seed(1234) ss <- sample(1:32, 15) df <- mtcars[ss, ] #(2) Create a scatter plot: 绘制散点图 p <- ggplot(df, aes(wt, mpg)) + geom_point(color = 'red') + theme_classic(base_size = 10) #(3) Add text labels: 添加文本标签 # Add text annotations using ggplot2::geom_...
The functionsannotation_custom()andtextGrob()are used to add static annotations which are the same in every panel.Thegridpackage is required : library(grid)# Create a textgrob<-grobTree(textGrob("Scatter plot",x=0.1,y=0.95,hjust=0,gp=gpar(col="red",fontsize=13,fontface="italic")))# ...
使用add_heatmap函数组合多个热图或注释信息 add_heatmap(h1, h2)添加小图形 ## # 添加point注释信息...
, plot.subtitle = element_text(hjust = 0.5) ) + ylab(“”) + xlab(“”)Here’s how to turn that into a custom geom called my_geom_col:library(ggpackets)my_geom_col <- ggpacket() + geom_col(color = “black”, fill=”#0072B2″) + theme_minimal() + theme(panel....
add labels to a horizontal column plot (stacked by default) ggplot(data = df, aes(x2, x1, group = grp)) + geom_col(aes(fill = grp), width=0.5) + geom_hline(yintercept = 0) + geom_text( aes(label = grp), position = position...
ggplot2是由Hadley Wickham创建的一个十分强大的可视化R包。按照ggplot2的绘图理念,Plot(图)= data(数据集)+ Aesthetics(美学映射)+ Geometry(几何对象): data: 数据集,主要是data frame; Aesthetics: 美学映射,比如将变量映射给x,y坐标轴,或者映射给颜色、大小、形状等图形属性; ...
axis.text.y=element_text(color="black",size=8,face=..."bold",angle = 0,vjust=0.5), # 自定义y轴文本 axis.ticks = element_blank(), # 移除轴刻度 legend.title...plot.margin = ggplot2::margin(10,60,10,60)) # 设置图的边距 添加注释 # 使用cowplot的ggdraw和draw_plot函数来组合图形和...
add = "mean_se", error.plot = "upper_errorbar") p14 1 2 3 4 # Change error.plot to "pointrange" p15 <- ggbarplot(df3, x = "dose", y = "len", add = "mean_se", error.plot = "pointrange") p15 1 2 3 4 # Ad...
theme(axis.text.x = element_text(angle=65, vjust=0.6)) Dot Plot It emphasizes more on the rank ordering of items with respect to actual values and how far apart are the entities with respect to each other. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 library(ggplot2) library...
dff %>% ggplot(aes(value,ID))+ geom_stripped_rows(odd="grey90",xfrom =-0.5, xto =9.5)+ geom_boxplot(aes(color=type),position = position_dodge(0.5), width=0.5,outliers = FALSE)+ geom_text(data=dff %>% select(1,p.adj) %>% distinct(), aes(x=8.2,y=ID,label=p.adj),size...