similar to: RTisean 3.0-7 released

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 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

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 all, I have uploaded to CRAN a new package: tseriesChaos. This is an early version (0.1) with basic tools for the explorative analysis of nonlinear time series motivated by chaos theory. Until now, the package is largely inspired by the TISEAN project (by Rainer Hegger, Holger Kantz and Thomas Schreiber: http://www.mpipks-dresden.mpg.de/~tisean/ ). This version includes: - Method of false

Dear all, I have uploaded to CRAN a new package: tseriesChaos. This is an early version (0.1) with basic tools for the explorative analysis of nonlinear time series motivated by chaos theory. Until now, the package is largely inspired by the TISEAN project (by Rainer Hegger, Holger Kantz and Thomas Schreiber: http://www.mpipks-dresden.mpg.de/~tisean/ ). This version includes: - Method of false

Dear R developers, these days I'm working on some R code for fitting completely generic Bayesian Hierarchical Models in R, a la OpenBUGS and JAGS. A key feature of OpenBUGS and JAGS is that they automatically build an appropriate MCMC sampler from a generic model, specified as a directed acyclic graph (DAG). The spirit of my (would-be) implementation is instead more focused on experimentation

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

Hi guys. I recently stumbled on an unexpected behavior of R when using functions created in a loop. The problem is silly enough to me that I had hard time choosing a good mail subject, not talking about searching in the archives... After some experiments, I trimmed down the following minimal reproducible example: ####### makeF <- function(i) function() i fList <- list(makeF(1), makeF(2))

Hi all. I'm looking for robust ways of building lagged variables in a dataset with multiple individuals. Consider a dataset with variables like the following: ## set.seed(123) d <- data.frame(id = rep(1:2, each=3), time=rep(1:3, 2), value=rnorm(6)) ## >d id time value 1 1 1 -0.56047565 2 1 2 -0.23017749 3 1 3 1.55870831 4 2 1 0.07050839 5 2 2 0.12928774 6

(Moved from r-devel to r-bugs) On 3/24/2006 5:03 AM, Antonio, Fabio Di Narzo wrote: > Hi all. > There's a bug in plot.acf, when plotting acf for multivariate time series. > Here a reproducible example: > > X <- rnorm(1000) > Y <- -X + rnorm(1000, sd=0.6) > Z <- cbind(X,Y) > > In > acf(Z) > cross-correlation plot y-axis is limited to 0-1. But: >

Hi all. I'm not sure I should send this here, but the link to the Italian Traslation Team is dead here: http://developer.r-project.org/TranslationTeams.html I've found an annoying mistake in the italian traslation of a base error message: ## > d <- data.frame(a=1) > d$a <- 1:2 Errore in `$<-.data.frame`(`*tmp*`, "a", value = 1:2) : dati sostitutivi con %righe, i

I've enconuntered this problem with the last cran version of geoR: > library(geoR) > day <- rep(1:2, each=5) > coords <- matrix(rep(runif(10),2), 10, 2) > data <- rnorm(10) > data[1] <- NA > as.geodata(cbind(coords, data, day), realisations=4) as.geodata: 1 points removed due to NA in the data Errore in as.geodata(cbind(coords, data, day), realisations = 4) :

This code gives an error: a <- ts(1:10, start=0, freq=10) b <- ts(1:10, start=1, freq=10) ts.intersect(a,b) This one works normally (and correctly): a <- ts(1:10, start=0) b <- ts(1:10, start=1) ts.intersect(a,b) Antonio, Fabio Di Narzo. P.S. How to switch off italian error messages to post on r-help? > version _ platform i386-pc-mingw32 arch i386 os

Full_Name: Antonio, Fabio Di Narzo Version: 2.6.1 OS: linux Submission from: (NULL) (213.140.16.187) In 'outer' man page, there is no mention of the Vectorize function. Moreover, I think it isn't underlined enough that the FUN argument to 'outer' must be a vectorized function (doc speaks about a function which has to 'operate elementwise'). A cross-reference from

Dear list, I've noticed that, when writing examples in an Rd file, you need to escape the '%' character, even if it is valid R code. I can see maybe this is the intended behaviour, but I found it a bit surprising, and leads to cryptic error messages from 'R CMD check'. The relevant section in the "writing R extensions" manual isn't clear on that point either. To

Hi all. Currently, if you try: > lag.plot(1:10) you get superposed labels '1' and '10'. Things go worse in more extreme cases: x <- ts(1:10) x1 <- lag(x, 4) plot(x1, x) This is due to a mistake in plot.ts. My suggestion is the following really minimal patch to plot.ts: @@ -530,7 +530,7 @@ plot.ts <- text(xy, labels =

Hi all. A statistical question. I have to estimate the variance of the sum: X(1) + X(2) + ...+ X(n) from an observed sample, where X(i) are *correlated* and not necessarly identically distributed. Someone can suggest a simple strategy (I hope by exploiting some already present R package) for obtaining such estimate from an observed vector X[1:n]? Tnx all, Antonio, Fabio Di Narzo.

Dear all, I'm indirectly faced with the fact that setting the 'tsp' attribute of an object modifies its class definition: > class( structure(1:2, tsp=c(1,2,1), class=c("myts","ts")) ) [1] "ts" "myts" In general, this is of really little (ok, I admit: totally no) interest for me because 'myts' class is added just after assigning the