我不知道我是否在标题中正确表达了自己的意思，但我希望当您看到以下数字时，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”对其进行分面。但是，仅对于类型“ PAH”，我希望根据“组”具有其他方面。下图是我能够编写和绘制的最好的图片，它并不是我想要的：
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$type)=="alkanes"] <- "n-alkanes" #if needed to change specific labels in a column
ggplot(all, aes(x=hydrocarbons, y=average)) +
geom_bar(position = position_dodge(), stat="identity", fill="gray32") +
geom_errorbar(aes(ymin=average-SD, ymax=average+SD), color="gray8") +
facet_wrap(~type, scales="free", ncol=1) +
ylab("Half-life [d]") + xlab("Hydrocarbons") +
theme(axis.text.x=element_text(size=12, color="black", angle=45, hjust=1),
axis.title.x = element_text(size=14, face="bold", vjust=-0.7),
axis.title.y = element_text(size=14, face="bold", vjust=2),
axis.text.y = element_text(size=12, colour="black"))
现在的问题是，是否有可能制作一个图形，使我能够在现有的图形中仅根据“组”对“ PAH”类型制作一个附加的刻面？图形将如下所示：
如果可能的话，为“ PAH”制作第二个x轴对我来说也是可行的，它将根据“组”进行排列。
谢谢，
德尼
最佳答案
我认为您将需要深入研究ggplot结构。这种方法采用原始图，但会放下中间面板（但保留空间）。我将中间面板构造为单独的图，包括“ PAHs”级别的方面。我从该图提取相关材料（图板，条形图，x轴和y轴），然后将其插入原始图的空白区域。然后，我构造一个新的条以包含变量名“ PAHs”。该方法确保三个面板的高度相同，unit(1, "null")。 （有关我使用的all数据框，请参见下面的图。）
较小的编辑：更新到ggplot2 2.2.1
library(ggplot2)
library(gtable)
library(grid)
all$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)
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))