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)
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)
答案 1 :(得分:25)
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$Server, FUN = function(m) {
m <- droplevels(m)
m <- ggplot(m, aes(Date, PercentUsed, group=1, colour = FileSystem)) +
geom_jitter(size=2) + geom_smooth(method="loess", se=T)
})
do.call(grid.arrange, out)
# If you want to supply the parameters to grid.arrange
do.call(grid.arrange, c(out, ncol=3))
答案 2 :(得分:4)
我们可以创建每个组的绘图列表,然后使用 cowplot :: plot_grid 进行绘图,而不是使用facet。每个人都有它自己的传奇:
# make list of plots
ggList <- lapply(split(x, x$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。
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。
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)
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)
答案 4 :(得分:0)
除了gridExtra
和cowplot
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)
您也可以手动组合图,看看here。我将 OP 的数据用于 df
。