search for: pujoll

Does anyone use "revision control software" to manage their R-code? Any suggestions? Ideally, I'm looking for a, effective yet easy to implement/maintain package. http://en.wikipedia.org/wiki/Revision_control http://en.wikipedia.org/wiki/Comparison_of_revision_control_software --------------------------------- [[alternative HTML version deleted]]

Is there a recommended/preferred version of Linux for using with R? Is there one version of Linux that R-users prefer, and/or that works "better" with R? I am working with "large" datasets, and hope to take advantage of as much RAM as reasonable (8-32gb?). Thanks in advance! --------------------------------- [[elided Yahoo spam]] [[alternative HTML version

I am using R in a Windows environment. I store my data in a Microsoft SQL database that gets updated automatically nightly. Once my SQL db is updated, I wish to automatically run an R "script" Any tips on "good" ways to approach this task? Is there an easy way to "launch" an R script using the Windows or other "scheduler"? Can I have an R-script run

Please see example code below. I have a vector ("mydata") of length 10. "mydata" can have various formats (e.g. numeric, text, POSIXct, etc) I use the matrix and data.frame functions to convert "mydata" to a dataframe ("mydf") of 2 columns and 5 rows. What is a "good" way to ensure that the format is retained when I create the

...spots from my data (data contains 3 types of bad spots). my experiment contains 12 samples and the bad spot are not associated to the same probes 2) how can I remove control probes from my data ? I'm sorry, i'm new with R and I can't find answer in packages doc. best regards, Claire Pujoll Paris, France library(marray) library(limma) ....... Rawdata <- read.GenePix(targets=Macro_Mono_targets,skip=107) design<- cbind(individual=c(0,0,1,1,2,2,3,3,4,4,5,5), dim1=c(1,0,1,0,1,0,1,0,1,0,1,0),dim2=c(0,1,0,1,0,1,0,1,0,1,0,1)) fit <- lmFit(normdata@maM, design) contrast.matrix&lt...

Thomas, may I also suggest, from the Documentation>Contributed section of CRAN, "Econometrics in R" by Grant Farnsworth http://cran.at.r-project.org/doc/contrib/Farnsworth-EconometricsInR.pdf (see the chapter on Time series) and, in case you can read Italian, "Analisi delle serie storiche con R" by Vito Ricci http://cran.at.r-project.org/doc/contrib/Ricci-ts-italian.pdf

How do I retain "POSIXct" formatting when using apply, with FUN=max? #example: mydata <- rep(Sys.time(), 10) mydf <- data.frame(matrix(data=mydata, nrow=2, ncol=length(mydata) ) ) for(i in seq(mydf))class(mydf[[i]]) <- class(mydata) str(mydf) maxdates <- apply(mydf,2,max,na.rm=T) str(maxdates) #Why is the formattign now "chr", and not

I have a vector that contains month and year in the format YYYYMM (e.g.“200701”, “200702”) I wish to do to things: 1. I need to convert to a date that is the last calendar day of each month. 2. I need to convert this to a date that is the last U.S. stock-exchange trading day of each month. Any advice is appreciated, mymonths <- c(200701, 200702)

R-help users, Thanks in advance for any assistance ... I truly appreciate your expertise. I searched help and could not figure this out, and think you can probably offer some helpful tips. I apologize if I missed something, which I'm sure I probably did. I have data for many "samples". (e.g. 1950, 1951, 1952, etc.) For each "sample", I have many data-frames.

I have a dataframe ("mydf") that contains "differences of means". I wish to test whether these differences are significantly different from zero. Below, I calculate the t-statistic for each column. What is a "good" method to calculate/look-up the p-value for each column? mydf=data.frame(a=c(1,-22,3,-4),b=c(5,-6,-7,9)) mymean=mean(mydf) mysd=sd(mydf)

Is there an "easy" or good way to run/launch an Excel VBA macro from within R? --------------------------------- Pinpoint customers who are looking for what you sell. [[alternative HTML version deleted]]

Is there a recommended or "good" way to check if the evaluation of an expression returns an error? e.g. var(NA) I wish var(NA) to return NA or "err", or some other value, even a text-string, but not an error message. I am using a loop to load many samples of data and to perform analysis on each sample. On occasion, the function I execute returns an

I have a text string "test.a..34" I wish to extract the text that comes after ".." (e.g. "34"), and the text that comes before ".." (e.g. "test.a"). What is a good way to do this? Also, can you help me understand how to use "wildcards" such as "*" with sub, etc? #This seems to work, but I am unclear how it

Does anyone know of a directory that lists consultants with expertise in R, as well as other statistical and computing skills, ideally with geographic location and other pertinent information? If one does not exist, might this be a good resource to create? --------------------------------- You rock. That's why Blockbuster's offering you one month of Blockbuster Total Access, No

I often need to "combine" data frames, sometimes "vertically" and other times "horizontally". When it "better" to use merge? When is it better to use rbind or cbind? Are there clear pros and cons of each approach? --------------------------------- [[alternative HTML version deleted]]

I've read that certain operations performed on a matrix (e.g. ribind, cbind) are often much faster compared to operations performed on a data frame. Other then the "bind functions", what are the main operations that are significantly faster on a a matrix? I know that data frames allow for columnnames and rownames, and that each column in a data frame can have different data types.

I am using RODBC and "odbcConnect". I have successfully used odbcConnect to extract "modest" amounts of data from SQL. For convenience, (and maybe speed?) I wish, if possible, to extract larger amounts of data in a single query. (I am running R2.6.0 under a machine running Windows Small Business Server with 3mb of RAM. I run gc() prior to attempting the query. I have

Ref: 14/F/04 Scientific computing systems administrator - IMPPC - Badalona, Spain Job Overview We are seeking a Linux systems administrator who will be responsible for the management of a scientific computing facility that includes a 100 core cluster, several servers, workstations, 96 Tb raw disk storage and backup facilities, to provide support to bioinformatics researchers at the Institute of

I am using R2.6.0 on “Windows Small Business Server 2003”. I apologize if the answer to my question is available…I have searched but have not found anything that I thought helped me. I have a dataframe that contains ~4.5 million rows and 5 columns. (see memory and df details below). I am trying to save the dataframe to a MS SQL Server database, using the “sqlSave” function. The code

R-community, Sometime during the next 12-months, I plan on configuring a new computer system on which I will primarily run "R" and a SQL database (Microsoft SQL Server, MySQL, Oracle, etc). My primary goal is to "optimize" the system for R, and for passing data to and from R and the database. I work with large datasets, and therefore I "think" one of my most