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Dear R communtiy, I do not understand why this does not work...: > betaS$SBP [1] 0.03274 -0.04216 -0.08986 -0.45980 0.60320 -0.63070 -0.05682 0.20130 > t<-c("betaS$SBP") > t [1] "betaS$SBP" > get(t) Error in get(t) : object 'betaS$SBP' not found [I am trying to us...

...nline) reference for more on this issue. As a side question, it would be great also if someone with more experience on this matter could confirm with me that the proper direction for checking whether "the y(t) = a/(1 +b*t) form models more precisely the behavior of downloads of files in this communtiy" by quantifying for how many files it outperforms the exponential model. thank you very much in advance, Nazareno [[alternative HTML version deleted]]

...ultys config. and some explanation. 6-) Absurd question perhaps but i was just thinking if this is a possibility : My number ( PSTN ) is 5678 ..now if someone dials 56789056 will i get the call ? can i get 9056 as extension. Lots of questions...new here and would be grateful if someone from the communtiy could anser them thanks niko _________________________________________________________________ Studies, career, romance. Whatever your concerns. http://www.astroyogi.com/newMSN/ We have the answers.

Online Rails App that converts text into musical compositions thought the communtiy might be interested in this application http://www.literature2music.com/ --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Ruby on Rails: Talk" group. To post to this group, send email to rubyonrails-talk-/JYP...

Hello, Sorry for the offtopic subject, but I tried asking this on some Apple mailing lists and could not find an answer there, and as it's related to imap (provided by dovecot), someone might know something about this. The problem is the following: I have a local IMAP server provided by dovecot, so that I can store my mail in maildir format, and read it both using mutt and Apple

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