ggplot(data, aes(x = Species, y = Sepal.Length )) + geom_violin(aes(col = Species)) + geom_boxplot(aes(col = Species),width = 0.2) + geom_jitter(aes(col = Species), width = 0.2) 因为绘图函数较多,可以直接在ggplot中的映射函数中对颜色进行设置。 此外,图中的图例显得多余。因为它是...
• Key function: geom_violin()• Alternative function: stat_ydensity()• Key arguments to customize the plot: alpha, color, linetype, size and fill.#基础e+ geom_violin()#旋转e+ geom_violin() + coord_flip()#不修剪小提琴的尾部e+ geom_violin(trim = FALSE, fill = "steelblue")加...
geom_violin(alpha=0.5,aes(linetype=NA))+ xlab("Group")+ylab("Score")+ theme_bw()+theme(legend.position = "none") 通过geom_jitter组合geom_violin可绘制出抖点+小提琴图: ggplot(data2,aes(x=variable,y=value ,fill = variable))+ geom_violin(alpha=0.5,aes(linetype=NA))+ geom_jitter(sh...
Cloud Studio代码运行 ggplot(df,aes(x=cell.type,y=Complexity))+geom_violin(aes(fill=cell.type),show.legend=F)+theme(panel.grid=element_blank(),panel.background=element_blank(),axis.line=element_line(),axis.text.x=element_text(angle=90,hjust=1,vjust=0.5),plot.title=element_text(hjust=0....
ggplot()+geom_violin(data=, aes(x=, y=))+geom_boxplot(data=, aes(x=, y=), width=, position = position_dodge()) 其实就是小提琴图和箱线图的联用,并要主要控制箱线图的宽度 4. 添加中位数点和SD bar require(hmisc) ggplot(kk, aes(x = cluster, y = nCount_RNA)) + geom_violin...
("B", 10))) df library(ggplot2) library(ggprism) ggplot(data = df, aes(x = groups, y = value, fill = type)) + geom_violin(position = position_dodge(0.5))+ geom_boxplot(width=0.1, position = position_dodge(0.5))+ theme_prism()+ scale_fill_manual(values = c("#1c9e77","#...
在学习《R语言实战》这本书,就提到了小提琴图,并且预测该图形的应用将受到重视。ggplot2包也将该图形纳入范畴,通过geom_violin()函数可以轻松绘制小提琴图。 小提琴图实质上也是核密度估计,其用来对多组数据的分布进行比较,如果使用上文中的密度曲线时容易被多条彩色曲线所干扰,而小提琴图是并排排列,对分组数据的...
geom_jitter() 小提琴图 ggplot(data=dfToPlot,aes(x=RELATIONSHIP.0, y=BC_Spec, color=RELATIONSHIP.0))+ geom_violin() 三个图拼图 library(ggplot2) ggplot(data=dfToPlot,aes(x=RELATIONSHIP.0, y=BC_Spec, color=RELATIONSHIP.0))+ geom_boxplot() -> p1 ...
ggplot(vln.dat.melt, aes(factor(seurat_clusters), Expr, fill = gene)) + geom_violin(scale = "width", adjust = 1, trim = TRUE) + facet_grid(rows = vars(gene), scales = "free", switch = "y") 3,ggplot2 绘制-优化 上述是ggplot2绘制堆叠小提琴图的核心代码,可以做很多调整 (1)主题...
`geom_smooth()`usingformula'y ~ x' # 使用权重变量ggplot(midwest,aes(percwhite,percbelowpoverty))+geom_point(aes(size=poptotal/1e6))+geom_smooth(aes(weight=poptotal),method=lm,size=1)+scale_size_area(guide='none') `geom_smooth()`usingformula'y ~ x' ...