similar to: optimization with Sparse matrices

To whom it may concern, I seem to be encountering RAM problems using R. I am currently running R 2.2.0 in Windows XP version 2002. My computer has 4 GB of RAM. The problem I am encountering is that R does not seem to allow me to obtain more than 1.5GB of RAM as I construct various matrices. I have already pre-allocated 3.5 GB of RAM as in the command line I entered under

Hi, I'm slowly working through Tsay's "Analysis of Financial Time Series" 3rd ed. ?I'm trying to replicate Table 2.1 on p.47, which gives PACF, AIC, and BIC for the monthly simple returns of the CRSP value-weighted index. The data: http://faculty.chicagobooth.edu/ruey.tsay/teaching/fts3/m-ibm3dx2608.txt > da <-

# HG changeset patch # User Lutz.Dube # Node ID ca2c8c262dbaa6b2521cec60af7cd688dabdf850 # Parent 8992134dcfd0b9e1e86f4111e68a8aa48bd33c3c Values of cpu_weight and cpu_cap are lost after xend restart For managed domains in state ''halted'' I always get default values for cpu_cap / cpu_weight after xend restart. This is because the names of parameters differ between a SXP file to

Hi everyone- I have a dataset with multiple "pre" and "post" variables I want to compare. The variables are named "apple_pre" or "pre_banana" with the corresponding post variables named "apple_post" or "post_banana". The variables are in no particular order. apple_pre orange_pre orange_post pre_banana apple_post post_banana person_1

Dear R-users, First, thank you to the developers for the very useful R-library RMySQL. While using this library a recieved an error message: RS-DBI driver: (could not run statement: Too many columns) The statement that generated the error was: dbWriteTable(dbcon, "simdataseries", template, overwrite = TRUE, row.names = FALSE ) I am assuming this is a RMySQL rather than MySQL limit.

i use tapply and by often, but i always end up banging my head against the wall with the output. is there a simpler way to convert the output of the following tapply to a dataframe or matrix than what i have here: # setup data for tapply dt = data.frame(bucket=rep(1:4,25),val=rnorm(100)) fn = function(x) { ret = c(unname(quantile(x,probs=seq(.25,.75,.25),na.rm=T)),mean(x,na.rm=T)) } a =

The following paper may be of interest to some. The author is generous about sharing a recently revised version. <A HREF="http://papers.ssrn.com/sol3/papers.cfm?abstract_id=259648">http://papers.ssrn.com/sol3/papers.cfm?abstract_id=259648</A> [[alternative HTML version deleted]]

Hi all, I am having a real bizarre problem with Samba 2.2.2 on Solaris 8. I have set up the smb.conf to share all user's home folders, and want to ensure that all dot files are visible. The problem I am having is that the dot files all appear except for one specific one (which happens to be the exact file that is needed!). I can see it when I telnet, but not using Samba. The dot file is a

I can successfully "check" a package with source under 2.5.1, including compiling source files and running examples with no errors or warnings. when I try with R2.6.2, I get make errors: making bayesmc.d from bayesmc.c make[3]:gcc-sjlj: Command not found etc. my gcc is version 3.4.2 I'm using Windows XP. Any thoughts? thanks! peter r ................................ Peter

Hi everyone, In the package POT, there is a function that computes the L-moments of a given sample (samlmu). However, to compute those L-moments, one needs to obtain the total number of combinations between two numbers, which, by the way, requires the use of a factorial. See, for example, Hosking (1990 , p. 113). How does the function "samlmu" in the package POT avoids overflows? I

Folks- I have developed a package which I am planning on posting to CRAN. I include examples for each of the 40 or so functions in the package. However, since the examples are non-trivial and the package is using MCMC simulation methods, it takes about 20 minutes to run the complete set of examples on a 2.8 Ghz windows PC. The R process reaches a high water mark of about 100 MB of memory as

I just started learning to use Samba. I just have the default shares it starts with. When I try to access them I can only use the ROOT account to do it. How can I use my normal account, that I have on the system, to access my shares from another networked computer? The other computer is running Windows XP and I setup shares on there as well. When I browse for host I can see it but it wont

On Mon, Apr 13, 2009 at 12:41 PM, Dan Dube <ddube-at-advisen.com> wrote: > i use tapply and by often, but i always end up banging my head against > the wall with the output. The proposed solution of Dan's problem posted on R-help was: > do.call(rbind,a) When I use this 'solution' I get 'ERROR: second argument must be a list'. So head on wall continues. My

Hi I try to read Aremos files but with any succes, could you help me please. Thanks Eric Dubé Éric Dubé Économiste / Economist Groupe économie et stratégie (dép. 657) / Economic & Strategy Team (Dept. 657) Financière Banque Nationale / National Bank Financial 1155 Metcalfe 5e étage / 5th floor Montréal H3B 4S9 (514) 879-2579 eric.dube@fbn.ca

hello, i have been trying to convert my data frames to matrices in the hopes of speeding up some of my more complicated scripts. to assist with this, i am trying to create a "matrix column operator" like $: "%$%" = function(data,field) { as.numeric(data[,grep(field,unlist(dimnames(data)[2]))]) } the idea here is that you can use a matrix like a dataframe:

Dear r-help- >From reading the CRAN web page, it appears that you should not submit precompiled binary versions of your package, but rather that these are built for you by someone working with CRAN. I submitted my package using R CMD build but without the binary flag on. I'd like to have a binary version available for Windows users. Should I submit a precompiled binary version as well?

We are pleased to announce the release of version 0.0 of bayesm on CRAN. bayesm covers many important models used in marketing and micro-econometrics applications. The package includes: Bayes Regression (univariate or multivariate dep var) Multinomial Logit Multinomial and Multivariate Probit Multivariate Mixtures of Normals Hierarchical Linear Models with a normal prior and covariates

We are pleased to announce the release of version 0.0 of bayesm on CRAN. bayesm covers many important models used in marketing and micro-econometrics applications. The package includes: Bayes Regression (univariate or multivariate dep var) Multinomial Logit Multinomial and Multivariate Probit Multivariate Mixtures of Normals Hierarchical Linear Models with a normal prior and covariates

Folks- a patch release of bayesm, v0.0-1, is now available on CRAN. This release corrects some errors in the help pages as well as one error in the function rhierLinearModel involving an incorrect default prior setting. peter ................................ Peter E. Rossi Joseph T. and Bernice S. Lewis Professor of Marketing and Statistics Editor, Quantitative Marketing and Economics Rm

Version 1.0-1 of bayesm is now available on CRAN. This is our first "production" version which include s much improved documentation as well as five data sets used in our book, Bayesian Statistics and Marketing. peter r ................................ Peter E. Rossi Joseph T. and Bernice S. Lewis Professor of Marketing and Statistics Editor, Quantitative Marketing and Economics