similar to: R dynamic memory management

Can R handle graphic text ? I mean something like a pop-up message window or a text widget ? Thank you so much. -- Maura E.M

I saw there exists an R version for Mac/OS. I'd like to hear from someone who is running R on a Mac/OS before venturing on getting the following computer system. I am in the process of choosing a powerful laptop 17" MB PRO 2.6GHZ(dual-core) 4GBRAM .... Thank you so much, -- Maura E.M [[alternative HTML version deleted]]

I tried to install "segmented" from three different repositories but I keep getting the following message on R window: ... Please, advice where to find this package. Thank you in advance. Maura > utils:::menuInstallPkgs() --- Please select a CRAN mirror for use in this session --- Warning: package 'segmented' is in use and will not be installed > utils:::menuInstallPkgs()

I have downloaded the source code for Linux. the ./configure procedure can find gcc but cannot find f77 or f2c I have looked for the above compiler with Test and installed all what pertains to Fortran. Still not even the man pages for f77 anf fc2 work >. Where is f77 and f2c with linux 10.3 ?? Thank you do much -- Maura E.M [[alternative HTML version deleted]]

I recently installed R 2.6 on Linux/SuSE When I was running the previous version on Windows I was able to save my plots from a script. There was a command "savePlot" that is no more retrieved in the last version. In this scenario, how can I tell R to save the currently displayed plot to a file ? The "save" command is generic and do not know how to tell R that the plot is to be

Hi everyone It looks like repeated runs of fastICA produce quite significantly different mixing matrices (not only in terms of sign and row order). I'm not a specialist, so would appreciate any advice on whether this should really be the case: > res3 = > fastICA(af[,2:20],4,alg.typ="parallel",fun="logcosh",alpha=1,method="C",row.norm=TRUE) colstandard >

I am reading the comprehensive on-line documentation about msm. The positive side is that it seems it has been designed for biomedical statistics, like Clinical Trials. The bad side is that it does not seem to model observations sequences that are not independent but instead are autocorrelated, as it is my case. I did not find any mention to correlated observations therefore I assume the authors

I have 316 files. Each file represents a patient's breathing track (respiratory signal recorded for a variable number of cycles). All files have the same are made up of a header followed by a variable number of records. Each record contains 7 comma separated fields. The patient ID is recorder in the header which is stripped off when reading the file into a R data.frame. Since I need to keep

Thank you for your prompt answer. The breathing signal observations are the amplitude values as a function of time and phase. According to our model the hidden states are the different breathing types. Subjects, whose respiratiion process is regular, are likely to breathe, keeping the same cycle pattern/type, for many consecutive cycles. therefore dwelling in the same hidden state. The more

I am reading some documentation about Cross Spectrum Analysis as a technique to compare spectra. My understanding is that it estimates the correlation strength between quasi-periodic structures embedded in two signals. I believe it may be useful for my signals analysis. I was referred to the R functions that implement this type of analysis. I tried all the examples which generated a series of

I tried to use R version of package I noticed the original MatLab Pckage is much better documented. I had a look at the R demo code "gtm_demo" and found that variable Y is used in advanced of being created: I wrote my own few lines as follows: inDir <- "C:/Documents and Settings/Monville/Alanine Dipeptide/DBP1/DHA" setwd(inDir) T <-

I have downloaded and tried to install JGR - Java GUI for R - Version 1.5. I followed all the instructions (at least in my best resolution) and installed Java latest version. R installation complete fine. Has anyone succeded in installing JGR on SuSE 10.3 ? In the following I hade detailed the failed installation, As root /i did the following: linux-Mimin:/usr/local/bin # ./R R version 2.6.0

I'd like to know why I cannot get a plot and the QQnorm in the same sheet. The commands are simple but: library(nlme) glmod1 <- gls(upfmla,correlation=corAR1(),method="ML") summary(glmod1) par(mfrow = c(2,1)) plot(glmod1, main="GLS Residuals vs. GLS Fitted") qqnorm(glmod1) No matter what (I tried different permutations of the plotting commands) the second drawing

I am downloading the latest R source code R-2.6.1.tar.gz I am installing ion a 64-bit machine. Is the configuration script the proper one for 64-bin installation ? I mean the compiler and linker options ..? Thanks you, Maura -- Maura E.M [[alternative HTML version deleted]]

We are trying to build a human respiration model. Preliminary analysis of some breathing signals has shown that humans breathe through switching among a finite number of patterns. Hidden Markov seems to be the right approach. Since most of our code is written in R scripting language, finding an R package implementing an HMM that we can use for our prototype would be very helpful. I have been

I would like to install the package "growth" as it contains the function "corgram" and some other presumably useful stuff for time series analysis. I can see it is in R standard library list: http://hosho.ees.hokudai.ac.jp/~kubo/Rdoc/doc/html/packages.html<http://hosho.ees.hokudai.ac.jp/%7Ekubo/Rdoc/doc/html/packages.html>

Last Friday my computer monitor was messed up by on-line patches update. I had to reinstall everything from the o.s. and all applications on top of it. I have downloaded R source from the official site. I have uncompressed the archive and ran the configure as root in /usr/local/bin. The configuration procedure dies writing: *configure: error: Neither an F77 compiler nor f2c found * but actually

Sorry for my silly questions. I'm a beginner with R and most statistics concepts. I carried out a simple linear regression where the dependent variable is explained through a combination of powers of cos(independent variable). I can see R returned a good R^2 factor (> 0.99) but I have a hard time at interpreting all the other info that R prints out by using summary( regression.results),

I have 316 files storing a number of cycles of the respiratory signal from 316 different patients. Each file record is made up of the following data: amplitude,phase,timestamp,validflag,ttlin,mark,ttlout amplitude: is the position in cm relative to an arbitrary reference (signal amplitude) phase: is the phase value for the current sample (the time point at which the breathing signal was

R printed out the following error messages during the installation of the package "clusterfly": > *install.packages("clusterfly", repos = getOption("repos"),dependencies =TRUE) *--- Please select a CRAN mirror for use in this session --- trying URL ' http://umfragen.sowi.uni-mainz.de/CRAN/bin/windows/contrib/2.5/clusterfly_0.2.2.zip ' Content type