by is not an argument to c( )
datadist needs to know the final coding of variables so run it after doing
any re-codes.
You are using the wrong syntax for interact=
Please take a while to read the full documentation before responding
further, and read my earlier posts.
Frank
Komine wrote:
>
> Hi,
Hi,
I try always to do my nomogram. I change little my code in order to definite
the range of my linear predictor.
But I do not succeed to have 0 until 1. I tried this code.
library(rms)
d <- datadist(Fire)
options(datadist='d')
Fire$Ignition=c(0,1,by=0.1)
f<-lrm(Ignition~FMC+Charge,data=Fire)
Hi Frank,
For to answer your request:
> print(f)
Logistic Regression Model
lrm(formula = Ignition ~ FMC + Charge, data = Fire)
Model Likelihood DiscriminationRank Discrim.
Ratio TestIndexes Indexes
Obs
Hi all R users,
Thanks Frank for your advices
In fact I posted all my script. In the R Help, the script for nomogram is
long and I took only the part what I think interesting in my case.
I use informations from( datadist {Design} and rms {rms}) in the help of R
software to do my code.
I see tha
Don't attach the Design package. Use only rms. Please provide the output of
lrm (print the f object). With such a strong model make sure you do not
have a circularity somewhere. With nomogram you can specify ranges for the
predictors; default is 10th smallest to 10th largest.
rms will not make
Please post the entire script next time, e.g., include require(rms). You
have one line duplicated. Put this before the first use of lrm: d <-
datadist(donnee); options(datadist='d')
Frank
Komine wrote:
>
> Hi,
> I use datadist fonction in rms library in order to draw my nomogram.
> After rea
Hi,
I use datadist fonction in rms library in order to draw my nomogram. After
reading, I try this code:
f<-lrm(Y~L+P,data=donnee)
f <- lrm(Y~L+P,data=donnee)
d <- datadist(f,data=donnee)
options(datadist="d")
f <- lrm(Y~L+P)
summary(f,L=c(0,506,10),P=c(45,646,10))
plot(Predict(
Thanks Frank
I will try rms package and give after the result.
Komine
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R-he
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
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 n
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