similar to: Seeking optimal mixture

Displaying 20 results from an estimated 300 matches similar to: "Seeking optimal mixture"

2001 May 25
1
Cook-Weisberg confidence curves
Is there an existing function to compute Cook-Weisberg confidence curves for non-linear model parameters in R? Kari Ruohonen -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !)
2005 Oct 07
3
panel data unit root tests
Hi, The question is as follows: has anyone coded panel data unit root tests with R? Even the "first generation" tests (see e.g. Levin & Lin 1993; Pesaran, & Smith & Im 1996; Maddala & Wu 1999) would be sufficient for my needs. To my understanding, these are rather easy to code, but as I have taken just my first steps in coding with R, existing code would save me
2010 Nov 09
0
Qt interfaces to R/ Windows version as well as using PyQT
Is the project on creating R GUIs using QT interfaces still on? Any plans of using PyQT Regards Ajay Ohri Websites- http://decisionstats.com http://dudeofdata.com Linkedin- www.linkedin.com/in/ajayohri On Tue, Nov 9, 2010 at 8:33 PM, Kari Ruohonen <kari.ruohonen at utu.fi> wrote: > Hi, > I wonder if someone could help. I needed to transfer (copy) a workspace > file that
2007 Sep 14
1
covariates in nlmer function
I am trying to explore nlmer by running some nlme examples from Pinheiro & Bates (2000). I do not seem to find information how to specify fixed effects covariates to nlmer models. Specifically, I tried to run the "Carbon Dioxide Uptake" example from p. 368 onwards in the PB200 book. The model without fixed effects covariates runs well but how to tell nlmer to include Type and
1999 Aug 31
0
SAMBA digest 2218
--- samba@samba.org wrote: > SAMBA Digest 2218 > > For information on unsubscribing see > http://samba.org/listproc/ > Topics covered in this issue include: > > 1) > by "Brandon Schnell" <brandonschnell@hotmail.com> > 2) AutoCAD R14 and Eagle Point > by Hank Burton <wburton@literati.com> > 3) Can't locate point and
2010 Nov 09
1
location of Tisean executables when using RTisean and jumping between linux and windows
Hi, I wonder if someone could help. I needed to transfer (copy) a workspace file that had been generated in linux (R 2.11) to windows running the same version of R 2.11 (but of course windows binary). Usually, there is no problem in doing this and all objects work as expected. I am often doing this to be able to produce wmf or emf graphic files that I need. This time I had some spectra that I
2005 Jul 13
2
Proportion test in three-chices experiment
Hi, I wish to analyze with R the results of a perception experiment in which subjects had to recognize each stimulus among three choices (this was a forced-choice design). The experiment runs under two different conditions and the data is like the following: N1 : count of trials in condition 1 p11, p12, p13: proportions of choices 1, 2, and 3 in condition 1 N2 : count of trials in
2006 Jan 06
2
panel data unit root tests
When finally got some time to do some coding, I started and stopped right after. The stationary test is a good starting point because it demonstrates how we should be able to move the very basic R matrices. I have a real- world small N data set with rows: id(n=1)---t1---variable1 ... id=(N=20)---T=21---variable1 Thus, a good test case. For first id I was considering something like this: lag
2008 Dec 08
1
residual standard error in rlm (MASS package)
Hi, I would appreciate of someone could explain how the residual standard error is computed for rlm models (MASS package). Usually, one would expect to get the residual standard error by > sqrt(sum((y-fitted(fm))^2)/(n-2)) where y is the response, fm a linear model with an intercept and slope for x and n the number of observations. This does not seem to work for rlm models and I am wondering
2018 Apr 12
0
EuroLLVM "Round Table" topics
On 04/12/2018 01:40 AM, p23 power via llvm-dev wrote: > Hi, > We are looking for new "Round Table" topics (i.e. mini-bof topics - > formally known as hackers lab).  The round table sessions are a great > way for us all to discuss face-to-face any burning topics. We have > scheduled a table after each BoF sessions so that people can follow up > on those
2012 Feb 09
1
Tr: Re: how to pass weka classifier options with a meta classifier in RWeka?
