这是我的样本数据。我想在单个图中对y1
和y2
进行绘制。这就是我所做的:
x1
我想为y1和y2插入一条二次线对x。我这样做了:
library(ISLR)
library(ggplot2)
y1<-scale(Auto$horsepower,scale = T,center=T)
y2<-scale(Auto$weight,scale = T,center=T)
x1<-Auto$mpg
df<-data.frame(y1,y2,x1)
p<-ggplot(df,aes(x=x1)) +
geom_point(aes(y = y1), shape = 16) +
geom_point(aes(y = y2), shape = 2)
它引发了一个错误:
p + stat_smooth(method = "lm", formula = y ~ x + I(x^2), size = 1)
除此之外,stat_smooth命令只会放置一条二次线,而我需要两条二次线
适用于Warning message:
Computation failed in `stat_smooth()`:
variable lengths differ (found for 'x')
和y1
。
我是如何在R中实现这一目标的?
由于
答案 0 :(得分:17)
您应该添加两个stat_smooth()
来电并添加aes()
以显示要使用的y
。
ggplot(df,aes(x=x1)) +
geom_point(aes(y = y1), shape = 16) +
geom_point(aes(y = y2), shape = 2) +
stat_smooth(aes(y = y1),method = "lm", formula = y ~ x + I(x^2), size = 1) +
stat_smooth(aes(y = y2),method = "lm", formula = y ~ x + I(x^2), size = 1, color = "red")
或制作长格式表,然后您只需拨打一次stat_smooth()
和geom_point()
。
library(tidyr)
df_long <- df %>% gather(variable, value, y1:y2)
ggplot(df_long, aes(x1, value, color = variable)) +
geom_point() +
stat_smooth(method = "lm", formula = y ~ x + I(x^2), size = 1)