This post explains how to build grouped, stacked and percent stacked barplots with R and ggplot2. It provides a reproducible example with code for each type. Barchart section Data to Viz Grouped barchart A grouped barplot display a numeric value for a set of entities split in groups and ...
使用geom_bar()函数并设置position='dodge'可以绘制分组柱状图: p = (ggplot(data, aes(x='category', y='y', fill='sub_category')) + geom_bar(stat='identity', position='dodge') + labs(title='Grouped Bar Plot', x='Category', y='Y-Axis')) print(p) 七、交互式图表 虽然plotnine本身主...
options(repr.plot.width=12,repr.plot.height=12) library(ggpubr) # ToothGrowth data("ToothGrowth") #head(ToothGrowth) # mtcars data("mtcars") mtcars$name <- rownames(mtcars) mtcars$cyl <- as.factor(mtcars$cyl) #head(mtcars[, c("name", "wt", "mpg", "cyl")]) # Bar plot (bp) ...
今天还找到了一份参考资料r - How to plot a Stacked and grouped bar chart in ggplot? - Stack Overflow 这里介绍到的方法是分隔数据集,比如还是用上面构造的dat这个数据集 代码语言:javascript 代码运行次数:0 运行 AI代码解释 dat$x<-ifelse(dat$continent=="Asia",1,ifelse(dat$continent=="EU",2,3...
如果你需要绘制更复杂的条形图(如簇状条形图、堆积条形图等),你可以调整geom_bar()函数中的参数,或者结合其他ggplot2函数来实现。 例如,绘制簇状条形图时,你可以设置position = "dodge",并通过fill参数映射不同的组别: R df_grouped <- data.frame( category = rep(c('A', 'B', 'C', 'D'), ...
今天还找到了一份参考资料 r - How to plot a Stacked and grouped bar chart in ggplot? - Stack Overflow 这里介绍到的方法是分隔数据集,比如还是用上面构造的dat这个数据集 dat$x<-ifelse(dat$continent=="Asia",1, ifelse(dat$continent=="EU",2,3)) df1<-filter(dat,year==2010) df2<-filter(...
Rplot11.png #堆积柱形图 ggplot(df,aes(x=specie,y=value,fill=condition))+geom_bar(stat="identity") ggplot(df,aes(x=specie,y=value,fill=condition))+ geom_bar(stat="identity")+ geom_text(aes(label=value),position=position_stack(vjust=0.5))#添加标签 ...
# Plot g <- ggplot(mpg, aes(cty)) g + geom_density(aes(fill=factor(cyl)), alpha=0.8) + labs(title="Density plot", subtitle="City Mileage Grouped by Number of cylinders", caption="Source: mpg", x="City Mileage", fill="# Cylinders") ...
)+ theme(plot.title = element_text(hjust = 0.5)) R Copy输出天气数据集的叠加条形图叠加条形图的 百分比叠加百分比条形图用于显示每个分类变量的贡献或比例,同时累积主要分类变量。整个条形图被填充到顶部,不同组别占据了与其在条形图中的比例相应的高度。为了绘制百分比堆积条形图,位置参数的值被指定为 “fill...
It is also possible to have lines over each individual bar, even when grouped. dat<-read.table(header=TRUE,text=' cond group result hline control A 10 11 treatment A 11.5 12 control B 12 12.5 treatment B 14 15 ')# Define basic bar plotbp<-ggplot(dat,aes(x=cond,y=result,fill=grou...