我正在使用carData::Rossi数据来估计生存曲线。这是我用来生成绘图的代码:
library(carData); library(survival)
km1 <- survfit(Surv(week,arrest) ~ race,type = "kaplan-meier",data=Rossi)
library(ggplot2); library(ggfortify)
autoplot(km1) +
labs(x="Time", y="Proportion", strata= "Raza") 我得到的结果是:

如何将图层标签更改为Race?
发布于 2021-10-19 01:15:20
您可以同时使用color = "Raza"和fill = "Raza",而不使用strata = "Raza"。
library(GlobalDeviance)
library(ggfortify)
km1 <- survfit(Surv(week,arrest) ~ race,type = "kaplan-meier",data=Rossi)
autoplot(km1) +
labs(x="Time", y="Proportion", color = "Raza", fill = "Raza")

我不确定colour = "Raza"是否有效。这对我不起作用。
通过使用survminer::ggsurvplot,
survminer::ggsurvplot(km1, xlab = "Time", ylab = "Proportion",
legend.title = "Raza", conf.int = TRUE, ylim = c(0.65,1),
legend = "right", surv.scale = "percent")

https://stackoverflow.com/questions/69623966
复制相似问题