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())
2.5) + ylim(0,(1.1*(max(df1952`, df1957`))) # X and Y axis limits # Add texts ...
通过在几何图形中使用aes函数指定y轴为y_variable2,同时使用scale_y_continuous函数中的sec.axis参数来指定辅助y轴。 调整辅助y轴的刻度范围: 代码语言:txt 复制 p <- p + coord_cartesian(ylim = c(min(y_variable1, y_variable2), max(y_variable1, y_variable2))) 使用coord_cartesian函数来限制y轴的...
barplot(sort(Number,decreasing = TRUE)) 当我添加x轴值时 axis(1,at = c$b, labels = c$b),正如预期的那样,它只是按字母顺序显示,如表中所述。相反,我需要的是根据y轴中的排序值添加X轴,而不使用GGPLOT2。 我试过 barplot(Number[order(Number,decreasing = TRUE),] 也没有工作。 由于“ alpha”...
在ggplot中,可以通过y轴值对每个面中的因子进行排序。具体的步骤如下: 首先,确保已经安装了ggplot2包。如果没有安装,可以使用以下命令进行安装: 代码语言:R 复制 install.packages("ggplot2") 导入ggplot2包: 代码语言:R 复制 library(ggplot2) 创建一个数据集,包含需要绘制的因子和对应的y轴值。假设数据...
#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 ...
ggplot(tophit,aes(x=reorder(name,avg),y=avg))+geom_point(size=3)+ theme_bw()+theme(axis.text.x = element_text(angle = 60,hjust = 1), panel.grid.major.y = element_blank(), panel.grid.minor.y = element_blank(), panel.grid.major.x = element_line(colour = "grey60",linetype...
levels = my_sort))), labels = unique(factor(df$Species,levels = my_sort)))+ theme_test(base_size = 15)+ labs(x=NULL,y='NO.of BGCs/genome')+ scale_y_continuous(limits = c(0,25))+ theme(legend.title = element_blank(), axis.title = element_text(size = 18), axis.text = ...
> 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", ...
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)) ...