r - 如何对矩阵的条形图进行排序？

Question

data <- structure(list(W= c(1L, 3L, 6L, 4L, 9L), X = c(2L, 5L, 
4L, 5L, 12L), Y = c(4L, 4L, 6L, 6L, 16L), Z = c(3L, 5L, 
6L, 7L, 6L)), .Names = c("W", "X", "Y", "Z"),
     class = "data.frame", row.names = c(NA, -5L))
colours <- c("red", "orange", "blue", "yellow", "green")

barplot(as.matrix(data), main="My Barchart", ylab = "Numbers", 
          cex.lab = 1.5, cex.main = 1.4, beside=TRUE, col=colours).

效果很好，但我需要通过递减对每个组(单独)进行排序，即显示相同的图，但从高到低排序为 W，...，Z .示例:对于 W，绿色将从左开始，蓝色，黄色，...。对于 x，绿色将从左边开始，橙色、黄色等等。

Answer 1

这可以通过生成具有与条形一样多的元素的颜色向量并分别对每个矩阵列进行排序来实现:

根据每列的 x 顺序对颜色进行排序并转换为矢量:

colours <- as.vector(apply(data, 2, function(x){
  col <- colours[order(x)]
  }))

分别对每一列进行排序:

df <- apply(data, 2, sort)

barplot(df,
        main = "My Barchart",
        ylab = "Numbers",
        cex.lab = 1.5,
        cex.main = 1.4,
        beside = TRUE,
        col = colours)

按降序排列并带有图例

colours <- c("red", "orange", "blue", "yellow", "green")

colours1 <- as.vector(apply(data, 2, function(x){
  col <- colours[order(x, decreasing = TRUE)]
  }))

barplot(apply(data, 2, sort,  decreasing = TRUE),
        main = "My Barchart",
        ylab = "Numbers",
        cex.lab = 1.5,
        cex.main = 1.4,
        beside = TRUE,
        col = colours1)

legend("topleft", c("First","Second","Third","Fourth","Fifth"), cex=1.3, bty="n", fill=colours)

这里使用一个颜色向量为条形图着色，另一个颜色向量用于图例

最后是关于聚合数据的评论中的问题:

all <- apply(data, 1, mean)
colours <- c("red", "orange", "blue", "yellow", "green")

barplot(sort(all, decreasing = T), col = colours[order(all, decreasing = T)])