有没有办法手动更改使用 rms-package 绘制的诺模图中的标签颜色？

Question

请在下面找到我的数据样本 pp。

问题：有没有办法改变下图列线图中被包围的标签文本的颜色？如您所见，我圈出了三个不同的部分，我想手动更改它们。

中没有找到解决方案

我的列线图：

这是用这段代码制作的

library(rms)
pp$uicc <- factor(pp$uicc,levels=c("1","2","3","4"),labels=c("1","2","3","4"))
pp$rt.kemo <- factor(pp$rt.kemo,levels=c("0","1"),labels=c("0","1"))


d <- datadist(pp)
options(datadist="d")

var.labels <- c(alder = "Age",
                n.fjernet = "LNY",
                uicc = "UICC Stage",
                rt.kemo = "Radiochemotherapy",
                mors = "mors",
                os.neck = "OS")

label(pp) = lapply(names(var.labels),
                   function(x) label(pp[,x]) <- var.labels[x])

a <- cph(Surv(os.neck,mors)~alder+n.fjernet+uicc+rt.kemo,data=pp,surv=TRUE,x=TRUE,y=TRUE)

surv <- Survival(a)  

nom <- nomogram(a, fun=list(function(x) surv(12, x),
                            function(x) surv(36, x),
                            function(x) surv(60, x)),
                funlabel=c("Probability of 1 year survival", 
                           "Probability of 3 years survival",
                           "Probability of 5 years survival"), lp=F)

plot(nom, xfrac=.2, 
     total.points.label="Sum of all points", 
     cex.axis = 1.05,
     force.label = TRUE,
     tcl = 0.8,
     lmgp = 0.1,
     vnames="labels",
     col.grid=gray(c(0.85,0.95)))

我的数据

pp <- structure(list(alder = structure(c(58.53, 51.43, 78.5, 48.44, 
68.61, 58.28, 55.06, 67.33, 86.51, 61.57, 76.98, 63.73, 63.72, 
55.29, 55.34, 60.85, 60.54, 56.13, 76.09, 71.54, 80.24, 81.67, 
59.49, 61.07, 58.28, 60.2, 58.57, 60, 71.95, 40.48), label = c(alder = "Age"), class = c("labelled", 
"numeric")), n.fjernet = structure(c(4L, 27L, 18L, 11L, 14L, 
15L, 9L, 6L, 3L, 16L, 4L, 6L, 10L, 13L, 33L, 16L, 6L, 9L, 15L, 
23L, 5L, 9L, 10L, 8L, 17L, 14L, 13L, 13L, 5L, 9L), label = c(n.fjernet = "LNY"), class = c("labelled", 
"integer")), uicc = structure(c(2L, 2L, 4L, 3L, 3L, 2L, 2L, 2L, 
2L, 4L, 1L, 1L, 2L, 1L, 4L, 2L, 1L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 
1L, 2L, 2L, 3L, 2L, 1L), .Label = c("1", "2", "3", "4"), class = c("labelled", 
"factor"), label = c(uicc = "UICC Stage")), rt.kemo = structure(c(2L, 
2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 
1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L), .Label = c("0", 
"1"), class = c("labelled", "factor"), label = c(rt.kemo = "Radiochemotherapy")), 
    mors = structure(c(0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 
    0L, 0L, 1L, 1L, 0L), label = c(mors = "mors"), class = c("labelled", 
    "integer")), os.neck = structure(c(77.01, 75.96, 11.5, 74.38, 
    17.02, 7.89, 96.03, 40.48, 17.74, 14.65, 62.46, 12.55, 9.92, 
    26.05, 45.47, 17.38, 39.72, 51.45, 119, 8.61, 117.39, 76.98, 
    115.78, 67.09, 113.74, 113.22, 111.64, 94.79, 72.15, 110.23
    ), label = c(os.neck = "OS"), class = c("labelled", "numeric"
    ))), row.names = c(NA, 30L), class = "data.frame")

Answer 1

我不认为可以直接通过 nomogram 或 plot 完成，但总有修改一个 grob:

library(gridGraphics)
library(grid)
plot(nom, xfrac=.2, 
     total.points.label="Sum of all points", 
     cex.axis = 1.05,
     force.label = TRUE,
     tcl = 0.8,
     lmgp = 0.1,
     vnames="labels",
     col.grid=gray(c(0.85,0.95)))

grid.echo()
a <- grid.grab()

要更改颜色，只需指定您想要的标签，按从上到下的顺序编号：

a$children$`graphics-plot-1-text-1`$gp$col <- "red"
a$children$`graphics-plot-1-text-2`$gp$col <- "green"
a$children$`graphics-plot-1-text-7`$gp$col <- "blue"

grid.draw(a)

Answer 2

最好的办法是加载 https://raw.githubusercontent.com/harrelfe/rms/master/R/plot.nomogram.s 并编辑成本地函数，例如 plotnom，然后调用 plotnom。

甚至更好：从 github 分叉并向 man 目录中的 R 文件及其帮助文件添加新选项，然后让我将其合并回主干。

有没有办法手动更改使用 rms-package 绘制的诺模图中的标签颜色？

Is there a way to manually change label colors in nomogram drawn with the rms-package?

label

rms

r

cox-regression

survival-analysis