我正在绘制具有类别和子类别的数据(请参见下面的示例数据),并且我想将它们嵌套显示(此示例是在 Excel 中创建的):
我在 R 中想到的最好的方法是创建一个具有所需名称的新列,如下所示:
df <- data.frame(main.cat = c("A", "A", "B", "B", "B", "C"),
second.cat = c("a1", "a2", "b1", "b2", "b3", "c1"),
value = c(2, 3, 4, 2.5, 1.5, 2.3))
df$x.labels <- paste(df$second.cat, df$main.cat, sep = "\n")
ggplot(data = df, aes(x = x.labels, y = value)) + geom_point()
这至少保留了两个级别的类别,但复制了所有主要类别标签:
有没有人知道更好的东西,它看起来更像 Excel 的输出?
最佳答案
我认为分面方法很好:
library(ggplot2)
library(gtable)
library(grid)
df <- data.frame(main.cat = c("A", "A", "B", "B", "B", "C"),
second.cat = c("a1", "a2", "b1", "b2", "b3", "c1"),
value = c(2, 3, 4, 2.5, 1.5, 2.3))
p = ggplot(data = df, aes(x = second.cat, y = value)) +
geom_point() + facet_grid(.~main.cat, space = "free_x", scales = "free_x") +
theme(strip.background = element_rect(fill = NA))
但是,如果您想要更接近 excel 外观的东西,一种方法是使用
gtable
函数提取 strip 并将其插入刻度线标签下方,然后在主要类别之间插入一些边界线。请注意,下面的代码特定于您的示例数据。p = p + theme(panel.spacing = unit(0, "lines"))
g = ggplotGrob(p)
gtable_show_layout(g) # to see the layout
# Add a row below the x-axis tick mark labels,
# the same height as the strip
g = gtable_add_rows(g, g$height[7], 9)
# Get the strip grob
stripGrob = gtable_filter(g, "strip")
# Insert the strip grob into the new row
g = gtable_add_grob(g, stripGrob, 10, 5, 10, 9)
# remove the old strip
g = g[-7, ]
# Insert line grobs as boundary lines between major categories
linesGrob = linesGrob(gp = gpar(col = "grey75"))
for(i in c(6,8)) g = gtable_add_grob(g, linesGrob, t=8, l=i, b=9, r=i)
# Insert new columns of zero width to take the line grobs for the first and last boundary lines
for(i in c(4, 10)) {
g = gtable_add_cols(g, unit(0, "lines"), i)
g = gtable_add_grob(g, linesGrob, t=8, l=i+1, b=9, r=i+1)
}
grid.newpage()
grid.draw(g)
编辑 概括的粗略尝试
library(ggplot2)
library(gtable)
library(grid)
df <- data.frame(main.cat = c("A", "A", "B", "B", "C", "D"),
second.cat = c("a1", "a2", "b1", "b2", "c1", "d1"),
value = c(2, 3, 4, 2.5, 1.5, 2.3))
p = ggplot(data = df, aes(x = second.cat, y = value)) +
geom_point() + facet_grid(.~main.cat, space = "free_x", scales = "free_x") +
theme(strip.background = element_rect(fill = NA))
p = p + theme(panel.spacing = unit(0, "lines"))
g = ggplotGrob(p)
gtable_show_layout(g) # to see the layout
# Get the indices for the panels (t=top, l=left, ...
panels <- c(subset(g$layout, grepl("panel", g$layout$name), se=t:r))
# Get the strip grob
stripGrob = gtable_filter(g, "strip")
# Its height is
height = stripGrob$height
# Add a row below the x-axis tick mark labels,
# the same height as the strip.
g = gtable_add_rows(g, height, unique(panels$b+1))
# Insert the strip grob into the new row
g = gtable_add_grob(g, stripGrob,
t = unique(panels$b+2),
l = min(panels$l),
r = max(panels$r))
# Insert line grobs as boundary lines between major categories
linesGrob = linesGrob(gp = gpar(col = "grey75"))
panelsR = panels$r[-length(panels$r)]
for(i in panelsR+1) g = gtable_add_grob(g, linesGrob,
t=unique(panels$b+1),
l=i,
b=unique(panels$b+2))
# Insert new columns of zero width to take the line grobs for the first and last boundary lines
panelBound = c(4, max(panels$r)+1)
for(i in panelBound) {
g = gtable_add_cols(g, unit(0, "lines"), i)
g = gtable_add_grob(g, linesGrob,
t=unique(panels$b+1),
l=i+1,
b=unique(panels$b+2))
}
# remove the old strip
g = g[-7, ]
# Draw it
grid.newpage()
grid.draw(g)
关于r - 如何绘制带有嵌套类别轴的图表?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/28853786/