similar to: Qt interfaces to R/ Windows version as well as using PyQT

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

Dear R users, I've just uploaded 2 packages on CRAN, RTisean and tsDyn, both for time series analysis (joint research projects with members of the Statistics Department, University of Udine). Brief descriptions follow. RTisean is an R interface to TISEAN executables (http://www.mpipks-dresden.mpg.de/~tisean/). TISEAN is a suite of C and Fortran routines for nonlinear time series analysis,

Dear R users, I've just uploaded 2 packages on CRAN, RTisean and tsDyn, both for time series analysis (joint research projects with members of the Statistics Department, University of Udine). Brief descriptions follow. RTisean is an R interface to TISEAN executables (http://www.mpipks-dresden.mpg.de/~tisean/). TISEAN is a suite of C and Fortran routines for nonlinear time series analysis,

I have a question on generating multivariate time series surrogates using the "surrogates" function in the RTisean library. The surrogate data matrices are always much shorter than the input matrices. FYI, I'm using R version 2.12.2 on Windows XP RTisean library v 3.0.14 Tisean algorithms v 3.0.13 Creating a surrogate univariate time series returns a time series with the

Hi, I?m trying to use the STLperArea function in the ndvits package. I can run the sample data (?SLPSAs_full?) without any problem. However, when I come to run the function on my own data, I get the following message. Waiting to confirm page change... Error in .checkPath(path) : no TISEAN executables found in that directory. Please set a proper TISEAN executables path using

Dear R users, I've just uploaded to CRAN a new version of RTisean, the TISEAN-to-R interface. This is now compatible with the recent, new 3.0.1 release of TISEAN [1]. This new TISEAN version is explicitely GPL-ed, and has some more routines handling multivariate time series. Bests, Antonio, Fabio Di Narzo. [1] http://idmc.blogspot.com/2007/03/tisean-300-is-out.html

Dear R users, I've just uploaded to CRAN a new version of RTisean, the TISEAN-to-R interface. This is now compatible with the recent, new 3.0.1 release of TISEAN [1]. This new TISEAN version is explicitely GPL-ed, and has some more routines handling multivariate time series. Bests, Antonio, Fabio Di Narzo. [1] http://idmc.blogspot.com/2007/03/tisean-300-is-out.html

--- 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

This is maybe not directly an R problem but I have used R to try to solve it so I think somebody may be able to help. I have a mixture model with three components and a quadratic Scheffe polynomial p1x1+p2x2+p3x3+p12x1x2+p13x1x3+p23x2x3 fitted to the response. Now I'd like to compute the mixture corresponding the maximum response. Model for Y1 has the parameters p1=124.02 p2=60.973 p3=41.479

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 !)

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

Hi R-users, I'm trying to produce decompositions of a multiple time-series, grouped by a factor (called "area"). I'm modifying the code in the STLperArea function of package ndvits, as this function only plots produces stl plots, it does not return the underlying data. I want to extract the trend component of each decomposition ("x$time.series[,trend]), assign a name

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

I am trying to fit the 4-parameter logistic model with SSfpl. The estimation is terminated with a message "step factor 0.000488281 reduced below 'minFactor' of 0.000976562". I tried to change the minFactor with nls.control(minFactor=yy) with no apparent success. A call of nls.control() without arguments always shows the value of 0.000976562. Also the estimation terminates as

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

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

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

Dear All, I am a novice when it comes to time-series analysis and at the moment I am actually interested in calculating the Hurst exponent of a time series. This question has already been asked quite some time ago http://bit.ly/98dZsi and I trust some progress has been made ever since. I was able to find some functions in the packages http://cran.r-project.org/web/packages/Rwave/index.html

Hi When we use the sav_gol command in R , it shows an error which says: " error in as.matrix". We've downloaded the necessary packages. Kindly help us with this issue. If there is any other function to perform Savitzky-Golay smoothing in R, please let me know. With Regards Reynolds

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) >