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如何添加不同大小和颜色的ggplot2字幕？

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我正在使用ggplot2来改善降水条件 .

这是我想要实现的可重现的例子：

library(ggplot2)
library(gridExtra)
secu <- seq(1, 16, by=2)
melt.d <- data.frame(y=secu, x=LETTERS[1:8])
m <- ggplot(melt.d, aes(x=x, y=y)) +
  geom_bar(fill="darkblue") + 
  labs(x="Weather    stations", y="Accumulated Rainfall [mm]") +
  opts(axis.text.x=theme_text(angle=-45, hjust=0, vjust=1),
       title=expression("Rainfall"), plot.margin = unit(c(1.5, 1, 1, 1), "cm"),
       plot.title = theme_text(size = 25, face = "bold", colour = "black", vjust = 5))
z <- arrangeGrob(m, sub = textGrob("Location", x = 0, hjust = -3.5, vjust = -33, gp = gpar(fontsize = 18, col = "gray40"))) #Or guessing x and y with just option
z

我不知道如何避免在gjplot2上的hjust和vjust上使用猜测数字？是否有更好的方法来放置字幕（不只是使用\ n，而是使用不同文本颜色和大小的字幕）？

我需要能够使用ggsave来获得pdf文件 .

以下是两个相关问题：

Add a footnote citation outside of plot area in R?

How can I add a subtitle and change the font size of ggplot plots in R?

谢谢你的帮助 .

r ggplot2 subtitle

7 回答

  • 6

    最新的ggplot2版本（即2.1.0.9000或更新版本）具有字幕和低于 Headers 的字幕作为内置功能 . 这意味着你可以这样做：

    library(ggplot2) # 2.1.0.9000+ 

secu <- seq(1, 16, by=2)
melt.d <- data.frame(y=secu, x=LETTERS[1:8])

m <-  ggplot(melt.d, aes(x=x, y=y))
m <- m + geom_bar(fill="darkblue", stat="identity")
m <- m + labs(x="Weather    stations", 
              y="Accumulated Rainfall [mm]",
              title="Rainfall",
              subtitle="Location")
m <- m + theme(axis.text.x=element_text(angle=-45, hjust=0, vjust=1)) 
m <- m + theme(plot.title=element_text(size=25, hjust=0.5, face="bold", colour="maroon", vjust=-1))
m <- m + theme(plot.subtitle=element_text(size=18, hjust=0.5, face="italic", color="black"))
m
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  • 7

    Ignore this answer ggplot2 2.2.0版具有 Headers 和副 Headers 功能 . 请参阅@ hrbrmstr的回答below .

    您可以在 expression 中使用嵌套的 atop 函数来获得不同的大小 .

    EDIT 更新了ggplot2 0.9.3的代码

    m <-  ggplot(melt.d, aes(x=x, y=y)) + 
     geom_bar(fill="darkblue", stat = "identity") + 
     labs(x="Weather    stations", y="Accumulated Rainfall [mm]") + 
     ggtitle(expression(atop("Rainfall", atop(italic("Location"), "")))) +
     theme(axis.text.x = element_text(angle=-45, hjust=0, vjust=1), 
     #plot.margin = unit(c(1.5, 1, 1, 1), "cm"), 
     plot.title = element_text(size = 25, face = "bold", colour = "black", vjust = -1))

    enter image description here

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  • 1

    似乎 opts 从ggplot 2 0.9.1开始被弃用，不再起作用 . 这适用于我今天的最新版本： + ggtitle(expression(atop("Top line", atop(italic("2nd line"), "")))) .

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  • 80

    将gbs添加到gtable并以这种方式制作一个花哨的 Headers 并不太难，

    library(ggplot2)
library(grid)
library(gridExtra)
library(magrittr)
library(gtable)

p <- ggplot() + 
  theme(plot.margin = unit(c(0.5, 1, 1, 1), "cm"))

lg <- list(textGrob("Rainfall", x=0, hjust=0, 
                    gp = gpar(fontsize=24, fontfamily="Skia", face=2, col="turquoise4")),
               textGrob("location", x=0, hjust=0, 
                        gp = gpar(fontsize=14, fontfamily="Zapfino", fontface=3, col="violetred1")),
           pointsGrob(pch=21, gp=gpar(col=NA, cex=0.5,fill="steelblue")))

