10

我想在多面图的外部有一个边框，但没有分隔图内面板的线条。问题是 panel.border 在构面中的每个面板周围绘制了一个边框，而没有选项只能在整个绘图周围设置一个边框。或者，您可以将内部分割线设置为“白色”，但将外部边框设置为“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

在此处输入图像描述

所需的输出（在油漆中编辑）：没有内线的分面图

在此处输入图像描述

我想从中删除内线的实际数据图如下所示：

需要删除内部边界的实际数据图

4

1 回答 1

8

有两个选项可供考虑，都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分面框轮廓，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

选项1

（我将图例保留在默认位置，因为它在这里并不重要。）

选项 2是选项 1 的修改，移除了小平面轮廓并添加了一条水平线以模拟顶部边框。明确设置 Y 轴范围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

选项 2

使用的样本数据：

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")))

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

于 2017-09-15T09:55:38.393 回答