ggplot(data = data, aes(x = x, y = y, size = y)) + geom_point() 绘制折线图,并将线条类型映射到 group 值 ggplot(data = data, aes(x = x, y = y, linetype = group)) + geom_line( 3、geom geom_blank:在图形中插入空白元素。 geom_curve:用于绘制平滑曲线。 geom_path:用于绘制点...
geom_vline(xintercept = 1, linetype = "solid", size = 1, colour = "#ff7f00") + geom_vline(xintercept = 2, linetype = "solid", size = 1, colour = "#1f78b4") +geom_point(aes(x = 1, y = `1999`), size = 3, shape = 21, fill = "green") + geom_point(aes(x = ...
geom_line参数 geom_line参数指的是在ggplot2中用于绘制线条的函数参数。该参数用于指定线条的属性,包括线型、颜色、粗细等。 具体的参数包括: - aes(x,y):指定x轴和y轴的变量; - linetype:指定线型,包括solid(实线)、dashed(虚线)、dotted(点线)等; - color:指定线条的颜色; - size:指定线条的粗细程度;...
geom_line(aes(y = value1, linetype = "Value 1"), size = 1.5) + geom_line(aes(y = value2, linetype = "Value 2"), size = 1.5) + scale_linetype_manual(values = c("Value 1" = "solid", "Value 2" = "dashed")) 通过这种方式,可以清晰地展示多个变量的变化趋势,并且易于区分不同...
折线图geom_line的选项 选项 size线条的粗细 color线条的颜色 linetype线条的类型 不同线条类型绘图 library(ggplot2) ggplot(Orange, aes(age, circumference, linetype = Tree, color = Tree))+ geom_point()+ geom_line(size =1)+ ## 线条粗细 scale_color_brewer(palette = "Set1")+ ## 设置主题颜...
"a23f45b6") # 自定义9种线型 linetypes <- data.frame( y = seq_along(lty), lty = lty ) ggplot(linetypes, aes(0, y)) + geom_segment(aes(xend = 5, yend = y, linetype = lty)) + # 将一个变量映射到线型 scale_linetype_identity() + geom_text(aes(label = lty), hjust = 0...
(3, 5)) ) # 绘制线条图,并根据category设置不同的线条样式 ggplot(df, aes(x = x, y = y, linetype = category)) + geom_line() + scale_linetype_manual(values = c("A" = "solid", "B" = "dotted", "C" = "dashed")) + labs(title = "不同类别的线条样式示例", x = "...
r语言geom_line r语言geom_smooth formula,1例子引入1.ggplot2中,图是采用串联起来的(+)号函数创建的,每个函数修改属于自己的部分。library("ggplot2")ggplot(data=mtcars,aes(x=wt,y=mpg))+geom_point()+labs(title="AutomobileData",x="weight",y="MilesPerGallon")l
p<-ggplot(df,aes(date,count))+geom_line() p 1 p+geom_line(aes(color=more)) 更改线条格式 1 p+geom_line(linetype=3) 点线结合 1 p+geom_line()+geom_point() 点线可选择格式有: 另外还可以对线条加上箭头 1 2 library(grid)
我想知道是否geom_vline(aes(xintercept=as.numeric(x[c(13, 24)])), linetype=4, colour="...