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
--
View this message in context:
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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
--
View this message in context:
http://r.789695.n4.nabble.com/How-to-compute-hazard
#
#
## Iris data ##
data(iris)
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+s789695n4432330...@n4
(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 Ligges-3 [via R] [mailto:ml-node+s789695n4417618
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/Revolution(My
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. This
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