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R-Packages (Statistical Computing)

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R-Packages (Statistical Computing)

This group is created to invite all professionals using R for data analysis and statistical programming and provide Flat form to discuss R-Packages and share knowledge.

Members: 152
Latest Activity: Jan 27, 2013

Discussion Forum

R WEKA

Started by Akash Choudhury May 21, 2011. 0 Replies

Why R is better than Excel for teaching statistics

Started by Vincent Granville. Last reply by Larry Apr 25, 2011. 11 Replies

R tutorial

Started by Vincent Granville. Last reply by Larry Apr 18, 2011. 4 Replies

R Learning

Started by Triveni Hiremath. Last reply by Triveni Hiremath Mar 11, 2011. 9 Replies

Social Networ Analysis

Started by Jose Simoes. Last reply by Triveni Hiremath Jan 6, 2011. 1 Reply

R Software and time-series/panel analysis - thoughts, anyone?

Started by John Francis Ryan. Last reply by Christian OTCHIA Mar 19, 2010. 2 Replies

KNIME 2.0 provides PMML support

Started by Alex Guazzelli Dec 19, 2008. 0 Replies

Comment Wall

Comment by Pryseley Nkouibert on June 16, 2008 at 9:39am
I wish to fit parametric survival models for interval censored data. However, I run into trouble while using the survreg function.
I used survival object of the form Surv(Start, Stop, Event) and I get a warning message indicating "invalid survival type". Is it not
possible to fit parametric survival models using the survreg function? If so, is there any package in R which enables fitting of such
models?

Best Regards,
Pryseley
Comment by Muhammad Riaz on August 26, 2008 at 8:39am
Dear Pryseley,
Thank you for your query in this group, It is a bit late to reply, however it may help if you still need help for your problem.
I think you can fit parametric survival models, if you want to use R- then please see R help relating to the command line given below:

survreg(formula=formula(data), data=parent.frame(), weights,
subset,na.action,dist="weibull", init=NULL, scale=0,
control=survreg.control(),parms=NULL,model=FALSE, x=FALSE,
y=TRUE, robust=FALSE, ...)

However it is very easy in Stata to use the command given below for fitting a parametric survival model. Again please see help in stata for streg.
streg
Comment by John Logsdon on September 24, 2008 at 7:16am
It works OK - try for example:

summary(survreg(Surv((y<-rnorm(100,10,1))-0.1,y+0.1,rep(3,100),"interval")~1,dist="gaussian")

ie just generate y = 100 rnorms, mean 10, sd 1 and do an interval fit for data between y-0.1 and y+0.1. GIves more or less the same answer as summary(lm(y~1))
Comment by Alex Guazzelli on October 13, 2008 at 11:37am
Hi all! As you many know, PMML is a standard XML-based language used to represent predictive models. In this way, models built with your favorite statistical tool (R) can be exported into PMML and imported into another tool. The good news is that a PMML package is now available for R (you can find the latest in CRAN).

Anyway, I just created a PMML group here at AnalyticBridge and would like to invite you to join us. I hope to have a good amount of productive debate on PMML as well as different ways packages could support it.

Thanks,

Alex

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