search for: jekels

Dear R-Fans, The more I work with matrices (e.g., data.frames) the more I think it would be helpful to have functions to apply (several!) mathematical and/or logical operators column- or row-wise in a matrix. I know the function apply() and all its derivates (e.g., lapply) but I think this does not help for solving (e.g.) the following task: assume there is a 3x3 matrix: 1 2 4 4

djekels at citistreetonline.com wrote: > OpenSSH_3.8.1p1, OpenSSL 0.9.7d 17 Mar 2004 > > On HP-UX 11.11 ? sshd runs fine for days, then for some strange reason > we get > > ssh_exchange_identification: Connection closed by remote host What do the server logs say? Does the server have...

Hi R Fans, I stumbled across a strange (I think) bug in R 2.9.1. I have read in a data file with 5934 rows and 9 columns with the commands: daten = data.frame(read.table("C:/fussball.dat",header=TRUE)) Then I needed a subset of the data file: newd = daten[daten[,1]!=daten[,2],] --> two values do not meet the logical specification and are dropped. The strange thing about it:

Dear R Fans, I was recently asking myself how quick R is in code execution. I have been running simulations lately that need quite a time for execution and I was wondering if it is reasonable at all to do more computational extensive projects with R. Of course, it is possible to compare execution time for the same code written in several languages but maybe someone has some experience on the

Hi, I'm new to R and would like to know, how one can populate the list with array data. I'm reading a tab separated table in R. The data in the table looks something like this. #Table Data Comp    A    B    C Extracellular    103    268    535759 Nucleus    45603    47783    442744 #R code myData <- read.table("table.data",                 header=T,