search for: convariance

Hi, I am using dlda algorithm from supclust package and I am wondering if the output can be a continuous probability instead of discrete class label (zero or one) since it puts some restriction on convariance matrix, compared with lda, while the latter can. thanks, -- Weiwei Shi, Ph.D Research Scientist GeneGO, Inc. "Did you always know?" "No, I did not. But I believed..." ---Matrix III

...: library(leaps) subsets<-regsubsets(logcount~.,data=environment,nvmax=10,nbest=2,really.big=FALSE,method="exhaustive") ###the subset regression runs fine when i run it as above and i can get all the usual summaries ###The problem comes when i try and get it to output the variance convariance matric by adding the option vcov=TRUE ##When I do that i get the following: subsets<-regsubsets(logcount~.,data=environment,nvmax=10,nbest=2,really.big=FALSE,method="exhaustive",vcov=TRUE) Error in model.frame.default(data = environment, vcov = TRUE, formula = logcount~ : variabl...

I have run the following logistic regression model: options(contrasts=c("contr.treatment", "contr.poly")) m <- glm(wolf.cross ~ null.cross + feature, family = "binomial") where: wolf.cross = likelihood of wolves crossing a linear feature null.cross = proportion of random paths that crossed a linear feature feature = CATEGORY of linear feature with 5 levels:

...com> > Content-Type: text/plain; charset=ISO-8859-1; format=flowed > > Hi, > > I am using dlda algorithm from supclust package and I am wondering if > the output can be a continuous probability instead of discrete class > label (zero or one) since it puts some restriction on convariance > matrix, compared with lda, while the latter can. > > thanks, > > -- > Weiwei Shi, Ph.D > Research Scientist > GeneGO, Inc. > > "Did you always know?" > "No, I did not. But I believed..." > ---Matrix III > > > > ------------------...