进行绘图将shape列数据映射到aes(shape) library(ggplot2) p=ggplot(dat,aes(x=X,y=Y,shape=shape))+ geom_point(size=20)print(p) AI代码助手复制代码 将直接报错,注意先转化因子: dat$shape=factor(dat$shape) p=ggplot(dat,aes(x=X,y=Y,shape=sh
ggplot(mpg, aes(x = displ, y = hwy, shape = class)) + geom_point(size = 3,color = ...
We will call this base plot `cdat_sp` (for cdat scatter plot) cdat_sp <- ggplot(cdat, aes(x = healthexp, y = infmortality, size = GDP)) + geom_point(shape = 21, colour = "black", fill = "cornsilk") # GDP mapped to area instead, and larger circles cdat_sp + scale_...
geom_point(shape="k",size=10) print(p) 3、如果shape是"." 将绘出有一个非常小的点(此时的size并没能调整到大小) p=ggplot(dat,aes(x=X,y=Y))+ geom_point(shape=".",size=20) print(p) 4如果shape是NA 则隐藏点 p=ggplot(dat,aes(x=X,y=Y))+ geom_point(shape=NA,size=10) print(...
geom_point(mapping =aes(x = displ, y = hwy, alpha = class)) ggplot(data = mpg) + geom_point(mapping =aes(x = displ, y = hwy, shape = class)) 还可以手动为几何对象设置图形属性。例如,我们可以让图中的所有点都为蓝色: 1 2
geom_point(shape=21, color="black", fill="cornsilk") + labs(x="Weight", y="Miles Per Gallon", title="Bubble Chart", size="Engine\nDisplacement") 结果分析:按里程划分的汽车重量的气泡图。点的大小代表发动机排量,aes()函数的参数size=disp生成连续型变量disp(发动机排量)的标尺,并使用它来控制点...
其中,geom_point()中为绘制散点图的相关设置,geom_line()为折线图的相关设置。仅保留geom_point()时,图片仅有散点,仅保留geom_line()时,图片仅有折线。 ggplot(data=data1,aes(x=年份,y=单产))+ geom_point(size=2,shape=21,colour="red",alpha=0.5)+ ...
ggplot(heightweight,aes(x=ageYear,y=heightIn))+geom_point(shape=12,size=1.5) 1. 2. 3. 4. 二 散点图修改 1.基于某变量对数据分组 将分组变量(必须是分类变量)映射给shape和colour属性,下面还是以上面的例子为说明,并选择数据集中的sex作为分类变量。
(Deprecated; last used in version 0.9.2) p + geom_point(aes(shape = factor(cyl))) + scale_shape(solid = FALSE) # Set aesthetics to fixed value p + geom_point(colour = "red", size = 3) qplot(wt, mpg, data = mtcars, colour = I("red"), size = I(3)) # Varying alpha is...
geom_point(color = "red", size = 3) # 显示图形 print(p) 在这个例子中,color = "red" 将点的颜色设置为红色,而 size = 3 将点的大小设置为 3。 形状 你还可以使用shape 参数来改变点的形状。ggplot2 提供了许多不同的点形状选项。 R # 改变点的形状 p <- ggplot(df, aes(x = x, y = ...