margin <- unit(0.2, "line")
tg <- arrangeGrob(grobs=lg, layout_matrix=matrix(c(1,2,3,3), ncol=2),
                  widths = unit.c(grobWidth(lg[[1]]), unit(1,"null")),
                  heights = do.call(unit.c, lapply(lg[c(1,2)], grobHeight)) + margin)

grid.newpage()
ggplotGrob(p) %>%
  gtable_add_rows(sum(tg$heights), 0) %>%
  gtable_add_grob(grobs=tg, t = 1, l = 4)  %>%
  grid.draw()

    enter image description here

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  • 73

    此版本使用 gtable 函数 . 它允许 Headers 中有两行文本 . 每行的文本，大小，颜色和字体可以独立设置 . 但是，该功能仅使用单个绘图面板修改绘图 .

    Minor edit: Updating to ggplot2 v2.0.0

    # The original plot
library(ggplot2)

secu <- seq(1, 16, by = 2)
melt.d <- data.frame(y = secu, x = LETTERS[1:8])

m <- ggplot(melt.d, aes(x = x, y = y)) + 
     geom_bar(fill="darkblue", stat = "identity") + 
     labs(x = "Weather    stations", y = "Accumulated Rainfall [mm]") + 
     theme(axis.text.x = element_text(angle = -45, hjust = 0, vjust = 1))


# The function to set text, size, colour, and face
plot.title = function(plot = NULL, text.1 = NULL, text.2 = NULL, 
   size.1 = 12,  size.2 = 12,
   col.1 = "black", col.2 = "black", 
   face.1 = "plain",  face.2 = "plain") {

library(gtable)
library(grid)

gt = ggplotGrob(plot)

text.grob1 = textGrob(text.1, y = unit(.45, "npc"), 
   gp = gpar(fontsize = size.1, col = col.1, fontface = face.1))
text.grob2 = textGrob(text.2,  y = unit(.65, "npc"), 
   gp = gpar(fontsize = size.2, col = col.2, fontface = face.2))

text = matrix(list(text.grob1, text.grob2), nrow = 2)
text = gtable_matrix(name = "title", grobs = text, 
   widths = unit(1, "null"), 
   heights = unit.c(unit(1.1, "grobheight", text.grob1) + unit(0.5, "lines"), unit(1.1,  "grobheight", text.grob2) + unit(0.5, "lines")))

gt = gtable_add_grob(gt, text, t = 2, l = 4)
gt$heights[2] = sum(text$heights)

class(gt) =  c("Title", class(gt))

gt
}

# A print method for the plot
print.Title <- function(x) {
   grid.newpage()   
   grid.draw(x)
}


# Try it out - modify the original plot
p = plot.title(m, "Rainfall", "Location", 
   size.1 = 20, size.2 = 15, 
   col.1 = "red", col.2 = "blue", 
   face.2 = "italic")

p

    enter image description here

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  • 7

    你可以使用在grid.arrange中包装图并传递一个自定义的基于网格的 Headers ，

    enter image description here

    library(ggplot2)
library(gridExtra)

p <- ggplot() + 
  theme(plot.margin = unit(c(0.5, 1, 1, 1), "cm"))

tg <- grobTree(textGrob("Rainfall", y=1, vjust=1, gp = gpar(fontsize=25, face=2, col="black")),
               textGrob("location", y=0, vjust=0, gp = gpar(fontsize=12, face=3, col="grey50")),
               cl="titlegrob")
heightDetails.titlegrob <- function(x) do.call(sum,lapply(x$children, grobHeight))

grid.arrange(p, top = tg)
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  • 2

    你可能已经注意到Sandy的代码没有为“Rainfall”生成一个粗体 Headers - 使这个粗体的指令应该出现在atop（）函数而不是theme（）函数中 .

    ggplot(melt.d, aes(x=x, y=y)) + 
 geom_bar(fill="darkblue", stat = "identity") + 
 labs(x="Weather    stations", y="Accumulated Rainfall [mm]") + 
 ggtitle(expression(atop(bold("Rainfall"), atop(italic("Location"), "")))) +
 theme(axis.text.x = element_text(angle=-45, hjust=0, vjust=1),
 plot.title = element_text(size = 25, colour = "black", vjust = -1))

    enter image description here

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