search for: admit

...ot read the code for ftable.formula in any detail. >From reading the documentation for ftable.formula, I expected that the following two calls to ftable would produce the same results: data(UCBAdmissions) ftable(UCBAdmissions, row.vars = "Dept", col.vars = c("Gender", "Admit")) ftable(UCBAdmissions, Gender + Admit ~ Dept) Is this a bug or the intended behavior? I prefer the formula interface, so I would be happiest if the output was the same for the two calls. However, if this is the intended behavior, then I think that the documentation should be clearer on thi...

Dear all, The new version of AdMit (version 1.01-01) is now available from CRAN. SUMMARY The package provides functions to perform the fitting of an adaptive mixture of Student-t distributions to a target density through its kernel function. The mixture approximation can then be used as the importance density in importance samplin...

Dear all, The new version of AdMit (version 1.01-01) is now available from CRAN. SUMMARY The package provides functions to perform the fitting of an adaptive mixture of Student-t distributions to a target density through its kernel function. The mixture approximation can then be used as the importance density in importance samplin...

...ch, of necessity is flattened to a 2D display, for example with ftable(), or vcd::structable, as shown below. I'd be happy to settle for a flexible solution for the 3D case. > UCB <- aperm(UCBAdmissions, c(2, 1, 3)) > ftable(UCB) Dept A B C D E F Gender Admit Male Admitted 512 353 120 138 53 22 Rejected 313 207 205 279 138 351 Female Admitted 89 17 202 131 94 24 Rejected 19 8 391 244 299 317 > structable(Dept ~ Admit+Gender, UCBAdmissions) Dept A B C D E F Admit Gender Ad...

Dear List, I'm having problem with an exercise from The R book (M.J. Crawley) on page 567. Here is the entire code upto the point where I get an error. data(UCBAdmissions) x <- aperm(UCBAdmissions, c(2, 1, 3)) names(dimnames(x)) <- c("Sex", "Admit?", "Department") ftable(x) fourfoldplot(x, margin = 2) dept<-gl(6,4) sex<-gl(2,1,24) admit<-gl(2,2,24) model1<-glm(as.vector(x) ~dept*sex*admit,poisson) This last line returns: Error in family$family : $ operator is invalid for atomic vectors I've searched older po...

Hi everyone, I am trying to build a table putting standard errors horizontally. I haven't been able to do it. library(memisc) berkeley <- aggregate(Table(Admit,Freq)~.,data=UCBAdmissions) berk0 <- glm(cbind(Admitted,Rejected)~1,data=berkeley,family="binomial") berk1 <- glm(cbind(Admitted,Rejected)~Gender,data=berkeley,family="binomial") berk2 <- glm(cbind(Admitted,Rejected)~Gender+Dept,data=berkeley,family="binomial&qu...

Hi everyone, I am trying to build a table putting standard errors horizontally. I haven't been able to do it. library(memisc) berkeley <- aggregate(Table(Admit,Freq)~.,data=UCBAdmissions) berk0 <- glm(cbind(Admitted,Rejected)~1,data=berkeley,family="binomial") berk1 <- glm(cbind(Admitted,Rejected)~Gender,data=berkeley,family="binomial") berk2 <- glm(cbind(Admitted,Rejected)~Gender+Dept,data=berkeley,family="binomial&qu...

I am trying to write the following code in R. The code works in S+ and i am trying to do the program in R. x=discrim(admit~gpa+gmat,prior=c("uniform"),data=data.mm) i wrote the following in R: x=lda(admit~gpa+gmat,data=data.mm) i could not figure out how to write prior=c("uniform") in R. I would get an error every time. I think that it has something to do with "uniform". Do you kno...

...e) to make the woolf-test p.value insignificant? Also in the same package there is an oddsratio function that seems to be calculating the odds ratio even when the values are non-integers and even when one cell has a null value (in contrast to the mantel_hanszel or the fisher exact test that do not admit zero values or non-integers) does anyone know what's the difference and how to optain a p.value on that odds ratio? Thanks -- View this message in context: http://www.nabble.com/Woolf%27s-test%2C-Odds-ratio%2C-stratification-tf3284589.html#a9136458 Sent from the R help mailing list archive at...

