如何避免在 barplot 中回收颜色以在每个组内实现不同的颜色?

How to avoid recycling of colors in barplot to achieve different colors within each group?

这与我刚刚提出的 问题密切相关。

这是我的数据:

y <- structure(
  c(0.5619, 0.4381, 0.7587, 0.2413, 0.8764, 0.1236, 
    0.9019, 0.0981, 0.9481, 0.0519, 0.99, 0.01),
  .Dim = c(2L, 6L), .Dimnames = list(c("FALSE", "TRUE"), NULL)
)
y
#         [,1]   [,2]   [,3]   [,4]   [,5] [,6]
# FALSE 0.5619 0.7587 0.8764 0.9019 0.9481 0.99
# TRUE  0.4381 0.2413 0.1236 0.0981 0.0519 0.01

每组(蓝色和红色)具有相同颜色的原始图:

barplot(
  y, horiz = TRUE, col = c("blue", "red"),
  names.arg = c("Overall", paste("Flag", 5:1)), las = 1L,
  cex.names = 0.6,
  main = "Proportion Dropped Given Each Sample Restriction"
)

我想更改每个组右侧的红色条,改为在每个组中使用 不同 颜色,例如:

因此,我创建了一个新的 col 向量,每个条形段使用一种颜色:

barplot(
  y, horiz =TRUE,
  col = c(
    "blue", "gold",
    "blue", "springgreen",
    "blue", "orange",
    "blue", "red",
    "blue", "white"
  ),
  names.arg = c("Overall", paste("Flag", 5:1)), las = 1L,
  cex.names = 0.6,
  main = "Proportion Dropped Given Each Sample Restriction"
)

然而,只使用了col中的前两种颜色(蓝色和金色),它们被回收了6次:

有什么方法可以获得我正在寻找的输出吗?

也许通过欺骗 barplot 认为有更多的类别。这非常丑陋,但似乎完成了工作:

ymod <- cbind(c(y[,1], 0, 0,0,0,0,0,0,0,0,0),
              c(0, 0, y[,2],0,0,0,0,0,0,0,0),
              c(0, 0,0,0, y[,3],0,0,0,0,0,0),
              c(0, 0,0,0,0,0, y[,4],0,0,0,0),
              c(0, 0,0,0, 0,0,0,0,y[,5],0,0),
              c(0, 0,0,0, 0,0,0,0,0,0,y[,6]))

barplot(ymod, horiz=T,
        col=c(rbind(rep("blue",6),c("white","red","purple",
                                    "orange","springgreen","gold"))))

Here and here 是我用来实现此结果的一些参考。