31

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))

我想在每个网格旁边放一个图例facet_wrap，它自己FileSystem：

当我这样做时，它会将图例放在所有FileSystem. 是否可以在每个网格旁边放置FileSystem属于每个服务器？

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)
4

5 回答 5

31

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)

在此处输入图像描述

于 2013-02-12T20:25:25.770 回答
30

嗯，@joran 打败了我（我gridExtra已经过时了，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，但这个解决方案通常按Server.

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))

图片

于 2013-02-12T20:39:29.827 回答
14

我们可以不使用构面，而是为每组创建一个绘图列表，然后使用cowplot::plot_grid进行绘图。每个人都有自己的传奇：

# 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))

正如@Axeman 所建议的那样，我们可以使用facet_grid(~Server), 而不是. 添加标签labels = levels(x$Server)。

在此处输入图像描述

于 2018-02-16T08:00:10.557 回答
1

我喜欢@joran 的回答，并以他们的代码为起点提供了几个选项。这两个选项都解决了未对齐的方面的问题。

刻面外的传说

如果为图例项选择等宽字体，则可以使用str_pad在所有图例项的右侧添加填充，强制每个项的长度保持一致。

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)

在此处输入图像描述

刻面内的图例

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

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)

在此处输入图像描述

于 2020-06-23T14:10:46.533 回答
0

除此之外gridExtra，cowplot还有，patchwork现在也在游戏中。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)

在此处输入图像描述

您也可以手动组合图，看看这里。我将 OP 的数据用于df.

于 2021-06-01T15:08:32.287 回答