r - 将 "survfit()"输出转换为矩阵或数据帧

Question

下面的示例数据。

我的基本问题是，单独运行“survfit”会给出一个很好的列，其中包含每个类别的中值生命周期，这是我想从我的 survfit 数据中提取的内容。理想情况下，我想将此“survfit”输出导出为数据框/表并最终保存为 .csv。但无论我如何尝试，我都会遇到错误。

感谢您的帮助/建议!

示例数据:

df<-data.frame(Gtype = as.factor(c("A","A","A","A","A","A","B","B","B","B","B","B","C","C","C","C","C","C")),
Time=as.numeric(c("5","6","7","7","7","7","2","3","3","4","5","7","2","2","2","3","3","4")),
Status=as.numeric(c("1","1","1","1","0","0","1","1","1","1","1","1","1","1","1","1","1","1")))

library(survival)
exsurv<-survfit(Surv(df$Time,df$Status)~strata(df$Gtype))
exsurv

以及我想要作为数据框获取的“survfit”输出:

> exsurv<-survfit(Surv(df$Time,df$Status)~strata(df$Gtype))
> exsurv
Call: survfit(formula = Surv(df$Time, df$Status) ~ strata(df$Gtype))

                   n events median 0.95LCL 0.95UCL
strata(df$Gtype)=A 6      4    7.0       6      NA
strata(df$Gtype)=B 6      6    3.5       3      NA
strata(df$Gtype)=C 6      6    2.5       2      NA

编辑: 这个问题的早期版本包括多余的 print() 函数。 “print(survfit)”和“survfit()”给出相同的结果。

Answer 1

是的，broom::tidy 函数有效。

'mymk1' - 是在我的原始生存数据集上使用 survfit 的对象输出

我试过了，效果很好

results <- broom::tidy(mykm1)

write.csv(results, "./Desktop/Rout/mykm1.csv") 
## the output csv file created in my folder Rout inside my Desktop folder.

然后可以将 csv 文件轻松导入到任何单词或电子表格中。