Accelerated Life Testing of Motorettes

Arguments

temp the temperature (degrees C) of the test
time the time in hours to failure or censoring at 8064 hours (= 336 days).
cens an indicator variable for death

SUMMARY

The motorette data frame has 40 rows and 3 columns. It describes an accelerated life test at each of four temperatures of 10 motorettes, and has rather discrete times.

DATA DESCRIPTION

This data frame contains the following columns:

SOURCE

Kalbfleisch, J. D. and Prentice, R. L. (1980) The Statistical Analysis of Failure Time Data. New York: Wiley.

taken from

Nelson, W. D. and Hahn, G. J. (1972) Linear regression of a regression relationship from censored data. Part 1 – simple methods and their application. Technometrics 14, 247-276.

Examples

library(survival4)
data(motors)
attach(motors)
plot(survfit(Surv(time, cens) ~ factor(temp)), conf.int=F)
# fit Weibull model
motor.wei <- survreg(Surv(time, cens) ~ temp)
summary(motor.wei)
# and predict at 130C
at130 <- predict(motor.wei, data.frame(temp=130), se.fit=T)
exp(at130$fit)

motor.cox <- coxph(Surv(time, cens) ~ temp)
summary(motor.cox)
# predict at temperature 200
plot( survfit(motor.cox, newdata=data.frame(temp=200)) )


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