search for: qu2

Hi. Is there a way to get the values predicted from (leave-one-out) cv.glm? It seems like a useful diagnostic to plot observed vs. predicted values. Thanks, Jeff **************************************** Jeffrey A. Stratford, Ph.D. Postdoctoral Associate 331 Funchess Hall Department of Biological Sciences Auburn University Auburn, AL 36849 334-329-9198 FAX 334-844-9234

We have a Linux box that is acting as the gateway to the internet for about 400 people, typically there are not more then 50 of them using the internet at any given time. We would like to provide different levels of access to different users. For example 128kbps to some users and 256kbps to others. We have considered creating a class and qdisc for each user (using htb) however we don''t

Dear friends: It's possible make a legend in the coplot output? My data are: "dados"<-structure (list ( Qu1 = c(1,2,3,4,5,6,7,8,3,2), Qu2 = c(3,4,5,6,7,8,9,9,6,3), Ku1 = structure (factor ( c(1,1,1,1,2,1,2,2,1,1),levels=1:2),.Label=c("Kmin","Kmax")), Ph1 = structure (factor ( c(1,1,3,2,3,3,2,3,2,1),levels=1:3),.Label=c("Pmin","Pmean","Pmax")), Th1 = structure( factor( c(1,1,2,4,3,3,2,...