我想在facet wrap的标签中创建两种不同大小的文本.
例如:
test <- read.csv(paste0(path, "Costello Artvgl2 for Stack.csv"), sep = ";", dec = ",", header = T)
str(test)
test$Wert <- factor(test$Wert, levels = c("one","two","three","four","five","six"))
test$Sampling.site <- factor(test$Sampling.site, levels = c("Species X Area T","Species Y Area T","Species X Area A","Species Y Area B","Species X Area B","Species Y Area C"))
levels(test$Sampling.site) <- c("Species X\nTotal catch (n=133)", "Species Y\nTotal catch (n=185)", "Species X\nSampling area A (n=57)", "Species Y\nSampling area B (n=122)",
"Species X\nSampling area B (n=76)", "Species Y\nSampling area C (n=63)")
theme_new <- function(base_size = 12, base_family = base_family){
theme_bw(base_size = base_size) %+replace%
theme(
axis.text.x = element_text(size = 8 ),
axis.text.y = element_text(size = 8 ),
axis.title.x = element_text(size = 12, vjust = 0.01),
axis.title.y = element_text(size = 12, vjust = 0.9, angle = 90),
plot.title = element_text(size = 10, face = "bold"),
legend.key= element_rect(colour= NA, fill =NA, size = 0.5),
legend.key.size = unit(1, "lines"),
legend.text = element_text(size = 8),
legend.title = element_blank(),
strip.background = element_rect(fill = NA, colour = NA),
strip.text = element_text(size = 8, face = "bold",hjust = 0.5, vjust = 0.9),
panel.background = element_rect(fill = "white"),
panel.border = element_rect(fill = NA, colour="black"),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.margin = unit(1, "lines")
)
}
ggplot(test, aes(Fi, Pi),group=Wert)+
geom_point(aes(colour = factor(Wert),shape = factor(Wert)),size=3) +
scale_shape_manual(values=c(20,18,19,15,16,17))+
scale_x_continuous(limits=c(0, 1),breaks=c(0,0.2,0.4,0.6,0.8,1.0))+
scale_colour_brewer(type = "qual", palette = "Paired")+
scale_y_continuous(limits=c(0, 100),breaks=c(0,20,40,60,80,100))+
labs(x = "Frequency of occurrence", y = "Prey-specific abundance [%]")+
facet_wrap(~Sampling.site,scales = "free",ncol = 2) +
theme_new()
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有没有可能意识到这一点?
下面的解决方案是一个hack,因为它使用上标(或下标)来获得facet标签的第二行的较小字体大小.我不确定如何更好地控制标签尺寸而不需要直接操纵条带凹凸,尽管可能有一种方法来编写一个labeller
函数来完成它.
我们将使用内置mtcars
数据框作为示例.首先,我们将添加将用于刻面和标注的列.我们将cyl
面对,但我们希望标签的第一行显示该facet的柱面数,第二行显示该facet中的数据点数.为此,我们将创建两个新列mtcars
,调用Label1
并Label2
用于创建构面标签的每一行.我们将通过这两列来获取图中我们想要的标签.(Label3
类似于Label2
,但使用下标而不是上标;这仅在您想要更改从第二行底部到绘图面板顶部的距离时才有意义.)
Label1
并且Label2
是文本字符串,但它们是表达式的形式,因此我们可以label_parsed
在创建绘图时使用较小的下标文本.
library(ggplot2)
library(dplyr)
library(grid)
mtcars.new = mtcars %>% group_by(cyl) %>%
summarise(Label1=paste0("bold(Cylinders:~", unique(cyl),")"),
Label2=paste0("bold(NULL[Count:~", length(cyl),"])"),
Label3=paste0("bold(NULL^{Count:~", length(cyl),"})")) %>%
full_join(mtcars)
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现在我们可以创建情节了.切面Label1
并Label2
给我们两行.因为我们为其创建了一个下标表达式Label2
,所以当我们label_parsed
用来标注facet 时,它会以较小的字体呈现.Label2
相对而言Label1
,我更喜欢相对较大,但是没有办法用这种(hacky)方法来控制它.此外,虽然element_text
有一个lineheight
参数,ggplot似乎并不尊重它.因此,我手动重置条带标签的线高,以减少两个标签之间的空间.
p = ggplot(mtcars.new, aes(wt, mpg)) +
geom_point() +
facet_grid(. ~ Label1 + Label2, labeller=label_parsed) +
theme_bw() +
theme(strip.background=element_rect(fill=NA, color=NA),
strip.text=element_text(size=12))
g <- ggplotGrob(p)
g$heights[[3]] = unit(0.5,"lines")
grid.draw(g)
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