search for: afirmatively

Displaying 5 results from an estimated 5 matches for "afirmatively".

Did you mean: affirmatively
2001 Dec 20
2
R for solaris
Dear members in the group. I am trying to start using R. The unix systme we have in my university is solaris 7. Is there a version of R for Solaris 7?. If afirmative where could I get it? Thanks in advance. Jose A. Farfan -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send
2006 Sep 19
5
VT 64bit kernel with >4Gb RAM
Hi there, I have the lucky task to setup a Xen system. my plateform is a dell 2950 with 16Gb of RAM. I got as far as setting up debian sarge and xen following http://www.debian-administration.org/articles/423 and overcoming some specific difficulties (http://kmuto.jp/b.cgi/debian/d-i-2615.htm & http://wiki.ncsa.uiuc.edu/wiki/Dell_PE1950_NIC_Firmware_Workaround) But, my concern now, while
2009 May 09
1
determination of where a call is placed from (physical location)
...ss such as one party notification vs 2 party notification requirements which depend upon the physical endpoints of a call. If I wish to discretely record all incoming calls except those calling from a place requiring 2 party notification (thus avoiding the need for an overt announcement) How can I afirmatively determine the physical location of the party originating the call and thus the applicable legal jurisdiction. Eric Fort
2007 May 14
13
Multihome load balancing - kernel vs netfilter
Hi, I have searched the archives on the topic, and it seems that the list gurus favor load balancing to be done in the kernel as opposed to other means. I have been using a home-grown approach, which splits traffic based on `-m statistic --mode random --probability X`, then CONNMARKs the individual connections and the kernel happily routes them. I understand that for > 2 links it will become
2009 Jun 25
1
interaction terms formula error
Hi, I'm trying to fit a binary logistic regression model, and would like to consider certain characteristics B and C only for people with variable A=1 and not for those with variable A=0, so I'm trying to do the following: model<- lrm(formula= y ~ A: (B+C) + D + E +...) I've had no problem with adding interaction terms using " * ", but every time I try to use