similar to: Uploading CSV file into R

All: Yesterday I discovered something interesting. I dialed 1800ANCESTRY from the asterisk system I am testing and got the number doesn't exist message. I then dialed the same number from our old system and it went through. I realized that the "Y" in ancestry made the number too long, and went back to my dialplan. How do I ignore numbers that are too long? Obviously,

Hi Reid, > Jeff, can you provide a test case that we can use to > reproduce this problem? Looks like I'm finally going to > force myself into a windows build (i.e. cough up the money > for VC++ 7.1). You can also download MS Visual C++ Toolkit 2003 - contains the VC++ 7.1 compiler/linker as well as all the standard libraries and headers. No gui, no debugger though:

SLES 9 Service Pack 2 Samba 3.0.14 We are currently experiencing an issue with multiple smbd processes spawning. Do you have any suggestions as how to alleviate this condition or patch this problem? Or is this a configuration issues? Thanks, Mark Naumowicz IT Administrator The Equitable Trust Company 30 St. Clair Ave. West Suite 700 Toronto, Ont. M4V 3A1 416-515-7000 xt365

Thanks! That helps! Reid. On Thu, 2004-12-23 at 12:07, Oleg Smolsky wrote: > Hi Reid, > > > Jeff, can you provide a test case that we can use to > > reproduce this problem? Looks like I'm finally going to > > force myself into a windows build (i.e. cough up the money > > for VC++ 7.1). > You can also download MS Visual C++ Toolkit 2003 - contains the

Hello kind and R-knowledgeable souls! I am trying to use read.fortran to read in old datasets in 80-column-card format with no separators between variables (just 80 columns of solid digits). I comprehend the instructions for specifying the columns for each variable, but I can't understand how to assign the variable names after reading the help pages for read.fortran, read.fwf and

Dear R-help community, Does anybody know of a stats function in R that tells you which distribution best fits your data? I have tried look through the archives but have only found functions that tell you if it's normal or log etc. specifically - I am looking for a function that tells you (given a timeseries) what the distribution is. Any help/advice will be greatly appreciated, All the

Hi, I'm actually trying to rank a set of candidate models with an information criterion (AICc, QIC, BIC). The problem I have is that I use mixed-effect cox regression only available with the package {coxme} (see the example below). #Model1 >spring.cox <- coxme (Surv(start, stop, Real_rand) ~ strata(Paired)+R4+R3+R2+(R3|Individual), spring) I've already found some explications in

Dear R Users, May be this message should be directy send to Douglas Bates ... I just want to know if I can use the AIC value given in the output of an lmer model to classify my logistic models. I heard that the AIC value given in GLIMMIX output (SAS) is false because it come from a calculation based on pseudo-likelyhood. Is it the same for lmer ??? thanks, Arnaud Arnaud MOSNIER Biologiste