如何解决添加多 x 轴 ggplot2 或自定义标签到堆栈条形图
嘿,
我正在尝试在 x 轴上集成 (1) 或 (2) 在图形的堆栈条(或类似的东西)顶部添加深度范围的信息。请看下面的图片。
带有标签: enter image description here
(1) 不知道该怎么做。
(2) 要在堆叠条形图顶部绘制信息,我首先创建了变量:
depth_int <- c("5-200 m","5-181 m","5-200 m","5-155 m","5-90 m","10-60 m","10-90 m","10-30 m","20-90 m","0.5-30 m","0.5-90 m","0.5-90 m")
并在我的 ggplot() 上使用这个函数:
geom_text(aes(label = depth_int),hjust = 0,position = "stack")
我收到此错误:
Error: Aesthetics must be either length 1 or the same as the data (164): label
(我猜是因为堆叠的条形图是分类群的组合,然后您不能在每个站点(例如 P1)的条形图顶部仅绘制 1 个值。
-
这是我的脚本:
ggplot(df,aes(x=locationID,fill=class,y = V1))+
geom_bar(stat="identity",position = "stack",width = 0.9)+
facet_grid(. ~ expedition,scales="free_x") +
#scale_fill_manual(values = default_colors,labels= c("","","")) #default_colors<-c("#F8766D","#00BA38","#619CFF")
# change the label names in the legend
labs(title = "Taxa abundance per depth integrated",fill = "Taxa",x= bquote('Stations'),y= bquote('Abundance'~(cells~m^-3)))+
theme_minimal()+
theme(panel.grid.major.y = element_line(size = 0.5,linetype = 'solid',colour = "grey75"),panel.grid.minor.y = element_line(size = 0.5,panel.grid.major.x = element_blank(),panel.background = element_rect(fill = "white",axis.text.x = element_text(colour="black",size=7),axis.text.y = element_text(colour="black",size=10),axis.title.x = element_text(colour="black",axis.title.y = element_text(colour="black",plot.title = element_text(colour = "black",size = 10,face = "bold"),legend.position = "right",legend.text = element_text(size=10),legend.title = element_text(size = 11,hjust =0.5,vjust = 3,legend.key.size = unit(10,"point"),legend.spacing.y = unit(-.25,"cm"),legend.margin=margin(0,5,8,5),legend.Box.margin=margin(-10,10,-3,10),legend.Box.spacing = unit(0.5,plot.margin = margin(2,2,0))
解决方法
简单地将矢量标签传递给 geom_text
是行不通的。为了达到您想要的结果,您可以
-
汇总您的数据以按位置和远征获得条形的总高度
-
将您的标签添加到汇总数据框中。为此,我按位置和探险使用了一个标签数据框,并将其加入到汇总的 df 中。
-
使用汇总的数据框作为
中的数据geom_text
注意:由于汇总的 df 没有列 class
,我将 fill=class
作为本地 aes
放在 geom_bar
中。
使用一些随机示例数据试试这个:
library(ggplot2)
library(tidyr)
library(dplyr)
# Random example dataset
set.seed(42)
df <- data.frame(
locationID = c(sample(LETTERS[1:4],50,replace = TRUE),sample(LETTERS[5:8],replace = TRUE)),class = sample(letters[1:4],100,expedition = rep(paste("expedition",1:2),each = 50),V1 = runif(100)
)
# Make a dataframe of labels by expedition and locationID
depth_int <- tidyr::expand(df,nesting(expedition,locationID))
depth_int$label <- c("5-200 m","5-181 m","5-200 m","5-90 m","10-60 m","10-90 m","10-30 m")
depth_int
#> # A tibble: 8 x 3
#> expedition locationID label
#> <chr> <chr> <chr>
#> 1 expedition 1 A 5-200 m
#> 2 expedition 1 B 5-181 m
#> 3 expedition 1 C 5-200 m
#> 4 expedition 1 D 5-200 m
#> 5 expedition 2 E 5-90 m
#> 6 expedition 2 F 10-60 m
#> 7 expedition 2 G 10-90 m
#> 8 expedition 2 H 10-30 m
# Summarise your data to get the height of the stacked bar and join the labels
df_labels <- df %>%
group_by(locationID,expedition) %>%
summarise(V1 = sum(V1)) %>%
left_join(depth_int,by = c("locationID","expedition"))
ggplot(df,aes(x=locationID,y = V1))+
geom_bar(aes(fill=class),stat="identity",position = "stack",width = 0.9) +
# Use summarised data to put the labels on top of the stacked bars
geom_text(data = df_labels,aes(label = label),vjust = 0,nudge_y = 1) +
facet_grid(. ~ expedition,scales="free_x") +
labs(title = "Taxa abundance per depth integrated",fill = "Taxa",x= bquote('Stations'),y= bquote('Abundance'~(cells~m^-3)))+
theme_minimal()+
theme(panel.grid.major.y = element_line(size = 0.5,linetype = 'solid',colour = "grey75"),panel.grid.minor.y = element_line(size = 0.5,panel.grid.major.x = element_blank(),panel.background = element_rect(fill = "white",axis.text.x = element_text(colour="black",size=7),axis.text.y = element_text(colour="black",size=10),axis.title.x = element_text(colour="black",axis.title.y = element_text(colour="black",plot.title = element_text(colour = "black",size = 10,face = "bold"),legend.position = "right",legend.text = element_text(size=10),legend.title = element_text(size = 11,hjust =0.5,vjust = 3,legend.key.size = unit(10,"point"),legend.spacing.y = unit(-.25,"cm"),legend.margin=margin(0,5,8,5),legend.box.margin=margin(-10,10,-3,10),legend.box.spacing = unit(0.5,plot.margin = margin(2,2,0))
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