Plotrix可能更容易，但可以反汇编ggplot图表，并将它们排列为金字塔图 . 使用@ eipi10的数据(谢谢)，并调整drawing-pyramid-plot-using-r-and-ggplot2中的代码，我为"males"，"females"和"country"标签绘制了单独的图 . 此外，我从其中一个地块中获取了一个传奇 . 诀窍是让左侧图表的刻度线出现在图表的右侧 - 我改编了mirroring-axis-ticks-in-ggplot2的代码 . 四个位("female"图，国家标签，"male plot"和图例)使用gtable函数放在一起 .
Minor edit: Updating to ggplot2 2.2.1
# Packages
library(plyr)
library(ggplot2)
library(scales)
library(gtable)
library(stringr)
library(grid)
# Data
mov
41.5,31.3,60.7,50.4)
fov
12.3,10,0.8)
fob
25.5,25.3,31.7,28.4)
mob
12.3,10,0.8)
labs
"iceland","portugal","austria","switzerland","australia",
"new zealand","dubai","south africa",
"finland","italy","morocco")
df = data.frame(labs=rep(labs,4), values=c(mov, mob, fov, fob),
sex=rep(c("Male", "Female"), each=2*length(fov)),
bmi = rep(rep(c("Overweight", "Obese"), each=length(fov)),2))
# Order countries by overall percent overweight/obese
labs.order = ddply(df, .(labs), summarise, sum=sum(values))
labs.order = labs.order$labs[order(labs.order$sum)]
df$labs = factor(df$labs, levels=labs.order)
# Common theme
theme = theme(panel.grid.minor = element_blank(),
panel.grid.major = element_blank(),
axis.text.y = element_blank(),
axis.title.y = element_blank(),
plot.title = element_text(size = 10, hjust = 0.5))
#### 1. "male" plot - to appear on the right
ggM
geom_bar(aes(y = values/100, fill = bmi), stat = "identity") +
scale_y_continuous('', labels = percent, limits = c(0, 1), expand = c(0,0)) +
labs(x = NULL) +
ggtitle("Male") +
coord_flip() + theme +
theme(plot.margin= unit(c(1, 0, 0, 0), "lines"))
# get ggplot grob
gtM
#### 4. Get the legend
leg = gtM$grobs[[which(gtM$layout$name == "guide-box")]]
#### 1. back to "male" plot - to appear on the right
# remove legend
legPos = gtM$layout$l[grepl("guide", gtM$layout$name)] # legend's position
gtM = gtM[, -c(legPos-1,legPos)]
#### 2. "female" plot - to appear on the left -
# reverse the 'Percent' axis using trans = "reverse"
ggF
geom_bar(aes(y = values/100, fill = bmi), stat = "identity") +
scale_y_continuous('', labels = percent, trans = 'reverse',
limits = c(1, 0), expand = c(0,0)) +
labs(x = NULL) +
ggtitle("Female") +
coord_flip() + theme +
theme(plot.margin= unit(c(1, 0, 0, 1), "lines"))
# get ggplot grob
gtF
# remove legend
gtF = gtF[, -c(legPos-1,legPos)]
## Swap the tick marks to the right side of the plot panel
# Get the row number of the left axis in the layout
rn
# Extract the axis (tick marks and axis text)
axis.grob
axisl
# axisl # Note: two grobs - text and tick marks
# Get the tick marks - NOTE: tick marks are second
yaxis = axisl$grobs[[2]]
yaxis$x = yaxis$x - unit(1, "npc") + unit(2.75, "pt") # Reverse them
# Add them to the right side of the panel
# Add a column to the gtable
panelPos = gtF$layout[grepl("panel", gtF$layout$name), c('t','l')]
gtF
# Add the grob
gtF
# Remove original left axis
gtF = gtF[, -c(2,3)]
#### 3. country labels - create a plot using geom_text - to appear down the middle
fontsize = 3
ggC
geom_bar(stat = "identity", aes(y = 0)) +
geom_text(aes(y = 0, label = labs), size = fontsize) +
ggtitle("Country") +
coord_flip() + theme_bw() + theme +
theme(panel.border = element_rect(colour = NA))
# get ggplot grob
gtC
# Get the title
Title = gtC$grobs[[which(gtC$layout$name == "title")]]
# Get the plot panel
gtC = gtC$grobs[[which(gtC$layout$name == "panel")]]
#### Arrange the components
## First, combine "female" and "male" plots
gt = cbind(gtF, gtM, size = "first")
## Second, add the labels (gtC) down the middle
# add column to gtable
maxlab = labs[which(str_length(labs) == max(str_length(labs)))]
gt = gtable_add_cols(gt, sum(unit(1, "grobwidth", textGrob(maxlab, gp = gpar(fontsize = fontsize*72.27/25.4))), unit(5, "mm")),
pos = length(gtF$widths))
# add the grob
gt = gtable_add_grob(gt, gtC, t = panelPos$t, l = length(gtF$widths) + 1)
# add the title; ie the label 'country'
titlePos = gtF$layout$l[which(gtF$layout$name == "title")]
gt = gtable_add_grob(gt, Title, t = titlePos, l = length(gtF$widths) + 1)
## Third, add the legend to the right
gt = gtable_add_cols(gt, sum(leg$width), -1)
gt = gtable_add_grob(gt, leg, t = panelPos$t, l = length(gt$widths))
# draw the plot
grid.newpage()
grid.draw(gt)
