在ggplot2中为每个facet_wrap网格放置一个图例

时间:2013-02-12 19:48:02

标签: r ggplot2 legend facet facet-wrap

我有这个数据框:

        Date Server FileSystem PercentUsed
1  12/1/2011      A          /          60
2   1/2/2012      A       /var          50
3   2/1/2012      A        tmp          90
4  2/10/2012      A        /db          86
5  2/13/2012      A       /app          90
6  12/1/2011      B         C:          67
7   1/2/2012      B         D:          67
8   2/1/2012      B         F:          34
9  2/10/2012      B   /restore          89
10 2/13/2012      B         G:          56
11 12/1/2011      C          /          90
12  1/2/2012      C       /tmp          78
13  2/1/2012      C      /data          67
14 2/10/2012      C   /Storage          34
15 2/13/2012      C  /database          12

dput(x)
structure(list(Date = structure(c(2L, 1L, 3L, 4L, 5L, 2L, 1L, 
3L, 4L, 5L, 2L, 1L, 3L, 4L, 5L), .Label = c("1/2/2012", "12/1/2011", 
"2/1/2012", "2/10/2012", "2/13/2012"), class = "factor"), Server = structure(c(1L, 
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L), .Label = c("A", 
"B", "C"), class = "factor"), FileSystem = structure(c(1L, 9L, 
14L, 5L, 2L, 10L, 11L, 12L, 6L, 13L, 1L, 8L, 3L, 7L, 4L), .Label = c("/", 
"/app", "/data", "/database", "/db", "/restore", "/Storage", 
"/tmp", "/var", "C:", "D:", "F:", "G:", "tmp"), class = "factor"), 
    PercentUsed = c(60L, 50L, 90L, 86L, 90L, 67L, 67L, 34L, 89L, 
    56L, 90L, 78L, 67L, 34L, 12L)), .Names = c("Date", "Server", 
"FileSystem", "PercentUsed"), class = "data.frame", row.names = c(NA, 
-15L))

我想在每个facet_wrap网格旁边添加一个图例,它自己的FileSystem

当我这样做时,它会将图例放在情节的一侧,用于所有FileSystem。是否可以将FileSystem放在每个网格旁边的每个服务器上?

ggplot(x, aes(Date, PercentUsed, group=1, colour=FileSystem)) + 
     geom_jitter(size=0.5) + geom_smooth(method="loess", se=T) + 
     facet_wrap(~Server, ncol=1)

5 个答案:

答案 0 :(得分:26)

最好的方法是使用 gridExtra 包:

library(gridExtra)

xs <- split(x,f = x$Server)
p1 <- ggplot(xs$A,aes(x = Date,y = PercentUsed,group = 1,colour = FileSystem)) + 
        geom_jitter(size=0.5) + 
        geom_smooth(method="loess", se=T) + 
        facet_wrap(~Server, ncol=1)

p2 <- p1 %+% xs$B
p3 <- p1 %+% xs$C

grid.arrange(p1,p2,p3)

enter image description here

答案 1 :(得分:25)

嗯,@ joran打败了我(我的gridExtra已经过时但我花了10分钟才意识到这一点)。这是一个类似的解决方案,但是这个通常按照Server中的级别对猫进行外观。

library(gridExtra)
out <- by(data = x, INDICES = x$Server, FUN = function(m) {
      m <- droplevels(m)
      m <- ggplot(m, aes(Date, PercentUsed, group=1, colour = FileSystem)) + 
         geom_jitter(size=2) + geom_smooth(method="loess", se=T)
   })
do.call(grid.arrange, out)

# If you want to supply the parameters to grid.arrange
do.call(grid.arrange, c(out, ncol=3))

image

答案 2 :(得分:4)

我们可以创建每个组的绘图列表,然后使用 cowplot :: plot_grid 进行绘图,而不是使用facet。每个人都有它自己的传奇:

# make list of plots
ggList <- lapply(split(x, x$Server), function(i) {
  ggplot(i, aes(Date, PercentUsed, group = 1, colour = FileSystem)) + 
    geom_jitter(size = 2) +
    geom_smooth(method = "loess", se = TRUE)})

# plot as grid in 1 columns
cowplot::plot_grid(plotlist = ggList, ncol = 1,
                   align = 'v', labels = levels(x$Server))

根据@Axeman的建议,我们可以使用facet_grid(~Server)而不是labels = levels(x$Server)添加标签。

enter image description here

答案 3 :(得分:1)

我喜欢@joran的答案,并根据其代码提供了两个选项作为起点。 这两个选项都解决了构面未对齐的问题。

传说中的各个方面

如果为图例项选择了等宽字体,则可以使用str_pad在所有图例项的右侧添加填充,以使每个图例的长度保持一致。

如果您愿意使用等宽字体,这是一个快速修复。

library(ggplot2)
library(dplyr)
library(gridExtra)
library(stringr)

l <- max(nchar(as.character(x$FileSystem)))
mylevels <- as.character(levels(x$FileSystem))
mylevels <- str_pad(mylevels, width = l, side = "right", pad = " ")
x <- mutate(x, FileSystem = factor(str_pad(FileSystem, width = l, side = "right", pad = " "),
            levels = mylevels))
windowsFonts("Lucida Sans Typewriter" = windowsFont("Lucida Sans Typewriter"))
xs <- split(x,f = x$Server)
p1 <- ggplot(xs$A,aes(x = Date,y = PercentUsed,group = 1,colour = FileSystem)) + 
  geom_jitter(size=0.5) + 
  geom_smooth(method="loess", se=T) + 
  facet_wrap(~Server, ncol=1) +
  theme(legend.text = element_text(family = "Lucida Sans Typewriter"))

p2 <- p1 %+% xs$B
p3 <- p1 %+% xs$C

grid.arrange(p1,p2,p3)

enter image description here

图面内的传说

如果您不介意每个构面内的图例,则可以使用scale调用中的“ expand”参数为每个构面添加额外的空间:

library(lubridate)
x <- mutate(x, Date = as.Date(as.character(Date), format = "%m/%d/%Y"))
xs <- split(x,f = x$Server)
p1 <- ggplot(xs$A,aes(x = Date,y = PercentUsed,group = 1,colour = FileSystem)) + 
  geom_jitter(size=0.5) + 
  scale_x_date(expand = expansion(add = c(5, 20)),
               date_labels = "%d-%m-%Y") +
  geom_smooth(method="loess", se=T) + 
  facet_wrap(~Server, ncol=1) +
  theme_bw() +
  theme(legend.position = c(0.9, 0.5))

p2 <- p1 %+% xs$B
p3 <- p1 %+% xs$C

grid.arrange(p1,p2,p3)

enter image description here

答案 4 :(得分:0)

除了gridExtracowplot之外,现在游戏中还有patchwork。因此,您可以执行以下操作:

require(ggplot2)
require(patchwork)
# split
dfs = split(df, f = df$Server)
# apply ggplot function and write to list
gg_l = lapply(dfs, function(x) {
  ggplot(x, aes(x = Date,y = PercentUsed, group = 1, colour = FileSystem)) + 
    geom_jitter(size = 0.5) + 
    geom_smooth(method = "loess", se = TRUE) + 
    facet_wrap(~ Server, ncol = 1)
})
# patchwork
wrap_plots(gg_l, ncol = 1)

enter image description here

您也可以手动组合图,看看here。我将 OP 的数据用于 df