"Good", "Fair" ) p3 <- ggplot(df, aes(carat, price)) + geom_point(aes(shape = ...
d <- ggplot(dsmall, aes(carat, price)) + geom_point(aes(shape = cut)) p2 <- d + scale_shape(solid = FALSE) p3 <- d + scale_shape(name = "Cut of diamond") levels(dsmall$cut) <- c("Fair", "Good", "Very Good", "Premium", "Ideal") p4 <- ggplot(dsmall, aes(price, c...
ggplot(heightweight,aes(x=ageYear, y=heightIn, shape=sex, fill=weightLb))+ geom_point()+ scale_fill_gradient(low = 'white',high = 'purple')+ scale_shape_manual(values = c(21,22)) #2.6.2 离散数据分组 #使用guide = guide_legend()函数以分组代替 hw <- heightweight ggplot(hw,aes(x...
geom_point()# Map cyl to alphaggplot(mtcars, aes(x = wt, y = mpg, alpha = cyl)) + geom_point()# Map cyl to shapeggplot(mtcars, aes(x = wt, y = mpg, shape = cyl)) + geom_point()# Map cyl to labelsggplot(mtcars, aes(x = wt, y = mpg, label = cyl)) + geom_text(...
ggplot(data = mydata, aes(x,y,fill=cluster,shape=cluster)) + geom_point(size=4,colour="black",alpha=0.7)+ scale_shape_manual(values=c(21,23))+ scale_fill_manual(values=c("#00AFBB", "#FC4E07"))+ labs(x = "Axis X",y="Axis Y")+ ...
ggplot(data = mtcars,aes(x = hp,y = mpg,shape = cyl,color = cyl)) + geom_point(size = 3) + facet_grid(am~vs) + labs(title = "Automobile Data by Engine Type",x = "Horsepower",y = "Miles per Gallon") 1. 2. 3.
pdf(file = "output.pdf", width = 10, height = 8, family = "serif") plota = ggplot(data = df, aes(x=V5, y=V6)) + geom_point(aes(color=V3, shape=V3),size=4)+ geom_text_repel(aes(label=V2),size=4) + scale_x_continuous(name = "mean rate of Missense / Slient") + sca...
aesthetics (fill,size,col,shapeorstroke) base on another column, as ingeom_point(aes(col=state, size=popdensity)), a legend is automatically drawn. 改变标题 Method 1: Usinglabs() library(ggplot2) # Base Plot gg <- ggplot(midwest, aes(x=area, y=poptotal)) + ...
ggplot2 包提供了一套基于图层语法的绘图系统,它弥补了 R 基础绘图系统里的函数缺乏一致性的缺点,将 R 的绘图功能提升到了一个全新的境界。ggplot2 中各种数据可视化的基本原则完全一致,它将数学空间映射到图形元素空间。想象有一张空白的画布,在画布上我们需要定义可视化的数据(data),以及数据变量到图形属性的映射...
ggplot2对映射应用的标尺可以修改,ggplot提供了一大批 scale_xxxxxxxx 类型的函数,比如 scale_color_xxxx 类型函数用户修改颜色标尺,scale_shape_xxxx 修改形状,scale_linetype_xxxx 修改线型等。按照数据的类型,这些函数还有4种基本类型: continuous:连续型