R 对镶嵌面内的分组条形图重新排序

我今天的第三个问题，学到了很多，谢谢大家

我试图通过

curr.data$Gap

变量对每个方面中的条形图组重新排序。间隙是每个y标签的条之间的差值，我需要每个面内的顺序，从最小间隙到最大间隙

与其他排序问题略有不同，因为我需要在刻面排序中考虑。

通常情况下，我可以通过将数据与设置的级别进行因子分解来为一个简单的条形图实现这一点，但在这里无法实现这一点

数据：

代码：

---

curr.plot将
x=label
替换为
x=reorder（label，Gap）
这个问题不同。这是重新排序与方面。当存在方面时，这不是重复的，也没有帮助。@Diogo:
structure(list(dept = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 
1L, 1L, 1L, 1L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
5L, 5L, 5L), .Label = c("Distribution Centre Services", "IT", 
"Marketing", "Merchandise & Inventory", "Operations and Communication"
), class = "factor"), label = c("test 25", "test 23", "test 24", 
"test 27", "test 26", "test 28", "test 29", "test 31", "test 33", 
"test 30", "test 32", "test 38", "test 36", "test 37", "test 43", 
"test 34", "test 35", "test 40", "test 39", "test 42", "test 41", 
"test 25", "test 23", "test 24", "test 27", "test 26", "test 28", 
"test 29", "test 31", "test 33", "test 30", "test 32", "test 38", 
"test 36", "test 37", "test 43", "test 34", "test 35", "test 40", 
"test 39", "test 42", "test 41"), Gap = c(-0.16, -0.18, -0.21, 
-0.22, -0.27, -0.29, -0.31, -0.31, -0.35, -0.39, -0.42, -0.15, 
-0.15, -0.2, -0.21, -0.22, -0.27, -0.29, -0.29, -0.31, -0.36, 
-0.16, -0.18, -0.21, -0.22, -0.27, -0.29, -0.31, -0.31, -0.35, 
-0.39, -0.42, -0.15, -0.15, -0.2, -0.21, -0.22, -0.27, -0.29, 
-0.29, -0.31, -0.36), section = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L), impeff = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L), .Label = c("Effectiveness", "Importance"), class = "factor"), 
    score = c(0.77, 0.79, 0.82, 0.8, 0.83, 0.9, 0.91, 0.94, 0.89, 
    0.94, 0.91, 0.82, 0.74, 0.78, 0.81, 0.83, 0.85, 0.82, 0.81, 
    0.8, 0.83, 0.61, 0.61, 0.61, 0.58, 0.56, 0.61, 0.6, 0.63, 
    0.54, 0.55, 0.49, 0.67, 0.59, 0.58, 0.6, 0.61, 0.58, 0.53, 
    0.52, 0.49, 0.47)), .Names = c("dept", "label", "Gap", "section", 
"impeff", "score"), row.names = c(23L, 24L, 25L, 26L, 27L, 28L, 
29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 
42L, 43L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 
77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L), class = "data.frame")

curr.plot <- ggplot(data = curr.data, aes(x = label, y = score)) + 
    geom_bar(aes(fill = impeff),stat = "identity", position = "dodge",width = .7) +
    geom_text(aes(label=percent(score),group=impeff), position= position_dodge(width=.7),vjust=.4,hjust=-.1) + 
    facet_grid(dept~., switch = "y", scales = "free_y", space = "free") +
    theme(legend.position = "bottom")+
    coord_flip()+
    guides(fill = guide_legend(reverse=TRUE,title=NULL))+
    theme(axis.title.x = element_blank()) +
    theme(axis.title.y = element_blank()) +
    theme(axis.text.y = element_text(colour="black"))+
    theme(strip.text.y = element_text(size = 12, colour = "black"))+
    scale_y_continuous(labels=percent,limits = c(0,1))