ggplot2：在facet中创建构面

时间：2015-11-05 08:34:19

标签： r ggplot2 facet facet-wrap

我不知道我是否在标题中正确表达了自己，但我希望你看到下面的数字时很容易理解。 首先，这是我的数据：

hydrocarbons    average SD  type    group
N   6,21    4,632774217 PAHs    Naphtalenes
N1  4,71    2,43670665  PAHs    Naphtalenes
N2  7,6 3,266286228 PAHs    Naphtalenes
N3  16,18   11,00643289 PAHs    Naphtalenes
N4  18,8    4,59631824  PAHs    Naphtalenes
F   16,87   7,022165062 PAHs    Fluorenes
F1  16,64   5,721267073 PAHs    Fluorenes
F2  18,67   8,467132345 PAHs    Fluorenes
F3  22,79   0,988021105 PAHs    Fluorenes
P   7,97    0,211647391 PAHs    Phenanthrenes
P1  26,66   16,64819987 PAHs    Phenanthrenes
P2  21,72   4,416811664 PAHs    Phenanthrenes
P3  18,99   4,635405486 PAHs    Phenanthrenes
P4  66,28   7,706085861 PAHs    Phenanthrenes
D   8,33    0,89862145  PAHs    Dibenzothiophenes
D1  8,63        PAHs    Dibenzothiophenes
D2  9,57        PAHs    Dibenzothiophenes
D3  20,69   3,453922632 PAHs    Dibenzothiophenes
D4  32,5    8,191613185 PAHs    Dibenzothiophenes
FL  10,37       PAHs    Fluoranthenes
PY  10,53       PAHs    Fluoranthenes
FL1 24,42   8,886055918 PAHs    Fluoranthenes
FL2 42,52   9,466539232 PAHs    Fluoranthenes
FL3 51,99   15,77786373 PAHs    Fluoranthenes
C   74,28   9,560499532 PAHs    Chrysenes
C1  46,56   15,86163409 PAHs    Chrysenes
C2  82,85   4,854714782 PAHs    Chrysenes
C3  114,42  41,70884318 PAHs    Chrysenes
nC-10   2,24        alkanes 
nC-11   2,24        alkanes 
nC-12   4,85    1,414267191 alkanes 
nC-13   5,54    0,089306765 alkanes 
nC-14   6,81    0,241222891 alkanes 
nC-15   5,56        alkanes 
nC-16   5,95        alkanes 
nC-17   5,82        alkanes 
nC-18   5,7     alkanes 
nC-19   6,41        alkanes 
nC-20   7,36        alkanes 
nC-21   6,24        alkanes 
nC-22   6,07        alkanes 
nC-23   6,35        alkanes 
nC-24   7,32        alkanes 
nC-25   6,6 2,215395794 alkanes 
nC-26   5,97    1,839829721 alkanes 
nC-27   6,51    1,972060107 alkanes 
nC-28   7,57    1,797509743 alkanes 
nC-29   8,37    3,004883333 alkanes 
nC-30   9,05    3,503601406 alkanes 
nC-31   10,27   4,242811665 alkanes 
nC-32   11,5    5,087821955 alkanes 
nC-33   14,31   8,085948386 alkanes 
nC-34   16,96   10,10105484 alkanes 
nC-35   20,52   14,1878649  alkanes 
nC-36   21,88   13,40071226 alkanes 
n-C5 (Pentane)  10,63   1,715015757 VOCs    
n-C6 (Hexane)   1,74    0,859880844 VOCs    
n-C7 (Heptane)  9,62    4,316473516 VOCs    
n-C9 (Nonane)   2,34    0,044641    VOCs    
Benzene 23,51   0,631882255 VOCs    
Toluene 18,48   2,369137637 VOCs    
Ethylbenzene    7,55    7,171631537 VOCs    
m-Xylene    12,53   7,250491275 VOCs    
p-Xylene    15,21   1,800247445 VOCs    
o-Xylene    21,96   2,184177383 VOCs    
Propylbenzene   12,8    15,31136895 VOCs    
n-Butylbenzene  9,33    5,486543125 VOCs    
n-Pentylbenzene 6,77    0,420247353 VOCs

我想绘制我的碳氢化合物的半衰期（“平均值”）并根据“类型”对其进行划分。但是，仅针对“PAHs”类型，我希望根据“组”提供额外的方面。我能够编码和绘制的最好的是下图，它不是我想要的： hydrocarbon_halflifes

