请帮助我们按升序对堆栈进行排序!即左面似乎是有序的,但右侧没有真正排序,因为1.7应该在右端。 (请参阅屏幕截图)
类似但不完全相同的查询How to control ordering of stacked bar chart using identity on ggplot2Order Stacked Bar Graph in ggplotreorder each facet ascending for a ggplot stacked bar graph
df = data.frame(cat = c(rep("A",9),rep("B",11)),
grp = c(rep("C",3),rep("D",3),rep("F",3), rep("C",3),rep("D",3),rep("E",2),rep("F",3)),
yrs = c(rep(c("2017","2018","2019"),5),"2017","2019","2017","2018","2019"),
per = c(2.4,2.5,3.2,
15.3,17,16.7,
82.4,80.5,80.1,
8.6,9.6,15.2,
36.2,42.2,40.4,
1.7,1.1,53.4,
48.2,43.4))
df %>%
ggplot(aes(x = "scale",y = per, fill = grp)) +
# geom_bar(stat="identity") +
geom_col() +
geom_text(aes(label= round(per,1)),
position=position_stack(vjust=0.5), size= 3) +
facet_grid(vars(yrs),vars(cat)) +
coord_flip() +
theme_bw() +
xlab("") +
ylab("") +
ggtitle("How to sort ") +
theme(legend.position="bottom",
legend.title = element_blank(),
plot.title = element_text(hjust = 0.5),
axis.text = element_blank(),
axis.ticks = element_blank())
默认情况下,条形根据grp
按字母顺序排列。要按per
进行订购,我们可以通过使用例如grp
中的fct_reorder
。但是请注意,从多个方面来看,这种简单的解决方案不适用于更一般的情况。
forcats
由library(ggplot2)
library(dplyr)
library(forcats)
df <- data.frame(cat = c(rep("A",9),rep("B",11)),
grp = c(rep("C",3),rep("D",3),rep("F",3), rep("C",3),rep("D",3),rep("E",2),rep("F",3)),
yrs = c(rep(c("2017","2018","2019"),5),"2017","2019","2017","2018","2019"),
per = c(2.4,2.5,3.2,
15.3,17,16.7,
82.4,80.5,80.1,
8.6,9.6,15.2,
36.2,42.2,40.4,
1.7,1.1,53.4,
48.2,43.4))
df %>%
ggplot(aes(x = "scale", y = per, fill = fct_reorder(grp, per))) +
# geom_bar(stat="identity") +
geom_col() +
geom_text(aes(label= round(per,1)),
position=position_stack(vjust=0.5), size= 3) +
facet_grid(vars(yrs),vars(cat)) +
coord_flip() +
theme_bw() +
xlab("") +
ylab("") +
ggtitle("How to sort ") +
theme(legend.position="bottom",
legend.title = element_blank(),
plot.title = element_text(hjust = 0.5),
axis.text = element_blank(),
axis.ticks = element_blank())
(v0.3.0)在2020-03-17创建