ggplot(data = diamonds) + geom_bar(mapping = aes(x = cut)) 直方图 4.2. 不统计,数据直接做图 +geom_bar(mapping = aes(x = , y = ), stat = "identity") 4.3.统计比例 +geom_bar(mapping = aes(x = cut, y = ..prop.., group = 1)) 5.位置关系 5.1. 抖动的点图:+geom_jitter()...
通过geom_jitter可绘制出抖点图: ggplot(data2,aes(x=variable,y=value ,fill = variable))+ geom_jitter(shape=21,aes(fill=variable),position = position_jitter(width = 0.2))+ xlab("Group")+ylab("Score")+ theme_bw()+theme(legend.position = "none") 通过geom_violin可绘制出小提琴图: ggplot...
R语言 ggplot geom_jitter 不规则抖动 R语言中的ggplot包是一个强大的数据可视化工具,它可以帮助我们更好地理解和展示数据。在ggplot中,geom_jitter函数可以用来创建不规则抖动图,这是一种用于展示离散变量和连续变量之间关系的图形。 不规则抖动图是一种常见的数据可视化方法,它的作用是在离散变量上添加一些随机的抖动...
Cloud Studio代码运行 ggplot()+# empty tile togeta legendwithrectangle keygeom_tile(data=monthly,aes(x=0,y=0,width=0,height=0,fill=color))+# y-axisgeom_segment(data=seg,aes(x=x,xend=xend,y=y,yend=yend),color="white",linetype="12")+geom_text(data=seg_lab,aes(x=x,y=y,label...
geom_text(data = seg_lab, aes(x = x, y = y, label = glue::glue("{y} °C")), color = "black", nudge_y = 1, family = "serif", hjust = 0) 添加抖动的散点 ggplot() + # empty tile to get a legend with rectangle key ...
y=c(1,1,1,4,5,6,1,2,3,4,5,6), group=c("G1","G1","G1","G1","G1","G1", "G2","G2","G2","G2","G2","G2")) library(ggplot2) ggplot()+ geom_jitter(data=df1,aes(x=group,y=y,color=x), position = position_jitterdodge(0.2)) ...
代码 df1<-data.frame(x=c("A","A","A","B","B","B","A","A","A","B","B","B"),y=c(1,1,1,4,5,6,1,2,3,4,5,6),group=c("G1","G1","G1","G1","G1","G1","G2","G2","G2","G2","G2","G2"))library(ggplot2)ggplot()+geom_jitter(data=df1,aes...
曼哈顿图可以理解成一个x对应多个y的散点图,ggplot2里做这种图的函数是geom_jitter() 今天用到的数据集是来自于rMVP这个包中的pig60K数据集 首先是获得这个数据集 library(rMVP)data('pig60K') 使用ggplot2画图 library(ggplot2)ggplot(pig60K,aes(x=Chromosome,y=trait1))+geom_jitter() ...
geom_boxplot() 抖动散点图 ggplot(data=dfToPlot,aes(x=RELATIONSHIP.0, y=BC_Spec, color=RELATIONSHIP.0))+ geom_jitter() 小提琴图 ggplot(data=dfToPlot,aes(x=RELATIONSHIP.0, y=BC_Spec, color=RELATIONSHIP.0))+ geom_violin() 三个图拼图 ...
1. 准备好你的数据，这是关键步骤。为了更详细展示数据特性，可以利用 stat_summary() 添加平均点：2. 通过选择要展示的项目，定制你的箱线图内容。如果你想在箱线图中添加点状图或分散的点，可以使用 geom_dotplot() 或 geom_jitter() 功能：3. 对于分组数据，可通过调整函数参数修改箱线图的...