'AdMit' 1.00-02 is a contributed R package which provides functions to perform the fitting of an adaptive mixture of Student-t distributions to a target density through its kernel function. The mixture approximation can then be used as the importance density in importance sampling or as the candidat...

...s component named by responseName). This is the inverse of xtabs." For example, from ?xtabs, using the ?UCBAdmissions dataset, which is a 3 dimension table: > str(UCBAdmissions) table [1:2, 1:2, 1:6] 512 313 89 19 353 207 17 8 120 205 ... - attr(*, "dimnames")=List of 3 ..$ Admit : chr [1:2] "Admitted" "Rejected" ..$ Gender: chr [1:2] "Male" "Female" ..$ Dept : chr [1:6] "A" "B" "C" "D" ... DF <- as.data.frame(UCBAdmissions) > str(DF) 'data.frame': 24 obs. of 4 variables:...

...} structure( unclass(x), dimnames=c(makeDimNames(attr(x, "row.vars")), makeDimNames(attr(x, "col.vars"))), row.vars=NULL, col.vars=NULL) } Some test cases: > UCB <- UCBAdmissions > as.matrix(ftable(Dept ~ Admit + Gender, data=UCB)) Dept Admit_Gender A B C D E F Admitted_Male 512 353 120 138 53 22 Admitted_Female 89 17 202 131 94 24 Rejected_Male 313 207 205 279 138 351 Rejected_Female 19 8 391 244 299 317 > as.matrix(ftable(Dept ~ ., data=UCB...

Hi, So, we currently have gc.result.int, gc.result.float. gc.result.ptr, gc.relocate, and gc.statepoint. gc.statepoint's signature is fine with a iPTRAny as the first argument. gc.result is in trouble, because none of the signatures admit even a simple array of integers, and there's no aAny. And certainly no vectors. So we can get a gc.result.vector to add to this mess, and admit [1] to make iAny work with integer arrays (and fAny work with float arrays). Then we can't have an array of pointers. gc.relocate suffers from the...

Hi All, What are my e-mail serving options? I need to host POP, IMAP and SMTP. I must admit that non-windows e-mail hosting has always been a chore for me. I remember QMail and QPopper IIRC. -Jason

Hello, Currently it's possible to convert an object of class table to a data frame with as.data.frame.table(), but there's no ready-made function, AFAIK, to do the reverse operation, i.e. conversion of a data frame to a table. Do you think it would be a good idea to add a data.frame method to as.table(), to allow such conversions? The idea is that if `x' is a table and `y <-

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...matrix. But when the response is a factor and counts are specified via the "weights" argument, I am kind of lost as far as what is the implied saturated model. Here is a simple example, based on the UCBAdmissions data. > UCBAd <- as.data.frame(UCBAdmissions) > UCBAd <- glm(Admit ~ Gender + Dept, family = binomial, + weights = Freq, data = UCBAd) > UCBAd$deviance [1] 5187.488 > UCBAd$df.residual [1] 17 I can see that the data frame UCBAd has 24 rows and using 1+1+5 parameters to fit the model leaves me with 17 degrees of freedom. What is not...

Hi Neil, I admit that at this point I haven't considered the implications of the license MPFR is under, and at the moment I'm sticking my head in the sand until and unless we want to go down this path. My expectation is that we would use their exposed API - so we'd #include <mpfr.h> and use funct...

Dear all, I admit this is not anything to do R and even with Statistics perhaps. Strictly speaking this is a math related question. However I have some reasonable feeling that experts here would come up with some elegant suggestion to my question. Here my question is: What is sum of all Integers? I somewhere heard...

On Mon, 2017-11-27 at 21:50 +0000, Rowland Penny wrote: > > Hi Andrew, > I think you understand what I have been saying for some time now, > upgrade from an NT4-style to AD before it is too late. > > However, are you ready yet to admit that Samba should mark NT domains > as deprecated ? I don't see it as admitting or otherwise, the Samba NT4 domain code remains a fully supported and functional part of Samba.   We don't however control the clients however, so we give this warning. To me, deprecated refers to code we...