p<-ggplot(data, aes(x = surstat, y = gene39)) # x分组变量,y表达变量 p+geom_violin() #画出violin plot p+geom_violin(aes(fill = surstat)) #按组别填充颜色 violin 1.2 修改参数美化图: P<- ggplot(data, aes(x = surstat, y = gene39, fill=surstat)) + rotate_x_text(angle = ...
vln.dat=FetchData(sce2,c(top_marker$gene,"celltype","seurat_clusters"))vln.dat$Cell<-rownames(vln.dat)#宽转长 vln.dat.melt<-reshape2::melt(vln.dat,id.vars=c("Cell","seurat_clusters"),measure.vars=top_marker$gene,variable.name="gene",value.name="Expr")%>%group_by(seurat_cluster...
R语言中使用ggplot2包绘制分组小提琴图(violin plot) 作为一名刚入行的开发者,你可能对R语言中的ggplot2包绘制分组小提琴图感到困惑。不用担心,接下来我将一步步教你如何实现这一功能。 1. 准备工作 首先,确保你的R环境中已经安装了ggplot2包。如果没有安装,可以使用以下命令进行安装: install.packages("ggplot2...
ggplot(df, aes(x=journal, y=auth_num, fill=journal)) + geom_violin(scale="width") + geom_boxplot(width=.12, fill=I("black"), notch=T, outlier.size=NA, col="grey40") + stat_summary(fun="median", geom="point", shape=20, col="white") + #scale_y_log10(breaks=c(1:5, ...
此外:geom_boxplot(outlier.size = 0.5) 和 geom_point(size = 0.5) 这两个函数中散点大小需要保持一致。 Step5:配对小提琴图 ggplot(data, aes(x = Group, y = Expression, color = Group)) + geom_violin(size = 1) + geom_line(aes(group = paired), color = "grey80", size = 0.5) + ...
df2<- df %>%group_by(dose)%>%summarise(sd = sd(len),len = mean(len))head(df2)构建图层 f <-ggplot(df2, aes(x = dose,y = len,ymin = len-sd,ymax = len+sd))有不同种类的bar Cross bar f + geom_crossbar()# 颜色分组f + geom_crossbar(aes(color = dose))# 手动设置颜色f ...
4.5 点+箱形图(Dot + Box Plot) 4.6 簇状箱形图(Tufte Boxplot) 4.7 小提琴图(Violin Plot) 4.8 人口金字塔(Population Pyramid) 5 组成(Composition) 5.1 华夫饼图(Waffle Chart) ...
options(repr.plot.width=7, repr.plot.height=6) # facet boxplot bp <- ggplot(expr_data2, aes(x=group, y=expression, fill=NA)) + geom_boxplot(outlier.size=NA, size=0.01, outlier.shape = NA) + geom_jitter(width = 0.3, size=0.01, aes(color=cluster)) + # + geom_boxplot( ...
Basic violin plot Building a violin plot with ggplot2 is pretty straightforward thanks to the dedicated geom_violin() function. # Library library(ggplot2) # create a dataset data <- data.frame( name=c( rep("A",500), rep("B",500), rep("B",500), rep("C",20), rep('D', 100...
ggplot(diamonds,aes(clarity,depth))+geom_boxplot()ggplot(diamonds,aes(carat,depth))+geom_boxplot(aes(group=cut_width(carat,0.1)))+xlim(NA,2.05) geom_violin():小提琴图是密度图一直特殊表达,基本计算方式是相同的,但结果以类似于箱线图的方式显示: ...