library(ggplot2) library(stringr) library(ggprism) x_level<-paste(df$Group1,df$Group2,sep="_") x_level df1$group<-str_sub(df1$new_col,5,7) df1$new_col<-factor(df1$new_col, levels = x_level) ggplot(df1,aes(x=new_col,y=value))+ stat_boxplot(geom = "errorbar",width=0.2)...
frame(x=c(0.5,1:4), y=-Inf, label=c("n=",313,5,8,5)) ggplot(data=efig7c, aes(x=group_info,y=BLUP))+ geom_boxplot(aes(fill=group_info))+ scale_fill_manual(values = c("#feb2a9","#fdd79d", "#dbcde4","#c993c7"))+ geom_jitter(width = 0.4)+ theme_bw()+ ...
ggp + # Add counts by group to boxplot annotate("text", x = 1:length(table(data$group)), y = aggregate(values ~ group, data, median)[ , 2], label = table(data$group), col = "red", vjust = - 1)By executing the previous R programming code we have managed to create Figure ...
(x=Group,y=Value,fill=Group))+ #”fill=“设置填充颜色 stat_boxplot(geom = "errorbar",width=0.15,aes(color="black"))+ #由于自带的箱形图没有胡须末端没有短横线,使用误差条的方式补上 geom_boxplot(size=0.5,fill="white",outlier.fill="white",outlier.color="white")+ #size设置箱线图的...
Example 4: Modify Fill Colors of Boxplots by Group Until now, we have changed the colors in a ggplot2 line and point graph. This example illustrates how to modify the colors of a boxplot graphic. For this, we can use the fill argument within the aesthetics of the ggplot function: ...
2、基础箱线图的绘制:ggplot2中用于绘制箱线图的函数为geom_boxplot(); library(ggplot2) ggplot(df,aes(group1,value))+ geom_boxplot() 3、颜色修改:包括填充色、边框颜色等; #填充统一颜色 ggplot(df,aes(group1,value))+ geom_boxplot(fill="orange") ...
• geom_boxplot() for box plot• geom_violin() for violin plot• geom_dotplot() for dot plot• geom_jitter() for stripchart• geom_line() for line plot• geom_bar() for bar plot 今天我们介绍一下如何添加bar 先建立一个数据 library(tidyverse)# ToothGrowth data setdf <- ...
ggplot(data = diamond) +geom_boxplot(aes(x=carat, y=price, group=factor(cut))) ggplot(data = diamond) +geom_point(aes(x=carat, y=price, colour=color,shape=cut)) 注:ggplot2支持图层,可以把不同的图层中共用的映射提供给ggplot函数,而某一几何对象才需要的映射参数提供给geom_xxx函数。
geom_boxplot() + coord_flip() • coord_quickmap()函数可以为地图设置合适的纵横比。当使用ggplot2绘制空间数据时,这个函数特别重要。 1 2 3 4 5 6 7 nz <-map_data("nz") ggplot(nz,aes(long, lat, group = group)) + geom_polygon(fill ="white", color ="black") + ...