similar to: A QUESTION ABOUT TIME SERIES

Dear Sirs, My name is Marcelo Grimaldi and I work for GE Lighting Brazil in Six Sigma Program. In order to accomplish a statistical project I need to generate exact tables for the Kruskal-Wallis statistic ("Three or More Populations Location Test") and I wonder if R could help me. In the past I have heard of generating tables for Wilcoxon statistic using R. Could you help me ? Thank

Dear R users Is there a function in R to make a peridogram for a spectral analysis of unevenlly sampled data?? something like spec.lomb() for S-Plus?? How to plot a vector with unequally spaced time series?? e.g day/month/year V1 03/08/82 0.34 28/08/82 1.42 12/09/82 0.28 20/09/82 0.56 03/10/82 0.85 21/10/82 1.45 thanks -- Marcelo Alexandre Bruno - Pos-graduacao Oceanografia Biologica

Package: xen-utils-3.0.3-1 Version: 3.0.3-0-4 Severity: important # /etc/init.d/xend start Restarting XEN control daemon: xendTraceback (most recent call last): File "/usr/lib/xen-3.0.3-1/bin/xend", line 40, in <module> from xen.xend.server import SrvDaemon File "/usr/lib/xen-3.0.3-1/lib/python/xen/xend/server/SrvDaemon.py", line 17, in <module> import

Hello, I'm an absolute beginner with R and neophite in data analysis, so please bear with me if I ask stupid question. I'm trying to do a correspondence analysis using R and MASS corresp function, but I get an error message which I'm unable to interpret: > data(weblog) > library(MASS) > corresp(~ url + fromurl, data=weblog) Error in svd(t(t(x1 * Dr) * Dc)) : error 306 in

Hi, I am pretty new to R and I would apreciatte very much your help to solve my problem. I have 40 csv files that have the same structure, and I want to merge them into a single data frame. I already have load and combined all the cvs files into a large list, and I created two filenames <- list.files('data',full.names=TRUE) All_data <- lapply(filenames,function(i){ ###read cvs

Hi, I have the following (probably trivial) problem: I am running a Windows 95 System and have setted the environment variables R_HOME and especillay R_USER in the autoexec.bat. The idea was, to invoke R at the startup to read in the files .Renviron and .Rprofile from my home directory, even when the current working directory is somewhere else. Subject to the manual it should work, but it does

I am with problems to logon WindowsXP SP2 in the samba. I have the fofollowing packages installed in machine. (Fedora Core 3 kernel 2.6.10-1.741) system-config-samba-1.2.26-0.fc3.1 samba-common-3.0.10-1.fc3 samba-3.0.10-1.fc3 samba-swat-3.0.10-1.fc3 samba-client-3.0.10-1.fc3 The samba shares files with Windows machine normally,using ldap. I follow the steps to logon in the domain the windows

Dear R Community, I am currently student at the Vienna University of Technology writing my Diploma thesis on causality in time series and doing some analyses of time series in R. I have the following questions: (1) Is there a function in R to estimate the PARTIAL spectral coherence of a multivariate time series? If yes, how does this work? Is there an test in R if the partial spectral

Dear list, i would like to build an own package using: R CMD INSTALL --html --build --auto-zip -l folder spectral.methods it seems to succeed as I get the following messages: * installing *source* package 'spectral.methods' ... ** R ** data Warning: empty 'data' directory ** preparing package for lazy loading ** help *** installing help indices converting help for package

Hi, I'm new to R and looking for a way to use a variable to reference to an object. I'm plotting several graphs on top of each other and want to do this by a for loop. The field I want to graph have names like a1,a2,a3, ... I can't figure out how to get this working: It should look like this: lines(spectral$Wavelength,paste("spectral$a",j,sep=""),col=j) but

I used the AR modelling written for R (S) on blood pressure and heart rate signals. I used 60 one second samples and a model order of 20. I used the "ar" finction in the "ts" package. Given that blood pressure is measured in mmHg would the spectral density (on the graph displayed be [mmHg]sq/Hz ? And the heart rate is measured in Beats Per Minute (bpm) - so would the

I found this sentence in the Ogg format specs: http://www.xiph.org/ogg/vorbis/doc/vorbis-spec-res.html "A residue vector may represent spectral lines, spectral magnitude, spectral phase or hybrids as mixed by channel coupling." But where does the spectral phase information come from ? AFAIK MDCT doesn't provide any phase information. And in OGG-encoding, MDCT is taking place a few

Hi all, I am dealing with paleoceanographic data and I have a C14 time serie and one other variable. I would like to perform a spectral analysis (fft or wavelet) and plot it. Unfortunately I don't know the exact script to do this. Does anybody could send me an example to perform my spectral analysis ? I Thank you David Changez de tête et de tenue tous les jours si vous le voulez !

I have re-built all the compiled packages for R 1.2.0 for Windows, and the set available in CRAN/bin/windows/contrib are now for rw1020. If you are upgrading to rw1020, please replace all the compiled packages you have downloaded by ones from this set. There a few packages available for the first time: RMySQL mlbench netCDF and a few that are not yet running on 1.2.0 on any platform hdf5

I have re-built all the compiled packages for R 1.2.0 for Windows, and the set available in CRAN/bin/windows/contrib are now for rw1020. If you are upgrading to rw1020, please replace all the compiled packages you have downloaded by ones from this set. There a few packages available for the first time: RMySQL mlbench netCDF and a few that are not yet running on 1.2.0 on any platform hdf5

I compared quicktime aac and vorbis,i think quicktime aac is better than vorbis at 80Kbps. please tell me if i'm wrong. using command: qtaacenc.exe --tvbr 31 --highest --samplerate keep test.wav qt.m4a oggenc2.exe --raw -q 1.6 test.wav -o vorbis.ogg the version: qtaacenc version 20100725 with QuickTime 7.6.7 OggEnc v2.87 (libvorbis 1.3.1) links:

Can someone explain me this spec.pgram effect? Code: period.6<-c(0,0,0,0,0,10,0,0,0,0,0,10,0,0,0,0,0,10,0,0,0,0,0,10,0,0,0,0,0,10 ,0,0,0,0,0,10,0,0,0,0,0,10,0,0,0,0,0,10,0,0,0,0,0,10,0,0,0,0,0,10) period.5<-c(0,0,0,0,0,10,0,0,0,0,10,0,0,0,0,0,0,10,0,0,0,0,10,0,0,0,0,0,0,10 ,0,0,0,0,10,0,0,0,0,0,0,10,0,0,0,0,10,0,0,0,0,0,0,10,0,0,0,0,10,0) par(mfrow=c(2,1))

Dear collegues, I´ ve worked with near infrared (NIR) spectroscopy to assess chemical, physical, mechanical and anatomical properties of wood. I use "The Unscrambler" software to correlate the matrix of dependent variables (Y) with the matrix of spectral data (X) and I would like to migrate to R. The matrix of spectral variables is very large (2345 columns and n lines, where n =

I have done a fair bit of spectral analysis, and hadn't finished collecting my thoughts for a reply, so hadn't replied yet. What exactly do you mean by normalize? I have not used the functons periodogram or spectrum, however from the description for periodogram it appears that it returns the spectral density, which is already normalized by frequency, so you don't have to worry about

All, I am working with NIR spectral data and it was great to find that the example in ?plsr also used spectral data. Unfortunately, I am having difficulty figuring out how the "yarn" dataset is structured to allow for the plsr model to read: library(pls) data(yard) yarn.oscorespls <- mvr(density ~ NIR, 6, data = yarn, validation = "CV", method = "oscorespls")