R可视化——R语言中的多子图拼接指南

绘制子图

1、加载绘图包

#加载绘图包library(ggplot2)library(ggprism)library(reshape)library(ggpubr)

2、加载并处理数据

#数据df <- data.frame(A = c(1, 2, 3, 4, 5, 6, 8, 12, 13), B = c(1, 2, 4, 5, 7, 10,5,6,8), C = c(1, 5, 6, 7, 8, 9, 10, 11, 13), D = c(1, 2, 5, 8, 10, 13,5,8,6))
df1=melt(df)colnames(df1)=c("group","value")

3、绘制子图

# fig.1p1<-ggplot(df1,aes(x=group,y=value))+ stat_boxplot(geom = "errorbar", width=0.1)+ geom_boxplot(aes(fill=group), outlier.colour="white")+ geom_jitter(width = 0.2)+ theme_prism(palette = "candy_bright", base_fontface = "plain", base_family = "serif", base_size = 16, base_line_size = 0.8, axis_text_angle = 45)+ scale_fill_prism(palette = "candy_bright")+ theme(legend.position="none")p1

# fig.2p2<-ggplot( df1, aes(x = group, y=value,color=group,fill=group) ) + geom_bar(stat="summary",fun=mean,position="dodge")+  stat_summary(fun.data = 'mean_sd', geom = "errorbar", width = 0.3)+ labs(x="Samples",y=NULL)+ theme_prism(palette = "candy_bright", base_fontface = "plain", base_family = "serif", base_size = 16, base_line_size = 0.8, axis_text_angle = 45)+ scale_fill_prism(palette = "candy_bright")+ theme(legend.position="none")p2

# fig.3p3<-ggplot(df1, aes(x = group, y=value,fill=group))+ geom_violin(trim = T,position = position_dodge(width = 0.1))+ geom_boxplot(alpha=1,outlier.size=0, size=0.3, width=0.2,fill="white")+ stat_summary(fun="mean",geom="point",shape=21, size=2,fill="blue")+ labs(x="Samples",y=NULL)+ theme_prism(palette = "flames", base_fontface = "plain", base_family = "serif", base_size = 16, base_line_size = 0.8, axis_text_angle = 45)+ scale_fill_prism(palette = "candy_bright")+ theme(legend.position = 'none')p3

# fig.4p4<-ggplot(df) + geom_segment(aes(x=A, xend=A, y=0, yend=B), color="grey",size=1) + geom_point( aes(x=A, y=B,color=A), size=4 ) + theme_prism(palette = "pearl", base_fontface = "plain", base_family = "serif", base_size = 14, base_line_size = 0.8, axis_text_angle = 45) + theme(legend.position = "none") + ggtitle("Lollipop Chart")p4

cowplot包实现多子图拼接

cowplot::plot_grid(p1,p2,p3,p4,ncol = 2)#按照两行排列

cowplot::plot_grid(p1,p2,p3,p4,ncol = 1)#一列排列

cowplot::plot_grid(p1,p2,p3,p4,ncol = 4)#横向排列

gridExtra包实现多子图拼接

# 图形在这里就不做展示了，与cowplot包拼接一样gridExtra::grid.arrange(p1,p2,p3,p4, layout_matrix=rbind(c(1,2),c(3,4)))#将图形分割为4个区域，上面两个放置图1与图2，下面两个区域则放置图3与图4gridExtra::grid.arrange(p1,p2,p3,p4, layout_matrix=rbind(c(1,2,3,4)))#横向排列gridExtra::grid.arrange(p1,p2,p3,p4, layout_matrix=rbind(c(1),c(2),c(3),c(4)))#纵向排列

patchwork包实现自定义布局拼图

p1/p2#上下拼图

p1+p2#左右拼图

(p1+p2)/p3#混合拼图

p1+p2+p3/p4#混合拼图(不用括号则优先上下拼图再进行左右拼图)

p1+p2+p3+p4+ patchwork::plot_layout(design = " AB CD ")#分成四份，按照正方形布局排列

p1+p2+p3+p4+ patchwork::plot_layout(design = " ABCD ")#分成四份，横向排列

p1+p2+p3+p4+ patchwork::plot_layout(design = " A B C D ")#分成四份，纵向排列

p1+p2+p3+p4+ patchwork::plot_layout(design = " AABBBB# AA###D# ##CC### ##CC### ")#自定义布局给大家找了一篇写的比较好的介绍R语言图形组合的文章，大家可以参考：https://blog.csdn.net/kMD8d5R/article/details/85182184

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