I have created a nomogram using R, I use rsm package I use GLM with Poisson family because the data is not normal and I use code like this:
dd <- datadist(database_set_);options(datadist='dd')
Model.A<-Glm(Y~X1+X2+X3+X4+X5+X6,family = poisson,(data =database_set_))
plot(nomogram(Model.A,fun = exp))
nomogram(Model.A,fun = exp)
the result of the total point value that R outputs is like this:
Points per unit of linear predictor: 73.02366 Linear predictor units per point : 0.01369419 Total Points Predicted Value 115 5 165 10 195 15 216 20 232 25 245 30 257 35
How do I find out the predicted value if the total points are not included in that number, for example, the total points are 117, what is the predicted value?