Le jeudi 09 f?vrier 2012 ? 15:31 +0200, Kari Ruohonen a ?crit : > Hi, > I am trying to replicate a training of AttributeSelectedClassifier with > CFsSubsetEval, BestFirst and NaiveBayes that I have initially done with > Weka. Now, I am trying to use RWeka in R. > > I have a problem of passing arguments to the CfsSubsetEval, BestFirst > and NaiveBayes. I have first created an
2004 May 25
1
debian packages and html help on linux
I have a fresh installation of R from debian unstable packages. The html index found in /usr/lib/R/doc/html/index.html works in Mozilla and under the link of 'packages' on this page I have a list and corresponding links. However, it appears that not all packages I have installed from available deb files via apt-get, will get their link updated to this package index. Specifically, from
2018 Apr 11
2
EuroLLVM "Round Table" topics
Hi, We are looking for new "Round Table" topics (i.e. mini-bof topics - formally known as hackers lab). The round table sessions are a great way for us all to discuss face-to-face any burning topics. We have scheduled a table after each BoF sessions so that people can follow up on those conversation-topics. We will also setup round tables during the event when there is interest (i.e.
2011 Oct 26
2
gam predictions with negbin model
Hi, I wonder if predict.gam is supposed to work with family=negbin() definition? It seems to me that the values returned by type="response" are far off the observed values. Here is an example output from the negbin examples: > set.seed(3) > n<-400 > dat<-gamSim(1,n=n) > g<-exp(dat$f/5) > dat$y<-rnbinom(g,size=3,mu=g) >
2009 Apr 04
1
Problem with sample()
Hi, I'm having a problem using sample() within a function. Basically I get an error reading: Error in sample(v, 1, prob = h) : non-positive probability Can anyone advise me as to the possible origin of this error? Here is my code #Discretised Gillespie algorithm function (From SMfSB, D.J. Wilkinson) gillespied=function (N, T=100, dt=1, ...) { tt=0 n=T%/%dt x=N$M
2009 Sep 18
1
merging data frames with matrix objects when missing cases
Hi, I have faced a problem with the merge() function when trying to merge two data frames that have a common index but the second one does not have cases for all indexes in the first one. With usual variables R fills in the missing cases with NA if all=T is requested. But if the variable is a matrix R seems to insert NA only to the first column of the matrix and fill in the rest of the columns by
2000 Mar 10
1
logit and polytomous data
I am new to generalized linear models and studying McCullagh & Nelder (1989). Especially, I have a problem resembling the \"cheese taste\" example (5.3.1. p. 109) of the book. I tried to analyse the cheese example with R but failed to do so because R allowed me to use logit link function only with binary family that supposes 0 <= y <= 1. Do I need to scale the y\'s or
2010 Oct 08
2
font question on pdf device
Hi, I wonder if this is something on my machine locally or R in general. When I do the following: > plot(c(0,1),c(0,1),main=expression(paste(symbol("D"),"D",sep=""))) I get a plot with a title having uppercase delta followed by "D". But in the following > pdf(file="deltaTest.pdf") >
2002 Apr 03
3
Segmentation fault with xyplot
Hi - Are there any known bugs or other issues that may cause R to crash when trying to use xyplot()? For example, > x<-1:100 > y<-rnorm(100) > library(lattice) Loading required package: grid > xyplot(y~x) causes this: Process R segmentation fault at Wed Apr 3 16:56:42 2002 I am running linux debian unstable on i386. R says it is R 1.5.0 in the header text when starting but
2012 Aug 30
1
path analysis help
Hi there, I searched R-help list with "path analysis" as keyword, and learn that sem package can do it. However, I don't figure out a way to construct the model for the path diagram as Fig. 1. in Huang et al. (2002)[1]. I try the following code: huang.cor <- readMoments(diag=FALSE, names=c('x1', 'x2', 'x3', 'y')) 0.76 0.91 0.72 0.94 0.77 0.83