ggplot(mpg, aes(x = displ, y = hwy, shape = class)) + geom_point(size = 3,color = ...
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=shape))+ geom_point(size=10)print(p) AI代码助手...
p=ggplot(dat,aes(x=X,y=Y))+ 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))+ ge...
fill可改变填充色，只适用于形状是21-25 ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point(shape = 23, fill = "blue", color = "darkred", size = 3)添加分组元素（默认 ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point(aes(shape = cyl, color = cyl))也可以用以下函数...
ggplot(data = data, aes(x = x, y = y, alpha = x)) + geom_point() 绘制散点图,并将点的形状映射到 group 值 ggplot(data = data, aes(x = x, y = y, shape = group)) + geom_point(size = 5) 绘制散点图,并将点的大小映射到 y 值 ...
p<-ggplot(data=diamond,mapping=aes(x=carat,y=price,shape=cut))p+geom_point()#绘制点图 #将钻石的切工(cut)映射到分组属性: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #默认分组设置,即group=1p+geom_boxplot()#分组(group)也是ggplot2种映射关系的一种,如果需要把观测点按额外的离散变量进...
2,aes(x=x,y=y,fill=group,color=group))+ geom_point(shape=22,size=5)+ scale_fill_manual(values = c("#fc8072","#a1d99b", "#4192c6"), labels=c("Reference homozygous", "Heterozygous", "Alternate homozygous"))+ scale_color_manual(values = c("#fc8072","#a1d99b", "#4192c6")...
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 3 ggplot(data = mpg) + geom_point(mapping =aes(x = displ, y = hwy), color ="blue") ...
x <- 1:50y <- dpois(x, lambda = 10)data <- data.frame(X=x,y=y)data$type <- as.factor(x)library(ggplot2)ggplot(data, aes(x=x, y=y)) + geom_point(aes(shape=type))图效果如下。同时给出了一段提示：Warning: The shape palette can deal with a maximum of 6 discrete values ...
p+ stat_summary(fun.y=median, geom="point", shape=18, size=3, color="red") 2,向点图中增加点范围 fun.low.mean <- function(x){mean(x)-sd(x)} fun.up.mean<- function(x){mean(x)+sd(x)} ggplot(ToothGrowth, aes(x=dose, y=len)) +geom_dotplot(binaxis='y', stackdir='cente...