similar to: R on Linux 64-bit

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 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 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]]

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

I have some code in Fortran-90 that outperforms my R implementation of the same algorithm (in terms of speed). I wonder whether it is possible to interface R with Fortran-90. that is would like to call a Fortran routine from my R script, passing to the Fortran routine some real numbers array, some scalar real numbers, and an integer number . I have no idea how to do that because Fortran is a

Unluckily I dela with miRNA files whose name may contain the character "*". Because of the special meaning of "*" I have to remove it. I found out how to make list.files() extract only those file names which contain a "*" Namely: # list.files(pattern="\\*") Now I have to process all files whose name does NOT contain the character "*". I cannot

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

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 have a loop that processes all the raw data files in agiven directory. It should allocate only the memory to accomodate the filenames list. Each file is loaded into RAM one at a time and saved to another directory after processing. The R script runs fine but it had some memory problems so it was terminated before getting to the end of the list. This is a Windows XP desktop with ~ 1GB RAM In the

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

In R version 2.6.1 (2007-11-26) and R version 2.6.1 Patched (2008-01-19 r44061) on openSUSE 10.2 (X86-64) > gctorture() > proc.time() Error: protect(): protection stack overflow The problem with this is that then R CMD check --use-gct foo ALWAYS FAILS with > cat("Time elapsed: ", proc.time() - get("ptime", pos = 'CheckExEnv'),"\n") Error in

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

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 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

Full_Name: Hendrik Weisser Version: 2.6.1 OS: Linux Submission from: (NULL) (139.19.102.218) The following computation never finishes and locks R up: > values <- list(x=10:30, y=c(23.85, 28.805, 28.195, 26.23, 25.005, 20.475, 17.33, 14.97, 11.765, 8.857, 5.3725, 5.16, 4.2105, 2.929, 2.174, 1.25, 1.0255, 0.612, 0.556, 0.4025, 0.173)) > y.max <- max(values$y) > model <- nls(y ~

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

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>

Full_Name: Lodewijk Bonebakker Version: v2.6.2 OS: Solaris, x86, snv_80 Submission from: (NULL) (192.18.43.225) when I build R in 32-bit mode on my 64-bit OS, R works as expected: R version 2.6.2 (2008-02-08) ... Type 'q()' to quit R. > m <- matrix(ncol=2,c(1:6)) > > m [,1] [,2] [1,] 1 4 [2,] 2 5 [3,] 3 6 > n <- log10(m) > n [,1]

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),