > haskell's cabal system installed: > > $ sudo apt-get install ghc6 > $ wget http://hackage.haskell.org/packages/archive/cabal-install/0.6.0/cabal-install-0.6.0.tar.gz > $ tar zxf

HOgg 0.4.0 Released ------------------- The HOgg package provides a commandline tool for manipulating Ogg files, and a corresponding Haskell library. HOgg is in hackage, or on the web at: http://www.kfish.org/~conrad/software/hogg/ This is the third public release. The focus is on correctness of Ogg parsing, production and editing. The capabilities of the hogg commandline tool are roughly on

HOgg 0.4.1 Released ------------------- The HOgg package provides a commandline tool for manipulating Ogg files, and a corresponding Haskell library. HOgg is in hackage, or on the web at: http://www.kfish.org/~conrad/software/hogg/ This is the fourth public release. The focus is on correctness of Ogg parsing, production and editing. The capabilities of the hogg commandline tool are roughly on

Quantreg package allows to plot the summary of models derived by quantile regression at different taus. The plot shows the parameters variation by varying taus: intercept and slope (for a linear model). Together with these values even confidence intervals may be plotted, based on the threshold given within the summary (e.g. alpha=0.01 equals 99% CI). However the graphic even plots the mean of

Quantile Regression for Longitudinal Data. Hi, I am trying to estimate a quantile regression using panel data. I am trying to use the model that is described in Dr. Koenker's article. So I use the code the that is posted in the following link: http://www.econ.uiuc.edu/~roger/research/panel/rq.fit.panel.R I am trying to change the number quantiles being estimated. I change the codes about

Full_Name: Dr. Hans A. Kestler Version: 1.8.1. OS: Linux, Win, Mac OSX Submission from: (NULL) (134.60.73.116) The code below produces after a different number of iterations i the following error: Error in optim(par = rep(0.5, length(edges)), loglik, method = "L-BFGS-B", : non-finite value supplied by optim This was reproducible on different machines (Mac G4 OSX, AMD Opteron

Hey, My dataset has 1 dependent variable(Logloss) and 7 independent dummy variables(AS,AM,CB,CF,RB,RBR,TS) , it's attached in this email. The problem is I cant finish Khmaladze test because there's an error "Error in switch(mode(x), "NULL" = structure(NULL, class = "formula"), : invalid formula" which I really dont know how to fix. My R version is 2.7.2.

Hi, I would like to fit the following model with quantile regression: y ~ alpha + beta where both alpha and beta are factors. The conceptual model I have in my head is that alpha is a constant set of values, that should be independent of the quantile, tau and that all of the variability arises due to beta. If I just fit the model using the quantreg package like so: mdl <- rq( y ~ alpha

Dear all, I am writing you for two problems I can not solve with R. I used both the 2.6.1 version and the 2.7.0 version. I run a sintax written by a collegue of mine, where there are involved both sparse matrix and quantile estimations. My data begins with 10008*14 observations and at maximum they reach 10008*834 observations. My questions are the following: first, when I give the command

Dear all, I have just sent an email with my problem, but I think no one can see the red part, beacuse it is black. So, i am writing again the codes: rm(list=ls()) #remove almost everything in the memory set.seed(180185) nsim <- 10 mresultx <- matrix(-99, nrow=1000, ncol=nsim) mresultb <- matrix(-99, nrow=1000, ncol=nsim) N <- 200 I <- 5 taus <- c(0.480:0.520) h <-

Dear all, I am trying to run a loop in my codes, but the software returns an error: "subscript out of bounds" I dont understand exactly why this is happenning. My codes are the following: rm(list=ls()) #remove almost everything in the memory set.seed(180185) nsim <- 10 mresultx <- matrix(-99, nrow=1000, ncol=nsim) mresultb <- matrix(-99, nrow=1000, ncol=nsim) N

Hi, I am trying to covert a Winbugs code into R code. Here is the winbugs code model{# model’s likelihoodfor (i in 1:n){time[i] ~ dnorm( mu[i], tau ) # stochastic componenent# link and linear predictormu[i] <- beta0 + beta1 * cases[i] + beta2 * distance[i]}# prior distributionstau ~ dgamma( 0.01, 0.01 )beta0 ~ dnorm( 0.0, 1.0E-4)beta1 ~ dnorm( 0.0, 1.0E-4)beta2 ~ dnorm( 0.0, 1.0E-4)#