Please read the documentation for the rms package, particularly the datadist
function.
Note that in your subject line glm should be lrm.
Frank
Komine wrote:
>
> Hi all R users
> I did a logistic regression with my binary variable Y (0/1) and 2
> explanatory variables.
> Now I try to draw my nomogram with predictive value. I visited the help of
> R but I have problem to understand well the example. When I use glm
> fonction, I have a problem, thus I use lrm. My code is:
> modele<-lrm(Y~L+P,data=donnee)
> fun<- function(x) plogis(x-modele$coef[1]+modele$coef[2])
> f <- Newlabels(modele,c(L="poids",P="taille"))
> nomogram(f, fun=list('Prob Y<=1'=plogis),
> fun.at=c(seq(0,1,by=.1),.95,.99),
> lmgp=.1, cex.axis=.6)
> fun.at=c(.01,.05,seq(.1,.9,by=.1),.95,.99),
> lmgp=.2, cex.axis=.6)
> options(Fire=NULL)
> Result is bad and I have this following error message:
> Erreur dans value.chk(at, i, NA, -nint, Limval, type.range = "full") :
> variable L does not have limits defined by datadist
>
> Could you help me on the code to draw nomogram.
> Nb: my English is low, I apologize.
> Thank for your help
> Komine
>
-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
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