library(survival)
justices <- read.csv("http://data.princeton.edu/pop509/justices2.csv")
PREDS = c("age", "year")
m = coxph(Surv(tenure, event == 1) ~ age + year, data = justices)
summary(m)
exp(coef(m)[1])
exp(confint(m,level=(1-0.05/1))[1,])
DVMOD <- function(PREDS, data){
t <- coxph(paste0("Surv(tenure, event == 1) ~ "), PREDS + number + name, data = data)
return((c(PREDS, coef(t)[1], confint(t)[1,])))
}
all_models <- lapply(PREDS,DVMOD, PREDS = PREDS, data=justices)
我希望为PREDS中的每个变量运行单独的Coxph模型,然后将其名称与危险比和置信度一起存储。
如果使用as.formula()
转换公式字符串,则可以在DVMOD()
函数中如下使用它:
DVMOD <- function(PREDS, data){
theFormula <- paste("Surv(tenure, event == 1) ~ ",PREDS," + number + name")
t <- coxph(as.formula(theFormula), data = data)
return((c(PREDS, coef(t)[1], confint(t)[1,])))
}
DVMOD("age",justices)
all_models <- lapply(c("age"),function(x){
DVMOD(x,justices)
})
由于year
的模型未收敛,所以具有2个变量的lapply()
失败了,但它与age
一起使用。