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2025-01-12 00:52:51 +08:00
R Under development (unstable) (2018-05-10 r74706) -- "Unsuffered Consequences"
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> options(na.action=na.exclude) # preserve missings
> options(contrasts=c('contr.treatment', 'contr.poly')) #ensure constrast type
> library(survival)
>
> #
> # Test on the ovarian data
>
> fit1 <- coxph(Surv(futime, fustat) ~ rx + age, ovarian)
> fit2 <- coxph(Surv(futime, fustat) ~ rx + pspline(age, df=2),
+ data=ovarian)
> fit2$iter
[1] 2 8
>
> fit2$df
[1] 0.9426611 1.9293051
>
> fit2$history
$`pspline(age, df = 2)`
$`pspline(age, df = 2)`$theta
[1] 0.4468868
$`pspline(age, df = 2)`$done
[1] TRUE
$`pspline(age, df = 2)`$history
thetas dfs
[1,] 1.0000000 1.000000
[2,] 0.0000000 5.000000
[3,] 0.6000000 1.734267
[4,] 0.4845205 1.929305
$`pspline(age, df = 2)`$half
[1] 0
>
> fit4 <- coxph(Surv(futime, fustat) ~ rx + pspline(age, df=4),
+ data=ovarian)
> fit4
Call:
coxph(formula = Surv(futime, fustat) ~ rx + pspline(age, df = 4),
data = ovarian)
coef se(coef) se2 Chisq DF p
rx -0.373 0.761 0.749 0.241 1.00 0.6238
pspline(age, df = 4), lin 0.139 0.044 0.044 9.978 1.00 0.0016
pspline(age, df = 4), non 2.592 2.93 0.4457
Iterations: 3 outer, 14 Newton-Raphson
Theta= 0.242
Degrees of freedom for terms= 1.0 3.9
Likelihood ratio test=19.4 on 4.9 df, p=0.001
n= 26, number of events= 12
>
>
>
> proc.time()
user system elapsed
0.808 0.040 0.847