similar to: Why giving negative density when doing kernel density estimate?

I'm sory for my weak english. I need to analyze this subject : x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 y 0 0 1 0 0 1 0 0 1 0 czarne 1 1 0 0 0 0 1 0 0 0 rude 0 0 1 0 0 1 1 0 0 0 braz 0 0 1 0 1 0 1 0 0 0 blond 1 0 0 0 0 1 0 0 0 1 rude 1 1 0 0 0 0 0 0 0 1 blond 0 0 1 1 0 0 0 0 1 0 czarne 1 0 0 1 0 0 1 0 0 0 blond 0 0 1 0 0 1 1 0 0 0 blond 1 0 0 0 0 1 1 0 0 0 czarne 0 0 1 0 0 1 0 0 0 1 czarne 1 0 1 0 0 0

Hello , I am trying to install an ingress qdisc on a slackware 7 , 2.2.20 box . I have installed iproute2-2.4.7-now-ss010824.tar.gz . I `ve built all the QOS stuff in my kernel . Playing with cbq sfq etc works ok . However when i try to setup ingress i get the infamous RNETLINK message tc qdisc add dev eth0 handle ffff: ingress RTNETLINK answers: No such file or directory Something weird ,

Hello everyone, I try to write a c++ code which calls embedded R and uses some of R internal functions. What I read is just lots of macro names defined in the Rinternals.h or Rdefines like R_Parse, Rf_install and so on. But where can I get the detailed information about the parameters of these macro? For example, what about the parameters of SEXP R_ParseVector(SEXP, int, ParseStatus *)?

Hello You wrote as below in samba-list: Message: 19 Date: Tue, 28 May 2002 22:13:35 -0500 (CDT) From: "Gerald (Jerry) Carter" <jerry@samba.org> To: Carl Vincent <c.a.vincent@ncl.ac.uk> Cc: samba@lists.samba.org Subject: Re: [Samba] Password Length Conundrum On Fri, 24 May 2002, Carl Vincent wrote: > I've jsut installed Samba-2.2.4, from source on a Solaris 2.6 box.

Hi, Suppose i have generated an object using the following : fit <- rpart(Kyphosis ~ Age + Number + Start, data=kyphosis) And when i print fit, i get the following : n= 81 node), split, n, loss, yval, (yprob) * denotes terminal node 1) root 81 17 absent (0.7901235 0.2098765) 2) Start>=8.5 62 6 absent (0.9032258 0.0967742) 4) Start>=14.5 29 0 absent (1.0000000

I am using the package rpart to explore various classification structures. The call looks like: seekhi1<-rpart(pvol~spec+a1+psize+eppres+numpt+icds+bivalcrt+stents+ppshare+ nhosp+nyrs,data=dat,method="class", control=rpart.control(minsplit=30,xval=10)) The output is 1) root 198 87 1 (0.5606061 0.4393939) 2) psize=1,2 122 43 1 (0.6475410 0.3524590)