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r - 使用facet时,ggplot2在面板边框外部

转载 作者:行者123 更新时间:2023-12-04 11:14:59 25 4
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我想在多面情节的外部周围有一个边框,但没有将情节内部的面板分开的线。问题是panel.border在构面上的每个面板周围绘制了一个边框,没有选择仅在整个图上有一个边框。或者,您可以将内部分隔线设置为“白色”,但将外部边界保持为“黑色”。

这是我的代码:

mtcars
mtcars$manufacturer=rownames(mtcars)
ggplot(mtcars, aes(x=manufacturer, y=mpg,fill=factor(gear,levels=c("3","4","5"))))+
geom_bar(stat="identity",position="dodge",colour="black")+
facet_grid(~cyl,scales = "free_x",space = "free_x",) +
theme(axis.text.x = element_text(angle = 45,size=12,colour="Black",vjust=1,hjust=1),
strip.background = element_blank(),
strip.placement = "inside",
strip.text = element_text(size=15),
legend.position=c(0.9,0.8),
legend.title=element_blank(),
legend.text=element_text(size=15),
panel.spacing = unit(0.2, "lines"),
panel.background=element_rect(fill="white"),
panel.border=element_rect(colour="black",size=1),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank())

结果:带有内部边界的多面图

enter image description here

所需的输出(用油漆编辑):不带内线的多面图

enter image description here

我想要从中删除内部线条的实际数据图如下所示:

Actual data plot with inside borders needing to be removed

最佳答案

需要考虑的两个选项均使用辅助轴来模拟右侧的面板边框。如果您也想取消顶部的构面框轮廓,请使用选项2。

选项1 :

ggplot(df,
aes(x = Month, y = Abundance, fill = Type)) +
geom_col(position = "dodge", colour = "black") +
scale_y_continuous(labels = function(x){paste(x, "-")}, # simulate tick marks for left axis
sec.axis = dup_axis(breaks = 0)) + # add right axis
scale_fill_grey() +
facet_grid(~Season, scales = "free_x", space = "free_x") +
theme_classic() +
theme(axis.title.y.right = element_blank(), # hide right axis title
axis.text.y.right = element_blank(), # hide right axis labels
axis.ticks.y = element_blank(), # hide left/right axis ticks
axis.text.y = element_text(margin = margin(r = 0)), # move left axis labels closer to axis
panel.spacing = unit(0, "mm"), # remove spacing between facets
strip.background = element_rect(size = 0.5)) # match default line size of theme_classic

option 1

(我将图例保留在默认位置,因为此处并不重要。)

选项2 是对选项1的修改,其中删除了构面轮廓,并添加了一条水平线以模拟顶部边框。明确设置Y轴限制以匹配此边框的高度:
y.upper.limit <- diff(range(df$Abundance)) * 0.05 + max(df$Abundance)
y.lower.limit <- 0 - diff(range(df$Abundance)) * 0.05

ggplot(df,
aes(x = Month, y = Abundance, fill = Type)) +
geom_col(position = "dodge", colour = "black") +
geom_hline(yintercept = y.upper.limit) +
scale_y_continuous(labels = function(x){paste(x, "-")}, #
sec.axis = dup_axis(breaks = 0), #
expand = c(0, 0)) + # no expansion from explicitly set range
scale_fill_grey() +
facet_grid(~Season, scales = "free_x", space = "free_x") +
coord_cartesian(ylim = c(y.lower.limit, y.upper.limit)) + # set explicit range
theme_classic() +
theme(axis.title.y.right = element_blank(), #
axis.text.y.right = element_blank(), #
axis.ticks.y = element_blank(), #
axis.text.y = element_text(margin = margin(r = 0)), #
panel.spacing = unit(0, "mm"), #
strip.background = element_blank()) # hide facet outline

option 2

使用的示例数据:
set.seed(10)
df <- data.frame(
Month = rep(c("Jun 14", "Aug 14", "Oct 14", "Dec 14", "Apr 15", "Jun 15"),
each = 3),
Type = rep(c("Mangrove", "Mudflat", "Fringe"), 6),
Season = rep(c("Dry1", rep("Wet1", 3), rep("Dry2", 2)), each = 3),
Abundance = sample(50:600, 18)
)

df <- df %>%
mutate(Month = factor(Month, levels = c("Jun 14", "Aug 14", "Oct 14",
"Dec 14", "Apr 15", "Jun 15")),
Season = factor(Season, levels = c("Dry1", "Wet1", "Dry2")))

(根据记录,我不认为 facet_grid/ facet_wrap用于此类用例...)

关于r - 使用facet时,ggplot2在面板边框外部,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/46220242/

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