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跟着GlobalChangeBiology学作图:R语言ggplot2点线图(2)给分面添加注释
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论文

Changes in plant inputs alter soil carbon and microbial communities in forest

本地pdf Global Change Biology - 2022 - Feng - Changes in plant inputs alter soil carbon and microbial communities in forest.pdf

今天的推文重复一下论文中的Figure3,这个是之前有读者在公众号后台的留言,之前我不知道怎么实现这种好几个子图中间没有空白的形式,有读者留言可以用分面然后调节主题里的参数panel.spacing = unit(0,'lines'),有了基本思路就可以尝试一下这个图




image.png

今天的推文主要介绍如何给每个分面单独添加注释,这里需要用到一个自定义函数

annotation_custom2 <- function (grob, xmin = -Inf, xmax = Inf, ymin = -Inf, ymax = Inf, data) { layer(data = data, stat = StatIdentity, position = PositionIdentity, geom = ggplot2:::GeomCustomAnn, inherit.aes = TRUE, params = list(grob = grob, xmin = xmin, xmax = xmax, ymin = ymin, ymax = ymax)) }

之前的推文的代码

library(readxl) dat<-read_excel("data/20220804/example_df.xlsx") dat library(ggplot2) ggplot(data=dat,aes(x=x,y=y))+ geom_errorbarh(aes(xmin=x-sd_value, xmax=x+sd_value, color=group02), height=0, show.legend = FALSE)+ geom_point(aes(color=group02), size=5, show.legend = TRUE) ggplot(data=dat,aes(x=x,y=y))+ geom_errorbarh(aes(xmin=x-sd_value, xmax=x+sd_value, color=group02), height=0, show.legend = FALSE)+ geom_point(aes(color=group02), size=5, show.legend = TRUE)+ facet_wrap(~group01)+ theme_bw()+ theme(panel.spacing = unit(0,'lines'), panel.background = element_blank(), axis.line = element_line(), panel.grid = element_blank(), axis.ticks.y = element_blank(), strip.text = element_text(hjust = 0)) ggplot(data=dat,aes(x=x,y=y))+ geom_errorbarh(aes(xmin=x-sd_value, xmax=x+sd_value, color=group02), height=0, show.legend = FALSE)+ geom_point(aes(color=group02), size=5, show.legend = TRUE)+ facet_wrap(~group01)+ theme_bw()+ theme(panel.spacing = unit(0,'lines'), panel.background = element_blank(), axis.line = element_line(), panel.grid = element_blank(), axis.ticks.y = element_blank(), strip.text = element_text(hjust = 0))+ labs(y="",x=NULL)+ scale_x_continuous(limits = c(-30,30), breaks = seq(-30,30,10))+ scale_y_continuous(limits = c(0.5,3.5), breaks = c(1,2,3), labels=c("SOC concentration", "SOC stock", "SOC concentration"), expand = expansion(mult = c(0,0)))+ geom_vline(xintercept = 0, color="gray", lty="dashed")+ geom_hline(yintercept = 1, color="gray", lty="dashed")+ geom_hline(yintercept = 2, color="gray", lty="dashed")+ geom_hline(yintercept = 3, color="gray", lty="dashed") -> p0 p0 p0+ scale_color_manual(values = c( "A"="#b856d7", "B"="#55a0fb", "C"="#0f99b2", "D"="#ffa040", "E"="#008000" ), labels=c( "A"="Litter addition", "B"="Litter removal", "C"="Root removal", "D"="Litter effect", "E"="Root effect" ))+ theme(legend.position = "bottom", legend.title = element_blank()) -> p1 p1


image.png

在这个图的基础上添加注释信息

比如在第一个分面添加一个文本

library(tidyverse) p1+ annotation_custom2( data = dat %>% filter(group01=="(a) Litter addition vs. removal"), grob = grid::textGrob(label="A"), xmin=-30,xmax=-30, ymin=0.8,ymax=0.8)


image.png

这个一次性只能添加一个文本,如果文本比较多,可能需要写一个循环

xmin<-c(-30,-30,-30,-30,-30,-30,15,15,15) xmax<-c(-30,-30,-30,-30,-30,-30,15,15,15) ymin<-c(0.8,1.2,1.8,2.2,2.8,3.2,1.4,2.4,3.4) ymax<-c(0.8,1.2,1.8,2.2,2.8,3.2,1.4,2.4,3.4) label<-c(57,57,23,28,107,116,"p<.001","p<.001","p<.001") p2<-p1 for (i in 1:9){ p2+ annotation_custom2( data = dat %>% filter(group01=="(a) Litter addition vs. removal"), grob = grid::textGrob(label=label[i],hjust=0), xmin=xmin[i],xmax=xmax[i], ymin=ymin[i],ymax=ymax[i]) -> p2 } p2


image.png

在第二个子图和第三个子图添加文本注释也是一样的,这里就不再介绍代码了,可以自己试试

在画图区域外添加文本

p2+ annotation_custom( #data = dat %>% filter(group01=="(a) Litter addition vs. removal"), grob = grid::textGrob(label="Percentage change (%)",hjust=0.5), xmin=0,xmax=0, ymin=0.28,ymax=0.28)+ coord_cartesian(clip = "off")+ theme(legend.background = element_rect(fill="transparent")) -> p3 p3


image.png

给坐标轴的文本添加背景色

p3+ annotation_custom2( grob = grid::rectGrob(gp = grid::gpar(fill = '#e2fcf2', col = '#e2fcf2')), data = dat %>% filter(group01=="(a) Litter addition vs. removal"), xmin = -65, xmax = -33, ymin = 0.5, ymax = 1.5)+ annotation_custom2( grob = grid::rectGrob(gp = grid::gpar(fill = '#ffe9d2', col = '#ffe9d2')), data = dat %>% filter(group01=="(a) Litter addition vs. removal"), xmin = -65, xmax = -33, ymin = 1.5, ymax = 3.5)+ theme(plot.margin = unit(c(0.5,0.5,0.5,5),'lines'))


image.png

最后再添加一些文本信息

p4+ annotation_custom2( data = dat %>% filter(group01=="(a) Litter addition vs. removal"), grob = grid::textGrob(label="Data from all\nexperiments with\nthe corresponding treatment", rot=90, gp=grid::gpar(col='red')), xmin=-85,xmax=-85, ymin=2.5,ymax=2.5)+ annotation_custom2( data = dat %>% filter(group01=="(a) Litter addition vs. removal"), grob = grid::textGrob(label="Data from all\nexperiments with\nthe paired treatment", rot=90, gp=grid::gpar(col='blue')), xmin=-85,xmax=-85, ymin=1,ymax=1)


image.png

示例数据和代码可以给推文点赞 点击在看 最后留言获取

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