(X*beta). i.e; is instantaneous hazard
is equal to the values which has been computed as "h(t)= baseline hazard
values(MODEL.COXPH.BASELINEHAZ)* exp(X*beta)".
If not, then please help me in obtaining the appropriate hazard
function(H(t)). Please oblige.
Regards,
Yashwanth M.R
(X*beta). i.e; is instantaneous hazard
is equal to the values which has been computed as "h(t)= baseline hazard
values(MODEL.COXPH.BASELINEHAZ)* exp(X*beta)".
If not, then please help me in obtaining the appropriate hazard
function(H(t)). Please oblige.
Regards,
Yashwanth M.R
#
#
## Iris data ##
data(iris)
#
". We internally build the predictive models and try to write
the report using R2HTML. There I found this problem and still struggling. I
will again go through the book you suggested and will update you shortly.
Regards,
Yashwanth M.R
From: Uwe Ligges-3 [via R] [mailto:ml-node+s789695n443
.TEXT.Functn(Telco.Rpart.METHOD.CLASS)
Telco.Rpart.PLOT.TEXT
Again if I solely run the command "Telco.Rpart.PLOT.TEXT", the output it is
displaying as "NULL". Please help me finding out the desired result ASAP.
Regards,
Yashwanth M.R
From: Uwe
Here is the two functions which I have used during my practice.
*plot(Telco.rpart.METHOD.CLASS,compress=FALSE,uniform=TRUE)
text(Telco.rpart.METHOD.CLASS,use.n = TRUE, cex = .75))*
"Telco.rpart.METHOD.CLASS" is my "rpart" object of the method "class".
If I run this,
*Telco.Rpart.PLOT.TEXT <-
## To read .csv file(data) and performing "rpart" ##
# library(Hmisc)
library(rpart)
read.csv("D:/Training/RRE/Revolution(My Projects)/Project1/RProject(pmml
from SPSS)/telco_churn.csv", header = TRUE, sep = ",", quote="\"", dec=".")
# help(read.csv)
Telco<- read.table(file = "D:/Training/RRE/Revo
I am running the nnet package as
> neural.soft<-nnet(custcat~region+ed+marital+tenure+age+address+income,size=3,softmax=TRUE)
>
This returns the error message : formal argument "softmax" matched by
multiple actual arguments
Here the dependent variable "custcat" is a factor with 4-levels.
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