#Seurat 的stack 函数 a<-VlnPlot(sce2,features=top5$gene,stack=TRUE,sort=TRUE)+theme(legend.position="none")+ggtitle("Identity on y-axis")# flip 翻转 b<-VlnPlot(sce2,features=top5$gene,stack=TRUE,sort=TRUE,flip=TRUE)+theme(legend.position="none")+ggtitle("Identity on x-axis")a+b ...
2.5) + ylim(0,(1.1*(max(df1952`, df1957`))) # X and Y axis limits # Add texts ...
...具体参考说明:data设置数据源,axis设置显示的柱,weight为数值,geom_alluvium为冲击图组间面积连接并按生存率比填充分组,geom_stratum()每种有柱状图,geom_text...()显示柱状图中标签,theme_minimal()主题样式的一种,ggtitle()设置图标题 图1...展示性别与舱位和年龄的关系及存活率比例 我们发现上图居然画的...
geom_text(data = df,aes(x=chromMidelePosFrom0,y=ypos,label=chromName))+ scale_x_continuous(expand = c(0,-1000),limits = c(0,2.9e9),name =NULL,labels =NULL)+ ylim(-0.3,0.3)+ theme_minimal()+ theme(legend.position ="top", axis.text.y = element_text(color ="black",size =14...
ggplot(cty_mpg, aes(x=make, y=mileage)) + geom_point(size=3) + geom_segment(aes(x=make, xend=make, y=0, yend=mileage)) + labs(title="Lollipop Chart", subtitle="Make Vs Avg. Mileage", caption="source: mpg") + theme(axis.text.x = element_text(angle=65, vjust=0.6)) ...
> pie <- ggplot(df, aes(x = "", y=freq, fill = factor(class))) + + geom_bar(width = 1, stat = "identity") + + theme(axis.line = element_blank(), + plot.title = element_text(hjust=0.5)) + + labs(fill="class", ...
y="mpg", fill="cyl",#change fill color by cylcolor="white",#Set bar border colors to whitepalette ="jco",#jco jourbal color palettesort.val ="asc",#Sort the value in ascending ordersort.by.groups =TRUE,#Sort inside each groupx.text.angle=90#Rotate vertically x axis texts )bp+fon...
labels<-paste(round((sort(test$freq)/sum(test$freq))*100,2),"%",sep="") #reorder是重新排序坐标条数,fill是改变柱状图颜色,width改变柱形图宽度,geom_text是标签 p<-ggplot(test,aes(x=reorder(cars,freq),y=freq))+geom_bar(stat="identity",fill = "green",width=0.5)+ ...
df1 <- data.frame(x=sort(rnorm(N)),y=sort(rnorm(N))) df2 <- data.frame(x=df1$x + 0.1*rnorm(N),y=df1$y + 0.1*rnorm(N)) 1. 2. 3. ggplot与geom对象之间的关系主要体现在如下两点: ①ggplot(data=NULL,mapping=aes())):ggplot内有data、mapping两个参数,具有全局优先级,可以被之后的...
#Seurat 的stack 函数a <- VlnPlot(sce2, features = top5$gene, stack = TRUE, sort = TRUE) + theme(legend.position = "none") + ggtitle("Identity on y-axis")# flip 翻转b <- VlnPlot(sce2, features = top5$gene, stack = TRUE, sort = TRUE, flip = TRUE) + theme(legend.position ...