search for: seligman

This works, where zz is a dataframe: for(i in 1:nrow(zz)) { zzz[i,1]<-paste(zz[i,1],zz[i,2],sep="_") } I would like to use "apply" to concatentate two columns of text along with a separator. How? Chet [[alternative HTML version deleted]]

This doesn't work, what should I do? sudo apt-get install r-base [sudo] password for cseligman: Reading package lists... Done Building dependency tree Reading state information... Done r-base is already the newest version. 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. Also: > .libPaths() [1] "/export/home/cseligman/local/library/R" [2] "/usr/local/lib/R/s...

...FSD SYSLOG+WALL+EXEC NOTIFYFLAG COMMOK SYSLOG NOTIFYFLAG COMMBAD SYSLOG NOTIFYFLAG SHUTDOWN SYSLOG+WALL+EXEC NOTIFYFLAG REPLBATT SYSLOG+WALL+EXEC NOTIFYFLAG NOCOMM SYSLOG NOTIFYFLAG NOPARENT SYSLOG+WALL RBWARNTIME 43200 NOCOMMWARNTIME 300 FINALDELAY 5 -- Bill Seligman | Phone: (914) 591-2823 Nevis Labs, Columbia Univ | mailto://seligman at nevis.columbia.edu PO Box 137 | Irvington NY 10533 USA | http://www.nevis.columbia.edu/~seligman/ -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Typ...

...tter abbreviations of country names). I've tried the pch argument and this, of course, only produces 1-character strings. Looking through Intro to R and the reference manual, I can't find any obvious way around this. Would anyone have any suggestions? Thanks so much! -Ben -- Benjamin Seligman Stanford University, School of Medicine MD Candidate, SMS II [[alternative HTML version deleted]]

Hello All, I'm deploying NUT in a data center and I'm curious to know how others have gone about staging the shutdown of various systems. The systems are broken down into groups of importance, group1 being the most important group4 being the least. In the event of an outage take down group4 after 5 minutes, group3 after 10 minutes, group2 after 15, and finally group4 after 20. I've

...Peter Carl, Jon Cornelissen, Dirk Eddelbuettel, Robert Grossman, Saptarshi Guha, Mike Kane, Ruud Koning, Bryan Lewis, Wei-han Liu, James "JD" Long, Brian Peterson, Soren MacBeth, Khanh Nguyen, Michael North, Stefan Theussl, Josh Ulrich, Tony Plate, Jeff Ryan, Mark Seligman, David Smith, and Eric Zivot. Also offered are four optional pre-conference tutorials: Josh Buckner & Mark Seligman GPU Programming with R - An Introduction To GPU Programming with R Peter Carl & Brian Peterson...

...ons (also available at http://www.RinFinance.com): Friday, April 16th, 2010 ------ Tutorials: Dirk Eddelbuettel: Rcpp/RInside and How to Extend R with C++ Jeff Ryan Trading with R Peter Carl/Brian Peterson: Complex Portfolio Optimization with General Business Objectives Josh Buckner/Mark Seligman: GPU Programming with R *Achim Zeileis: Testing, Monitoring and Dating Structural Change in FX Regimes David Smith: Analysing Large-Scale Financial Data Sets in R Tony Plate: Mean-variance Portfolio Optimization: Do Historical Correlations Help or Hinder Risk Control in a Crisis? *Ralph Vince/So...

I've noticed that the implementation of Kendall's Tau in R is O(N^2). The following reference describes how it can be done in O(N log N): A Computer Method for Calculating Kendall's Tau with Ungrouped Data William R. Knight Journal of the American Statistical Association, Vol. 61, No. 314, Part 1 (Jun., 1966), pp. 436-439 http://www.jstor.org/pss/2282833 I'm interested in

hi, I have a dataset (the netflix dataset) which is basically ~18k columns and well variable number of rows but let's assume 25 thousand for now. The dataset is very sparse. I was wondering how to do kmeans/nearest neighbors or kernel density estimation on it. I tired using the spMatrix function in "Matrix" package. I think I'm able to create the matrix but as soon as I pass