Full_Name: Andrew Manners
Version: 2.5.1
OS: windows xp prof 2003
Submission from: (NULL) (130.102.0.177)
To whom it may concern,
I'm trying to get an ANOVA table within survreg but it always produces NA's in
the p-value, regardless of the data set. The data set below comes from Tableman
and Kim 2004. I had the same problem on a number of my own data sets. I searched
the R site for others that have had this problem and it appears that at least
one has: Ronaldo Reis Junior <chrysopa> wrote a couple of messages but there
were never replies (search using "survreg" and "anova" brings up the two
relevant threads).
If this problem is unlikely to be fixed soon can you please let me know how to
install R 2.3.1? I've downloaded the zip but can't seem to get it
installed...I'm sure it's a matter of knowing which button to press,
nevertheless I can't find that button.
Thanks for your help,
Andrew
> motor<-read.table("motorette.csv",header=TRUE,
sep=",",na.strings="NA",dec=".",strip.white=TRUE)
>
> motor
X time status temp x
1 11 1764 1 170 2.26
2 12 2772 1 170 2.26
3 13 3444 1 170 2.26
4 14 3542 1 170 2.26
5 15 3780 1 170 2.26
6 16 4860 1 170 2.26
7 17 5196 1 170 2.26
8 18 5448 0 170 2.26
9 19 5448 0 170 2.26
10 20 5448 0 170 2.26
11 21 408 1 190 2.16
12 22 408 1 190 2.16
13 23 1344 1 190 2.16
14 24 1344 1 190 2.16
15 25 1440 1 190 2.16
16 26 1680 0 190 2.16
17 27 1680 0 190 2.16
18 28 1680 0 190 2.16
19 29 1680 0 190 2.16
20 30 1680 0 190 2.16
21 31 408 1 220 2.03
22 32 408 1 220 2.03
23 33 504 1 220 2.03
24 34 504 1 220 2.03
25 35 504 1 220 2.03
26 36 528 0 220 2.03
27 37 528 0 220 2.03
28 38 528 0 220 2.03
29 39 528 0 220 2.03
30 40 528 0 220 2.03
>
> mot.sreg<-survreg(Surv(time,status)~x,dist="weibull",data=motor)
> anova(mot.sreg)
Df Deviance Resid. Df -2*LL P(>|Chi|)
NULL NA NA 28 311.3634 NA
x -1 22.77348 27 288.5900 NA #this is the problem...
> summary(mot.sreg)
Call:
survreg(formula = Surv(time, status) ~ x, data = motor, dist = "weibull")
Value Std. Error z p
(Intercept) -11.83 1.957 -6.04 1.50e-09
x 9.00 0.901 9.99 1.73e-23 #works fine
Log(scale) -1.02 0.221 -4.64 3.49e-06
Scale= 0.359
Weibull distribution
Loglik(model)= -144.3 Loglik(intercept only)= -155.7
Chisq= 22.77 on 1 degrees of freedom, p= 1.8e-06
Number of Newton-Raphson Iterations: 7
n= 30
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