similar to: Two Copies of Each Message

I keep finding the Win32\Huer virus in colorspace_1.1-1.zip for R x64 2.14.1 running MS Windows 7. As a result I am not able to use rattle or ChemometricsWithR. I have tried several different mirrors with the same result. Fortunately AVG has caught and quarantined the problem, but the colorspace package is not available. I can use the package on my Linux OS, but, of course, Linux

Sorry for the somewhat nondescript subject line, but I have two questions: 1. What is a really good book on R for a nonprogrammer? 2. How do I open more than one R Graphics: Device 2(ACTIVE). That what is the R command that I can use to keep more than one plot open. I am running a script from a book on Chemometrics that results in more than one graph during the execution, but

How do I go about autoloading R Commander when I start R? Thanks in advance. -- Stephen P. Molnar, Ph.D. Life is a fuzzy set Foundation for Chemistry Stochastic and multivariant http://www.geocities.com/FoundationForChemistry

I''m a new R user and, frankly, this problem has got me stumped. I''m using the 64 bit version of RGui and followed the installation instructions on http://www.rforge.net/rJava/ Here is the result: package ''rJava'' successfully unpacked and MD5 sums checked > library(rJava) Error in utils::readRegistry(key, "HLM", 2) : Registry key

---------- Forwarded Message ---------- Subject: [R] Autoloading R Commander Date: Saturday November 19, 2005 10:35 am From: "Stephen P. Molnar, Ph.D." <s.molnar at sbcglobal.net> To: R <r-help at stat.math.ethz.ch> How do I go about autoloading R Commander when I start R? Thanks in advance. -- Stephen P. Molnar, Ph.D. Life is a fuzzy set Foundation for

I am trying to install R Commander in my R installation on a laptop running the 64 bit version of Windows 7 Professional. I was running R as the Administrator. The downloads proceed normally via CRAN, but then I get the following error messages: package ''slam'' successfully unpacked and MD5 sums checked package ''fBasics'' successfully unpacked and MD5

I have just installed the latest version of R on a openSUSE 12.1 system running on an ORacle VM VirtualBox and have encountered a problem with installing ChemometricsWithR. Here is the output: > library("compiler") > install.packages("ChemometricsWithR") Installing package(s) into ?/home/computation/R/x86_64-unknown-linux-gnu- library/2.15? (as ?lib? is unspecified)

Hi, Why, when I run the script below, is my y-axis range command being ignored? I.e., the y axis graphed consistently fits the line specified in the plot command, but never fits the line I'm trying to add in the subsequent line command. This is my first R script, so if I'm doing anything else wacky that jumps out, please let me know. I'm an advanced Stata user, but R is new to me.

Hi, Given a positive integer N, and a real number \lambda such that 0 < \lambda < 1, I would like to generate an N by N stochastic matrix (a matrix with all the rows summing to 1), such that it has the second largest eigenvalue equal to \lambda (Note: the dominant eigenvalue of a stochastic matrix is 1). I don't care what the other eigenvalues are. The second eigenvalue is

Dear all, I am running matrix population models using package "popbio". In a deterministic model {i.e., transition matrix is defined as A <- matrix(c(0.70, 0.70,0.35,0.50), nrow=2,byrow=TRUE}, population growth rate can be estimated from the dominant eigenvalue {command "eigen.analysis"}. However, I cannot figure out the way to compute the asymptotic stochastic population

Hello R users, I am trying to calculate the stochastic lambda for a published matrix population model using the popbio package. Unfortunately, I have been unable to match the published results. Can anyone tell me whether this is due to slightly different methods being used, or have I gone wrong somewhere in my code? Could the answer be as simple as comparing deterministic lambdas to

Hi. guys, I am trying to write my own Stochastic Gradient Ascent for logistic regression in R. But it seems that I am having convergence problem. Am I doing anything wrong, or just the data is off? Here is my code in R - lbw <- read.table("http://www.biostat.jhsph.edu/~ririzarr/Teaching/754/lbw.dat" , header=TRUE) attach(lbw) lbw[1:2,] low age lwt race smoke ptl ht ui ftv

Hi, I am trying to find out the scale efficiency and optimal scale of banks by stochastic frontier analysis given the panel data of bank. I am free to choose any model of stochastic frontier analysis. The only approach I know to work with R is to estimate a translog production function by sfa or other related function in frontier package, and then use the Ray 1998 formula to find the scale

(apologies for the cross-posting, and for this being a more general stats question rather than a specific-to-R one. I assure you I will be doing the actual analysis in R :) I am trying to determine the distribution and variance for a classic stochastic (transition) matrix problem such that: let x(t) be an initial state vector consisting of counts of classes A, B and C: x(t) =

Dear useRs, I wrote a function that simulates a stochastic model in discrete time. The problem is that the stochastic parameters should not be negative and sometimes they happen to be. How can I conditionate it to when it draws a negative number, it transforms into zero in that time step? Here is the function: stochastic_prost <- function(Fmean, Fsd, Smean, Ssd, f, s, n, time, out=FALSE,

hello everyone, i'm trying to simulate a 2-parameter integrated ornstein-uhlenbeck (IOU) process, but i'm not sure exactly where to start (which package, which function). the motivation is the paper by taylor et. al. (JASA 1994) "a stochastic model for the analysis of longitudinal aids data." the model they suggest consists of a combination of fixed and random effects, a

I need to estimate maximum tree crown radius and am looking for a package to prepare stochastic frontier models in R. I have not found any package references on Nabble R help, google, or R help. Any tips on a package for this? With regards, Aaron Trowbridge Researcher BV Research Centre Smithers B.C. -- View this message in context:

Hi all, Does anybody have the source code of stochastic volatility models in R or Matlab, for example, the Bayesian based or the simulation based SV estimations as described by Prof Eric Zivot in the following discussion? https://stat.ethz.ch/pipermail/r-sig-finance/2005q4/000501.html -------------- I am wondering what is the current status of estimating stochastic vol models and what's

Hi there, I am trying to write a tool which involves implementing logistic regression. With the batch gradient descent method, the convergence is guaranteed as it is a convex problem. However, I find that with the stochastic gradient decent method, it typically converges to some random points (i.e., not very close to the minimum point resulted from the batch method). I have tried different ways

Halo i'm studying chemistry, today we made an experiment and i have to draw a titration kurve for my mess data. we can do it on a mm paper, or we can also use a programe. people from chemistry recomend "R" last year i studied civil eng. and we used Matlab, as I see, R ist very similar to it, but its got other comands. But i think R would be a good help for some exercises. so my