这是我正在使用的代码：

all <- read.delim2("E#6-results_chemistry.txt", header=TRUE)
library(ggplot2)
all$hydrocarbons <- factor(all$hydrocarbons, levels = all$hydrocarbons) #keeps the order of x-axis same as in table
levels(all$type)[levels(all$type)=="alkanes"] <- "n-alkanes" #if needed to change specific labels in a column
ggplot(all, aes(x=hydrocarbons, y=average)) +
  geom_bar(position = position_dodge(), stat="identity", fill="gray32") + 
  geom_errorbar(aes(ymin=average-SD, ymax=average+SD), color="gray8") + 
  facet_wrap(~type, scales="free", ncol=1) +
  ylab("Half-life [d]") + xlab("Hydrocarbons") +
  theme(axis.text.x=element_text(size=12, color="black", angle=45, hjust=1),
axis.title.x = element_text(size=14, face="bold", vjust=-0.7), 
axis.title.y = element_text(size=14, face="bold", vjust=2),
axis.text.y = element_text(size=12, colour="black"))

现在，问题是，是否可以制作一个图形，我可以在现有图形中创建一个额外的构面条，仅根据“组”的“PAH”类型？图形看起来像这样： facet_in_facet

如果可能的话，对我来说也可以为“PAHs”制作第二个x轴，它将根据“组”进行排列。

谢谢， 德尼

1 个答案:

答案 0 :(得分：4)

我认为你需要深入研究ggplot结构。这种方法采用原始图，但放下中间面板（但保留空间）。我将中间面板构建为单独的图，包括“PAHs”级别的方面。我从该图中提取相关材料（绘图面板，条带，x轴和y轴）以将其插入原始图中的空白空间。然后，我构造一个新的条带来包含变量名称'PAHs'。该方法确保三个面板的高度相同，unit(1, "null")。 （在我使用的all数据框的图之后见下文。）

次要编辑：更新到ggplot2 2.2.1 

library(ggplot2)
library(gtable)
library(grid)
all$hydrocarbons <- factor(all$hydrocarbons, levels = all$hydrocarbons) #keeps the order of x-axis same as in table
   levels(all$type)[levels(all$type)=="alkanes"] <- "n-alkanes" #if needed to change specific labels in a column

# Original plot
pAll <- ggplot(all, aes(x = hydrocarbons, y = average)) +
  geom_bar(position = position_dodge(), stat="identity", fill = "gray32") + 
  geom_errorbar(aes(ymin = average-SD, ymax = average+SD), color = "gray8") + 
  facet_wrap( ~ type, scales = "free", ncol = 1) +
  ylab("Half-life [d]") + xlab("Hydrocarbons") +
  theme(axis.text.x = element_text(size = 12, color = "black", angle = 45, hjust = 1),
     axis.title.x = element_text(size = 14, face = "bold", vjust = -0.7), 
     axis.title.y = element_text(size = 14, face = "bold", vjust = 2),
     axis.text.y = element_text(size = 12, colour = "black"))

# Middle plot, but with facets for 'PAHs'
pMid <- ggplot(subset(all, type == "PAHs"), aes(x = hydrocarbons, y = average)) +
  geom_bar(position = position_dodge(), stat = "identity", fill = "gray32") + 
  geom_errorbar(aes(ymin = average - SD, ymax = average + SD), color = "gray8") + 
  facet_grid(. ~ group, scales = "free", space = "free") +
  ylab("Half-life [d]") + 
  theme(axis.text.x = element_text(size = 12, color = "black", angle = 45, hjust = 1),
     axis.title.x = element_text(size = 14, face = "bold", vjust = -0.7), 
     axis.title.y = element_text(size = 14, face = "bold", vjust = 2),
     axis.text.y = element_text(size = 12, colour = "black"))

# Get the ggplot grobs
gAll <- ggplotGrob(pAll)
gMid <- ggplotGrob(pMid)

# In gMid, get the positions of the panels in the layout: t = top, l = left, ...
pos1 <- c(subset(gMid$layout, grepl("panel", gMid$layout$name), select = t:r))

# Extract 'panels' (along with x-axis and strips)
panels <- gMid[(unique(pos1$t) - 1) : (unique(pos1$t) + 1), min(pos1$l) : max(pos1$l)]
# Extract 'axisL' - y-axis
axisL <- gMid[unique(pos1$t), min(pos1$l) - 1]

# In gAll, get the positions of the panel of the middle plot in the layout
pos2 <- c(subset(gAll$layout, grepl("panel", gAll$layout$name), select = t:r))
pos2 <- lapply(pos2, "[", 2)

# Drop original panel material in the middle plot
drop <- gAll$layout$name %in% c("panel-1-2", "strip-t-1-2", "axis-b-1-2", "axis-l-2-1")
gAll$grobs[drop] <- NULL
gAll$layout <- gAll$layout[!drop,]

# Add new 'panels' to gAll
gAll <- gtable_add_grob(gAll, panels, t = pos2$t-1, l = pos2$l, b = pos2$t+1,  name = "panels")

