top5 = pbmc.markers %>% group_by(cluster) %>% top_n(n = 5, wt = avg_log2FC) g = unique(top5$gene) 默认参数绘图及调整美化 如果直接使用默认参数,不调节参数展示的情况 DotPlot(pbmc, features = g) 可以看到横坐标中features展示列全部挤在了一起,不便于阅读。因为Dotplot绘图是基于ggplot2...
以下是一个示例代码,展示如何在ggplot2中向DotPlot添加均值和胡须: 代码语言:txt 复制 # 安装和加载必要的包 if (!require(ggplot2)) { install.packages("ggplot2") } library(ggplot2) # 创建示例数据 set.seed(123) data <- data.frame( group = rep(c("A", "B"), each = 50), value = c(...
#默认分组设置,即group=1p+geom_boxplot()#分组(group)也是ggplot2种映射关系的一种,如果需要把观测点按额外的离散变量进行分组处理,必须修改默认的分组设置。 p1<-ggplot(data=diamond,mapping=aes(x=carat,y=price,group=factor(cut)))p1+geom_boxplot() 注意:不同的几何对象,要求的属性会有些不同,这些属...
df3<- df %>%group_by(supp,dose) %>%summarise(sd = sd(len),len = mean(len))head(df3)f <-ggplot(df3, aes(x = dose,y = len,ymin = len-sd,ymax = len+sd))f + geom_crossbar(aes(color = supp))# 使用 position_dodge()避免重叠f + geom_crossbar(aes(color = supp),positio...
因为他用到了一个dot_plot()函数,没有找到这个函数是怎么来的。既然已经拿到了数据,就用ggplot2自己来画吧 读入数据 data.final<-read.csv("NM/figure2f.csv",header=T) head(data.final) 基本的散点图 ggplot(data.final,aes(x=features.plot,y=id))+ geom_point() 用Average expression映射颜色,用...
group_by(seurat_clusters,gene) %>% #分组 mutate(fillcolor=mean(Expr)) #计算均值 2,ggplot2 绘制-核心 ggplot(vln.dat.melt, aes(factor(seurat_clusters), Expr, fill = gene)) + geom_violin(scale = "width", adjust = 1, trim = TRUE) + ...
Change density plot colors by groups Calculate the mean of each group : Change line colors Change fill colors Change the legend position Combine histogram and density plots Use facets Functions:geom_density(),stat_density() Histogram plots
x_order <- df %>%group_by(x_factor)%>%summarize(mean_y=mean(y_value))%>%ungroup()%>%arrange(desc(mean_y))%>%select(x_factor); df$x_factor<-factor(df$x_factor,levels=as.character(x_order$x_factor),ordered = TRUE) 参考文档: ...
Dot plot with multiple groups # Change dot plot colors by groups ggplot(ToothGrowth, aes(x=dose, y=len, fill=supp)) + geom_dotplot(binaxis='y', stackdir='center') # Change the position : interval between dot plot of the same group p<-ggplot(ToothGrowth, aes(x=dose, y=len, ...
x_order <- df %>%group_by(x_factor)%>%summarize(mean_y=mean(y_value))%>%ungroup()%>%arrange(desc(mean_y))%>%select(x_factor); df$x_factor<-factor(df$x_factor,levels=as.character(x_order$x_factor),ordered = TRUE) 参考文档: ...