2.5) + ylim(0,(1.1*(max(df1952`, df1957`))) # X and Y axis limits # Add texts ...
levels=sort(unique(mye.seu$celltype)))Idents(mye.seu)="celltype"VlnPlot(mye.seu,features=markerdf2$gene,pt.size=0,ncol=1)+scale_x_discrete("")+theme(axis.text.x.bottom=element_blank())
sort.val="asc",#Sort the valueinascending order sort.by.groups=TRUE,#Sort inside each group x.text.angle=90#Rotate vertically x axis texts)bp+font("x.text",size=8) 代码语言:javascript 复制 #Scatterplots(sp)sp<-ggscatter(mtcars,x="wt",y="mpg",add="reg.line",#Add regression line ...
#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 ...
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", ...
labs(x = "Province", y = "Positive Cases", title = "COVID-19 Positive Cases by Province") + theme(axis.title = element_text(size = 8), axis.text = element_text(angle = 45, size = 5, color = 'grey')) 1. 2. 3. 4. ...
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)+ ...
(mydata_category,mapping=aes(species,value,fill=category))+# 分longer填充颜色geom_bar(stat='identity',position='dodge')+# labs(x = 'species',y = 'time') +# theme(axis.title =element_text(size = 16),axis.text =element_text(size = 14, color = 'black'))+theme(axis.text.x=...
#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 ...