ggplot(data = data, aes(x = x, y = y, color = group)) + geom_point() 绘制折线图 ggplot(data = data, aes(x = x, y = y, color = group)) + geom_line() 绘制柱状图 ggplot(data = data, aes(x = group, y = y, fill = group)) + geom_bar(stat = "identity") 绘制散点...
ggplot(data, aes(x = x, y = y, color = group)) + geom_point(size = 3) ``` 在这个例子中,我们使用color = group将颜色映射到“group”列,即为“A”和“B”的两个分组分别分配一个颜色。你可以使用scale_color_manual()函数手动指定颜色。例如: ```R ggplot(data, aes(x = x, y = y,...
(x=x,y=y))+ geom_errorbarh(...= FALSE)+ geom_point(aes(color=group02), size=5, show.legend = TRUE)+ facet_wrap...= FALSE)+ geom_point(aes(color=group02), size=5, show.legend = TRUE)+ facet_wrap...(yintercept = 1, color="gray", lty="dashed")+ geom_hline(yintercept...
p + geom_point(aes(x=mean, y=label))+ geom_errorbarh(aes(y=label,xmin=lower, xmax=upper), height=0,# 控制左右端点两条小竖线的长短 size=1)+ theme_bw() 202204150003 果然是十分完美的! 但既然是ggplot2系列,那必须优雅!直接给你提供一个geom_pointrange()函数。 p+geom_pointrange(aes(x=m...
(1)颜色(color or colour) ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, color = class)) 以“class”这个变量(汽车的分类,可以通过?mpg具体了解)映射到散点图的color这个属性。结果如图4,自带图例。 图4 不同于假设检验,画图可以在数据挖掘过程中探索到一些有趣的信息:图中...
geom_sf(color = "black", fill = "grey") + geom_point(data = df, mapping = aes(x = lon, y = lat, col = cols[num])) + xlab("Longitude") + ylab("Latitude") baseMap 我创建的调色板看起来是这样的: Colour palette 但这会产生以下颜色: ...
(data=intestine.plot.meta.dat)+geom_point(aes(x=tSNE_1,y=tSNE_2,colour=Clusters),size=0.5)+scale_colour_manual(values=mycolors[1:54])+stat_ellipse(aes(x=tSNE_1,y=tSNE_2,fill=Clusters),geom="path",level=0.95,alpha=0.2)+guides(color=guide_legend('Clusters',override.aes=list(size=3...
ggplot(pcm, aes(x = variable, y = station)) + geom_point(aes(fill=value*100,size=value*100),alpha = 0.5, shape = 21) + coord_fixed(ratio=1) + labs( x= "month", y = "station", size = "Percentage", fill ="Percentage") + ...
geom_point(aes(color = class)) #根据class,筛选出每类中 hwy最高的点 best_in_class<-mpg%>%group_by(class)%>%filter(row_number(desc(hwy))==1)ggplot(mpg,aes(displ,hwy))+geom_point(aes(color=class))+geom_text(aes(label=model),data=best_in_class)#如上,点标注需要提供含有名字列的原...
ggplot(data=combined_dataset)+geom_point(mapping=aes(x=rf_bjab_prot,y=rf_bjab_trans),alpha=0.7,size=3,color=ifelse(combined_dataset$name.miapaca%in%genes,"blue1",'maroon'))+geom_point(mapping=aes(x=rf_miapaca_prot,y=rf_miapaca_trans),alpha=0.2,size=3,color=ifelse(combine...