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I want to write a function to take an argument as the response variable of a linear model, e.g. to do anova's across a list of variables, something like the following (except, of course, this doesn't work): function(x) { anova(lm(x ~ my.factor,data=my.data)) } The x in lm() above is getting evaluated at the wrong level. How can I make this work? -- Russell Senior ``The two

Dear LLVM, This is probably a question for Fortran/DragonEGG experts: Why Fortran's "call flush()" is converted to "call void bitcast (void (...)* @_gfortran_flush_i4 to void (i8*)*)(i8* null) nounwind" ? Why it needs bitcast? I'm expecting something like "call void @_gfortran_flush_i4(i8* null)". Otherwise, we will need to teach our call parsers to digg

Duncan, Oh, right, now I remember: it's a very old problem I knew 1.5 years ago. There were even some bugs on it, here is a common case: > cat test1.f90 program test call test1() end program test > kernelgen-dragonegg test1.f90 -o- | opt -O3 -S -o - ; ModuleID = '<stdin>' target datalayout =

Dear Sir or Madam? I am a doctor of urology,and I am engaged in developing a nomogram of bladder cancer. May I ask for your help on below issue? I set up a dataset which include 317 cases. I got the Binary Logistic Regression model by SPSS.And then I try to reconstruct the model ?lrm(RECU~Complication+T.Num+T.Grade+Year+TS)? by R-Project,and try to internal validate the model through

Hi Dmitry, > Do you think this is a system problem of gcc applicable to other functions too, or just a flush-specific bug? it has nothing to do with flush - for all I know flush is fine. Dragonegg does this for all Fortran functions because the Fortran front-end is so buggy, i.e. often produces wrong function types. I have another way of handling this in mind, which would avoid this trick,

Dear Sir, Thank you for accepting my request for registration on this site. I am trying to solve panel data problems using plm package , but while suing random effect model i am getting following messege saying " Warning message:In sqrt(sigma2) : NaNs produced " In some other cases i am getting message saying where TSS = NA , that I am not understanding I am sending you my code along

Dear Kailas Gokhale, The negative individual variance is not a problem with your code or plm. It a property of your data. Please check the posts of Giovanni Millo on this topic: [R] R: plm random effect: the estimated variance of the individual effect is negative Millo Giovanni Giovanni_Millo at Generali.com Sat Jan 5 10:10:01 CET 2013 You can find the posts in the archive by rseek.org.