我一直在尝试创建一个堆积的条形图,该图的颜色与地图中的颜色有关。基本上,我具有给定多边形覆盖的面积比例。我已经预先对df进行了排序,因此每个栈Proportion
的降序排列Class
。如果将fill的值设置为一个continues变量Cluster
(即,但我不能更改堆栈的特定颜色),则可以正常工作;如果将它们转换为因数,Clu
则堆栈的顺序会丢失或我可以管理对它们进行排序,但不是对每个类都对整个图进行排序...Cluster
在不同的类中可能会发生相同的情况,即群集2
Num Class Cluster Proportion Clu Order consec
1 9 Class_9 2 0.859 Two 1 1
2 9 Class_9 5 0.141 Five 2 2
3 10 Class_10 2 0.622 Two 1 3
4 10 Class_10 1 0.179 One 2 4
5 10 Class_10 7 0.165 Seven 3 5
6 10 Class_10 6 0.034 Six 4 6
7 11 Class_11 7 1.000 Seven 1 7
8 12 Class_12 2 0.571 Two 1 8
9 12 Class_12 8 0.289 Eight 2 9
10 12 Class_12 1 0.140 One 3 10
11 13 Class_13 8 0.581 Eight 1 11
12 13 Class_13 4 0.210 Four 2 12
13 13 Class_13 2 0.112 Two 3 13
14 13 Class_13 3 0.079 Three 4 14
15 13 Class_13 5 0.018 Five 5 15
我已经设法使代码走得更远了。
cols<-c(One='Blue',Two='Red',Three='Yellow',Four='lightblue',Five='darkgrey',Six='Black', Seven='cyan',Eight='Green')
ggplot(Tx, aes(x=Class, y=Proportion, fill= Clu)) +
geom_col(width = .7, colour="black", lwd=0.1) +
geom_text(aes(label=ifelse(Proportion >= 0.05, sprintf("%.2f",Proportion),"")),
position=position_stack(vjust=0.5), colour="white") +
coord_flip() +
scale_y_continuous(labels = function(y) paste0(y))+
scale_fill_manual(values = cols)+
labs(y="", x="")
总而言之,我想有一个图表,其中每个类别的比例都按升序排列,但是我为每个群集指定了颜色
一种选择(与您的想法有所不同)是使用position.dodge
和tidytext::reorder_within
。
library(tidyverse)
library(tidytext)
cols<-c('Blue','Red','Yellow','lightblue','darkgrey','Black', 'cyan', 'Green')
Tx %>%
mutate(Cluster2 = reorder_within(Cluster, Proportion, Class)) %>%
ggplot(aes(Cluster2, Proportion, fill = as.factor(Cluster))) +
geom_col(position = position_dodge2(preserve = "single")) +
scale_x_reordered() +
scale_fill_manual(values = cols) +
coord_flip() +
facet_grid(Class~., scales = 'free_y', space = 'free')
如果您确实需要按不同顺序堆叠的条形图,则另一种选择是分别为每个类生成图(这允许正确的顺序),然后将它们全部堆叠在一起。可以使用cowplot::plot_grid
和来完成cowplot::get_legend
。
以正确的顺序生成地块列表,并将其堆叠为一个地块。
library(tidyverse)
library(cowplot)
Tx2 <- Tx %>%
mutate(Cluster = factor(Cluster))
cols<-c(One='Blue',Two='Red',Three='Yellow',Four='lightblue',Five='darkgrey',Six='Black', Seven='cyan',Eight='Green')
p_list <- lapply(unique(Tx2$Class), function(x){
p <- Tx2 %>%
filter(Class == x) %>%
ggplot(aes(Class, Proportion, fill = reorder(Clu, -Proportion))) +
geom_col(color = 'black') +
geom_text(aes(label=ifelse(Proportion >= 0.05, sprintf("%.2f",Proportion),"")),
position=position_stack(vjust=0.5),
color = 'white') +
coord_flip() +
scale_fill_manual(values = cols) +
labs(x = NULL, y = NULL) +
theme_minimal() +
theme(legend.position = 'none')
if (x != 'Class_13') p <- p + theme(axis.text.x = element_blank())
p
})
p_col <- plot_grid(plotlist = p_list,
ncol = 1,
align = 'v',
rel_heights = c(rep(1,4), 1.2))
生成要使用的图例。
p <- ggplot(Tx2, aes(Class, Proportion, fill = reorder(Clu, as.numeric(Cluster)))) +
geom_col(color = 'black') +
scale_fill_manual(values = cols, labels= 1:8, name = 'Cluster')
l <- cowplot::get_legend(p)
将堆积的地块和图例放在一起。
plot_grid(p_col, l, rel_widths = c(3, .4))
数据
Tx <- read.table(text =
' Num Class Cluster Proportion Clu Order consec
1 9 Class_9 2 0.859 Two 1 1
2 9 Class_9 5 0.141 Five 2 2
3 10 Class_10 2 0.622 Two 1 3
4 10 Class_10 1 0.179 One 2 4
5 10 Class_10 7 0.165 Seven 3 5
6 10 Class_10 6 0.034 Six 4 6
7 11 Class_11 7 1.000 Seven 1 7
8 12 Class_12 2 0.571 Two 1 8
9 12 Class_12 8 0.289 Eight 2 9
10 12 Class_12 1 0.140 One 3 10
11 13 Class_13 8 0.581 Eight 1 11
12 13 Class_13 4 0.210 Four 2 12
13 13 Class_13 2 0.112 Two 3 13
14 13 Class_13 3 0.079 Three 4 14
15 13 Class_13 5 0.018 Five 5 15')
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