将传说中GGPLOT2每个facet_wrap网格(Place a legend for each

我有这样的数据帧：

        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))

我想提出一个传奇紧挨着facet_wrap电网，自己的FileSystem ：

当我做到这一点，它把传说中的情节为所有的侧FileSystem 。是否有可能把FileSystem属于每个服务器旁边的每个网格？

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)

Answer 1:

咩，@joran打我给它（我的gridExtra已经过时，但我花了10分钟，以实现它）。这里有一个类似的解决方案，但是这一次在水平一般的皮肤猫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))

Answer 2:

要做到这一点，最好的办法是与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)

Answer 3:

除了使用方面，我们可以使每个组地块的名单，然后使用cowplot :: plot_grid用于绘图。每次都会有它自己的传奇：

# 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))

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