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)
print(f)
summary(f,FMC=c(0,506.40),Charge=c(45,646))
plot(nomogram(f, interact=list(FMC,Charge)))
The result is:
> print(f)
Logistic Regression Model
lrm(formula = Ignition ~ FMC + Charge, data = Fire)
Model Likelihood Discrimination Rank Discrim.
Ratio Test Indexes Indexes
Obs 231 LR chi2 0.04 R2 0.000 C 0.501
0 77 d.f. 2 g 0.026 Dxy 0.002
0.1 77 Pr(> chi2) 0.9796 gr 1.026 gamma 0.003
1 77 gp 0.006 tau-a 0.002
max |deriv| 7e-13 Brier 0.222
Coef S.E. Wald Z Pr(>|Z|)
y>=0.1 0.6832 0.3018 2.26 0.0236
y>=1 -0.7033 0.3020 -2.33 0.0199
FMC 0.0002 0.0011 0.18 0.8601
Charge -0.0001 0.0009 -0.07 0.9424
> summary(f,FMC=c(0,506.40),Charge=c(45,646))
Effects Response : Ignition
Factor Low High Diff. Effect S.E. Lower 0.95 Upper 0.95
FMC 0 506.4 506.4 0.10 0.58 -1.04 1.24
Odds Ratio 0 506.4 506.4 1.11 NA 0.36 3.45
Charge 45 646.0 601.0 -0.04 0.55 -1.11 1.03
Odds Ratio 45 646.0 601.0 0.96 NA 0.33 2.81
> plot(nomogram(f, interact=list(FMC,Charge)))
http://r.789695.n4.nabble.com/file/n3511218/nomogram_2.jpeg
Please can I do to have linear predictor between 0 to 1.
Thanks very much for your Help
Komine
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