如何从图中删除置信区间虚线?
对于图例,为什么第 2 行是虚线,而第 1 行是实线?有没有办法让两条实线?我不确定这段代码的作用 - lty=1:2, cex=0.8
我在下面附上了我的一个数据集和相应的命令。谢谢!
> km2 <- survfit(Surv(times_start, times_end, type="interval2")~ 1)
> summary(km2)
Call: survfit(formula = Surv(times_start, times_end, type = "interval2") ~
1)
time n.risk n.event survival std.err lower 95% CI upper 95% CI
1.31 284.0 2.04 0.993 0.00743 0.9782 1.000
2.06 282.0 1.03 0.989 0.00856 0.9724 1.000
2.81 280.9 4.18 0.974 0.01770 0.9395 1.000
3.56 276.7 2.10 0.967 0.01977 0.9278 1.000
4.31 274.7 8.42 0.937 0.03557 0.8659 1.000
5.06 266.2 2.11 0.930 0.03678 0.8556 1.000
5.81 264.1 13.79 0.881 0.05659 0.7642 1.000
6.38 250.3 4.24 0.867 0.05838 0.7440 1.000
7.12 246.1 9.55 0.833 0.06455 0.6940 1.000
7.88 236.5 7.43 0.807 0.06785 0.6577 0.990
8.62 229.1 3.18 0.796 0.06866 0.6432 0.984
9.38 225.9 9.55 0.762 0.07262 0.5963 0.974
10.12 216.4 4.24 0.747 0.07355 0.5769 0.967
10.88 212.1 18.03 0.683 0.08015 0.4883 0.957
11.62 194.1 2.12 0.676 0.08017 0.4793 0.953
12.56 192.0 8.68 0.645 0.08074 0.4415 0.944
13.31 183.3 3.33 0.634 0.08069 0.4274 0.940
14.06 180.0 13.67 0.586 0.08082 0.3690 0.929
14.81 166.3 2.34 0.577 0.08058 0.3595 0.927
15.56 164.0 10.33 0.541 0.07952 0.3176 0.921
16.31 153.6 4.35 0.526 0.07886 0.3005 0.920
17.06 149.3 3.32 0.514 0.07831 0.2875 0.919
17.81 146.0 3.89 0.500 0.07761 0.2724 0.919
18.56 142.1 2.25 0.492 0.07718 0.2638 0.919
19.31 139.8 5.37 0.473 0.07605 0.2435 0.921
20.06 134.5 3.36 0.462 0.07530 0.2309 0.923
20.81 131.1 9.03 0.430 0.07291 0.1983 0.932
21.56 122.1 5.54 0.410 0.07128 0.1790 0.941
23.81 116.5 19.40 0.342 0.06341 0.1182 0.990
24.56 97.1 24.24 0.257 0.05029 0.0575 1.000
5013.31 72.9 72.88 0.000 0.00000 NA NA
> plot(km, xmax=50, xlab="Time", ylab="Log cumulative hazard", col="blue", fun="cloglog")
> lines(km2, xlab="Time", ylab="Log cumulative hazard", col="red", fun="cloglog")
> legend("topleft", legend=c("Line 1", "Line 2"), col=c("red", "blue"), lty=1:2, cex=0.8)