#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 ...
mtcars <- mtcars[order(mtcars$mpg_z), ] # sort 图片 棒棒糖图 棒棒糖图与条形图类似。一般可以使用geom_point()和geom_segment()来画棒棒糖图。借用条形图的数据,我们这里用棒棒糖图来实现它。 library(ggplot2) theme_set(theme_bw()) ggplot(mtcars, aes(x=`car name`, y=mpg_z, label=mpg_z)) ...
levels=sort(unique(mye.seu$celltype)))Idents(mye.seu)="celltype"VlnPlot(mye.seu,features=markerdf2$gene,pt.size=0,ncol=1)+scale_x_discrete("")+theme(axis.text.x.bottom=element_blank())
#Seurat 的stack 函数a <- VlnPlot(sce2, features = top5$gene, stack = TRUE, sort = TRUE) + theme(legend.position = "none") + ggtitle("Identity on y-axis")# flip 翻转b <- VlnPlot(sce2, features = top5$gene, stack = TRUE, sort = TRUE, flip = TRUE) + theme(legend.position ...
,则格式为: + labs(x = "I'm an axis", y = "") 添加轴刻度可以通过在主题中添加axis.ticks.x...或axis.ticks.y来添加轴刻度线: multiple_line + theme( axis.ticks.x = element_line(colour = "#333333"), axis.ticks.length...如果只想释放一个轴的刻度,则将参数设置为free_x或free_y。
> pie <- ggplot(df, aes(x = "", y=freq, fill = factor(class))) + + geom_bar(width = 1, stat = "identity") + + theme(axis.line = element_blank(), + plot.title = element_text(hjust=0.5)) + + labs(fill="class", ...
labs(x = "Province", y = "Positive Cases", title = "COVID-19 Positive Cases by Province") + theme(axis.title = element_text(size = 8), axis.text = element_text(angle = 45, size = 5, color = 'grey')) 1. 2. 3. 4. ...
(mydata_category,mapping=aes(species,value,fill=category))+# 分longer填充颜色geom_bar(stat='identity',position='dodge')+# labs(x = 'species',y = 'time') +# theme(axis.title =element_text(size = 16),axis.text =element_text(size = 14, color = 'black'))+theme(axis.text.x=...
df1 <- data.frame(x=sort(rnorm(N)),y=sort(rnorm(N))) df2 <- data.frame(x=df1$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...