# Add new 'axisL' to gAll
gAll <- gtable_add_grob(gAll, axisL, t = pos2$t, l = pos2$l-1, name = "strips")

# Add row above the current strips
gAll <- gtable_add_rows(gAll, gAll$heights[pos2$t-1], pos2$t-2)  

# Add grob, a new strip containing variable name 'PAHs', into the new row
gAll <- gtable_add_grob(gAll, 
  list(rectGrob(gp = gpar(col = NA, fill = "gray85")),
       textGrob("PAHs", gp = gpar(fontsize = 9.6))), 
  t = pos2$t-1, l = pos2$l, name = c("background", "text"))

# Add a small gap between the strips
gAll <- gtable_add_rows(gAll, unit(1/10, "line"), pos2$t-1)

# Probably not needed, but if axisB font size in pMid is different from pAll
gAll$heights[pos2$t + 3] <- gMid$heights[unique(pos1$t) + 1]

# Draw it
grid.newpage()
grid.draw(gAll)

enter image description here 




all = structure(list(hydrocarbons = structure(c(21L, 28L, 29L, 30L, 
31L, 12L, 13L, 14L, 15L, 60L, 62L, 63L, 64L, 65L, 6L, 7L, 8L, 
9L, 10L, 16L, 67L, 17L, 18L, 19L, 2L, 3L, 4L, 5L, 32L, 33L, 34L, 
35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 
48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 23L, 24L, 
25L, 26L, 1L, 68L, 11L, 20L, 61L, 59L, 66L, 22L, 27L), .Label = c("Benzene", 
"C", "C1", "C2", "C3", "D", "D1", "D2", "D3", "D4", "Ethylbenzene", 
"F", "F1", "F2", "F3", "FL", "FL1", "FL2", "FL3", "m-Xylene", 
"N", "n-Butylbenzene", "n-C5 (Pentane)", "n-C6 (Hexane)", "n-C7 (Heptane)", 
"n-C9 (Nonane)", "n-Pentylbenzene", "N1", "N2", "N3", "N4", "nC-10", 
"nC-11", "nC-12", "nC-13", "nC-14", "nC-15", "nC-16", "nC-17", 
"nC-18", "nC-19", "nC-20", "nC-21", "nC-22", "nC-23", "nC-24", 
"nC-25", "nC-26", "nC-27", "nC-28", "nC-29", "nC-30", "nC-31", 
"nC-32", "nC-33", "nC-34", "nC-35", "nC-36", "o-Xylene", "P", 
"p-Xylene", "P1", "P2", "P3", "P4", "Propylbenzene", "PY", "Toluene"
), class = "factor"), average = c(6.21, 4.71, 7.6, 16.18, 18.8, 
16.87, 16.64, 18.67, 22.79, 7.97, 26.66, 21.72, 18.99, 66.28, 
8.33, 8.63, 9.57, 20.69, 32.5, 10.37, 10.53, 24.42, 42.52, 51.99, 
74.28, 46.56, 82.85, 114.42, 2.24, 2.24, 4.85, 5.54, 6.81, 5.56, 
5.95, 5.82, 5.7, 6.41, 7.36, 6.24, 6.07, 6.35, 7.32, 6.6, 5.97, 
6.51, 7.57, 8.37, 9.05, 10.27, 11.5, 14.31, 16.96, 20.52, 21.88, 
10.63, 1.74, 9.62, 2.34, 23.51, 18.48, 7.55, 12.53, 15.21, 21.96, 
12.8, 9.33, 6.77), SD = c(4.632774217, 2.43670665, 3.266286228, 
11.00643289, 4.59631824, 7.022165062, 5.721267073, 8.467132345, 
0.988021105, 0.211647391, 16.64819987, 4.416811664, 4.635405486, 
7.706085861, 0.89862145, NA, NA, 3.453922632, 8.191613185, NA, 
NA, 8.886055918, 9.466539232, 15.77786373, 9.560499532, 15.86163409, 
4.854714782, 41.70884318, NA, NA, 1.414267191, 0.089306765, 0.241222891, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 2.215395794, 1.839829721, 
1.972060107, 1.797509743, 3.004883333, 3.503601406, 4.242811665, 
5.087821955, 8.085948386, 10.10105484, 14.1878649, 13.40071226, 
1.715015757, 0.859880844, 4.316473516, 0.044641, 0.631882255, 
2.369137637, 7.171631537, 7.250491275, 1.800247445, 2.184177383, 
15.31136895, 5.486543125, 0.420247353), type = structure(c(2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L), .Label = c("alkanes", "PAHs", "VOCs"), class = "factor"), 
    group = structure(c(6L, 6L, 6L, 6L, 6L, 5L, 5L, 5L, 5L, 7L, 
    7L, 7L, 7L, 7L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 2L, 
    2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("", 
    "Chrysenes", "Dibenzothiophenes", "Fluoranthenes", "Fluorenes", 
    "Naphtalenes", "Phenanthrenes"), class = "factor")), .Names = c("hydrocarbons", 
"average", "SD", "type", "group"), class = "data.frame", row.names = c(NA, 
-68L))
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