search for: prepayd

...I am trying to estimate a Cox proportional hazards model for a set of loans (over 6000) using using time varying covariates. For this 6000+ loans, I have some 62,000 different vectors representing the loans at different periods of time. I did the following: resultsOpt <- coxph(Surv(Start,Stop,PrepayDate)~ closingCoupon + loanPurposeId, data=latest) which returned: Call: coxph(formula = Surv(Start, Stop, PrepayDate) ~ closingCoupon + loanPurposeId, data = latest) coef exp(coef) se(coef) z p closingCoupon 0.101 1.11 0.0271 3.73 1.9e-04 loanPurposeId 0.434...

...object = resulting) n events median 0.95LCL 0.95UCL 115 15 Inf Inf Inf Is there a limit to the size of the data set that I read in? Or am I just doing something silly above? Thanks much. Yongchuan (this is the coxph regression: resultag <- coxph(Surv(Start,Stop,PrepayDate)~modBalance + closingCoupon+lienPosition +originalFICO,table)

I get the following error when I try reading in a table. How are 1.1, 1.2, 1.3 duplicate row names? Thx. > table <- read.table('latestWithNumber.txt', header=T) Error in "row.names<-.data.frame"(`*tmp*`, value = c("1.1", "1.2", "1.3", : duplicate 'row.names' are not allowed Yongchuan