p <- ggplot(.,mapping = aes(spray,count)) p1 <- p + geom_boxplot(outlier.shape = 21,outlier.colour = "red",outlier.fill = "blue", col = "black",fill = brewer.pal(6,"Set1")) p2 <- p + stat_boxplot(geom = "errorba
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)...
ggplot(ToothGrowth, aes(x=dose, y=len)) + geom_boxplot(outlier.colour="red", outlier.shape=8, outlier.size=4) 1. 2. 3. 4. 5. 6. 2.3 带点箱线图 #初始箱线图 p <- ggplot(ToothGrowth, aes(x=dose, y=len)) + geom_boxplot() #显示每个值 p + geom_dotplot(binaxis='y', st...
p <- ggplot(data=employee,aes(x=jobcat,y=salary))p+geom_boxplot() 给不同分组按照不同职位类别类填充颜色加以区分。 p+geom_boxplot(aes(fill=jobcat)) 添加图标题和横纵轴标题。 p+geom_boxplot(aes(fill=jobcat))+labs(title="不同职位类别薪资分布",x="职位类别", y = "当前薪资") 3.散...
p <- ggplot(ToothGrowth, aes(x=dose, y=len)) + geom_boxplot() #显示每个值 p + geom_dotplot(binaxis='y', stackdir='center', dotsize=1) 代码语言:text AI代码解释 #发散式散点 p + geom_jitter(shape=16, position=position_jitter(0.2)) # 0.2:X方向上的发散程度 ...
#初始箱线图 p <- ggplot(ToothGrowth, aes(x=dose, y=len)) + geom_boxplot() #显示每个值 p + geom_dotplot(binaxis='y', stackdir='center', dotsize=1) #发散式散点 p + geom_jitter(shape=16, position=position_jitter(0.2)) # 0.2:X方向上的发散程度 2.4 “上色” #根据dose列分...
df$x_factor<-factor(df$x_factor,levels=as.character(x_order$x_factor),ordered = TRUE) 参考文档: ggplot2 box plot : Quick start guide - R software and data visualization A box and whiskers plot (in the style of Tukey) MBA lib 箱线图...
grid.arrange(bp,#bar plot spaning two columnsbxp, sp,#box plot amd scatter plotncol=2, nrow=2, layout_matrix=rbind(c(1, 1), c(2, 3))) 要相对grid.arrange()以及arrangeGrob()的输出进行注释,首先要利用as_ggplot()将其转化为ggplot图形,进而利用函数draw_plot_label()对其进行注释。
The functionscale_x_discretecan be used to change the order of items to “2”, “0.5”, “1” : p + scale_x_discrete(limits=c("2", "0.5", "1")) Box plot with multiple groups # Change box plot colors by groups ggplot(ToothGrowth, aes(x=dose, y=len, fill=supp)) + geom...
An implementation of the Grammar of Graphics in R. Contribute to tidyverse/ggplot2 development by creating an account on GitHub.