similar to: appending variable's values in table like fashion

Greetings. I'm getting started learning R, and I'm trying to reproduce some models I've done previously in SAS. I'm trying to fit simple Poisson regressions, and I keep getting impossible results: the models predict negative numbers of cases for many observations. The code for the models are: Female.model <- glm(Observed ~ Black + Other, family = poisson(link=log),

Hello, I have been struggling to get fixtures to work here with no success. They just Do Not Work For Me (tm). I have created a model named Headline with the `generate'' script and modified the test/fixtumes/headlines.yml as follows ---------- gita: id: 1 author: raulseixas title: gita happened_at: 2005-01-01 00:00:00 description: gita This is the CD reissue of

Hi I have generate two variable with uniform disrtribution A and B and I want to calculate the number of cases where B<A^2 So I done it by sum(B<A^2), but I'm not sure if there is anther way to calculate the number of cases in the distribution or what I have done is fine thanks for helping me Woo -- View this message in context:

Hello list, i have one question related to call forwarding. i have 2 number for the inbound and i want to configure asterisk like that. When the customer call the first number 0522XXXXXX the call will be forwarding automatically to anther number 0520xxxxxx Does anybody have a solution to this problem. Thanks and Regards. -------------- next part -------------- An HTML attachment was

Hello£¬experts I am working on a simulation of effect of artificial selection on certain population in Animal Breeding.I am new beginner in coding. I have already build a matrix A(500*500) based on this code A<-matrix(,500,500) for(i in 1:500){ for(j in 1:500){ ifelse(i==j,A[i,j]<-1,A[i,j]<-0) } } and I need to caculate A2 base on A and X1(4500*4500).Here are the codes

hi there :) the code in util.c seems to have some bugs w/regard to compilation on 64-bit machines. in this case, the hardware is an Alpha running redhat 4.2 with pam turned off in the makefile. i get a whole series of errors, all of which say "passing arg 'n' of 'function' from incompatible pointer type. in util.c, checked out of the main branch the day before yesterday,

Hello I can construct a correlation matrix from an (ordered) vector of correlation coefficients as follows: x <- c(0.1,0.2,0.3,0.4,0.5) n <- length(x) cmat <- diag(rep(0.5,n)) cmat[lower.tri(cmat,diag=0)] <- x cmat <- cmat+t(cmat) But how to do the reverse operation, i.e. produce x from cmat? Thanks for help, Serguei Kaniovski [[alternative HTML version deleted]]

Dear All, I have six different campaign and 5 different agent have login on that campaign.*Same thing i have done using agi and database,i never use queue management on this scenario. Agent** can also shuffling one campaign to anther campaign. * Now i want to do some work with queue.I want to use single queue to managing this. Eg: campaign Agent Login A a_1,a_3

On Tue, 2020-09-22 at 09:03 +0100, Rowland penny via samba wrote: > > I think the idea was that it was easier to maintain the pages if they > > were on separate pages and could be linked to, problem is,as you have > > found, it doesn't make the wiki easy to use and readers of the wiki do > > tend to miss hyperlinks. There is a really useful feature allowing a

Hello, I would like to try to fit a GEE with user-specified link function. I read through a couple of thread on the list, for example http://tolstoy.newcastle.edu.au/R/help/04/12/9768.html#start and http://tolstoy.newcastle.edu.au/R/help/06/04/25298.html. I noticed that they are all 6 or more years old and the answer is very clear for GLM, however for GEE I am still not sure. There are two

printCoefmat(signif.legend =FALSE) does not work properly. The option "signif.legend = FALSE" is ignored as shown in the example below. cmat <- cbind(rnorm(3, 10), sqrt(rchisq(3, 12))) cmat <- cbind(cmat, cmat[,1]/cmat[,2]) cmat <- cbind(cmat, 2*pnorm(-cmat[,3])) colnames(cmat) <- c("Estimate", "Std.Err", "Z value", "Pr(>z)") #

is have vector from table stored in s variable > s [1] R P Y A C P V E S C D R R F S R S A D L T R H I R I Levels: A C D E F G H I K L M N P Q R S T V Y -- View this message in context: http://r.789695.n4.nabble.com/want-to-drop-levels-of-table-vector-join-two-vector-appending-tp4356851p4356851.html Sent from the R help mailing list archive at Nabble.com.

Greetings. I'm trying to recreate in R some regression models I've done in SAS, but I'm not getting the same results. My advisor suspects this may be due to differences in precision between R and SAS. Does anyone know where I can find specifications for R's type double? (It doesn't seem to be in the R Language Definition.) Thanks in advance for any help anyone can

Hi. I was not able to find any notice of this issue in either the forums or bugzilla (http://bugs.opencompositing.org/) (is that still used btw) so I am posting it here in the hope that it is useful to someone. I am using gentoo and gnome 2.20 and the compiz version from git sources. When I maximize (vertically, horizontally, both) a gnome-terminal window the contents of the terminal window

I'm using R 1.7.1 under linux redhat it seems that the eigen values produced by eigen() do not follow a consistant order; I mean either ascending or discending e.g for one system: eigenV<-eigen(V) > print(eigenV$values) [1] -7.706828e+13 -4.702980e+13 -3.267579e+13 -1.701297e+13 -8.041677e+12 [6] -5.707311e+12 -5.053941e+12 -4.774652e+12 -4.280423e+12 -3.798905e+12

I have a T3 coming from my carrier. From there I want to use an Adtran mx2800 T1 Mux to break the T3 into 28 T1/PRI which feed into seven quad T1/PRI equipped servers. Everything seems very straight forward with the exception of the D channels for the T1/PRI. I am not very familiar with large circuits such as T3s. I know that I can use one D channel per set of quad port on each server. So if

On Fri, 2019-05-31 at 11:00 +0100, Rowland penny wrote: > On 31/05/2019 10:55, Andrew Bartlett wrote: > > On Fri, 2019-05-31 at 10:46 +0100, Rowland penny via samba wrote: > > > As far as I am aware 2012 is planned for 4.11 (but as I am sure you are > > > aware, plans can change), after that I am sure that 2016 will be added > > > as soon as possible. > >

I try to code the ULS factor analysis descrbied in ftp://ftp.spss.com/pub/spss/statistics/spss/algorithms/ factor.pdf # see PP5-6 factanal.fit.uls <- function(cmat, factors, start=NULL, lower = 0.005, control = NULL, ...) { FAfn <- function(Psi, S, q) { Sstar <- S - diag(Psi) E <- eigen(Sstar, symmetric = TRUE, only.values = TRUE) e <- E$values[-(1:q)] e <-

----- Original Message ---- > From: Jason Todd Slack-Moehrle <mailinglists at mailnewsrss.com> > To: llvmdev at cs.uiuc.edu > Sent: Sunday, June 14, 2009 8:09:03 PM > Subject: [LLVMdev] Some understanding of LLVM vs gCC vs Intel C++ Compilers > > Hi All, Hello Jason, > I know that it is a C/C++ Compiler, but how do I use it? Is it > Makefile based? > Wrong.

Hi, In the data below, "case" represents cases, "x" binary states. Each "case" has exactly 9 "x", ie is a binary vector of length 9. There are 2^9=512 possible combinations of binary states in a given "case", ie 512 possible vectors. I generate these in the order of the decimals the vectors represent, as: