ggplot2:添加回归方程和R2并调整它们在图上的位置

Question

使用df和下面的代码

library(dplyr) 
library(ggplot2)
library(devtools)

df <- diamonds %>%
  dplyr::filter(cut%in%c("Fair","Ideal")) %>%
  dplyr::filter(clarity%in%c("I1" ,  "SI2" , "SI1" , "VS2" , "VS1",  "VVS2")) %>%
  dplyr::mutate(new_price = ifelse(cut == "Fair", 
                                   price* 0.5, 
                                   price * 1.1))

ggplot(df, aes(x= new_price, y= carat, color = cut))+
  geom_point(alpha = 0.3)+
  facet_wrap(~clarity, scales = "free_y")+
  geom_smooth(method = "lm", se = F)

我有这个情节

感谢@ kdauria对这个问题的回答,我将回归方程和R2添加到如下图中

source_gist("524eade46135f6348140")
ggplot(df, aes(x= new_price, y= carat, color = cut))+
  stat_smooth_func(geom="text",method="lm",hjust=0,parse=TRUE)+
  geom_point(alpha = 0.3)+
  facet_wrap(~clarity, scales = "free_y")+
  geom_smooth(method = "lm", se = F)

现在,我想将回归方程的位置和R2调整到每个小平面中的特定位置(例如,在每个小平面的右下方,例如0.2 y和0.8 x).

我试图通过调整位置vjust,hjust但它不起作用.

任何建议都将受到高度赞赏.

Answer 1

试试stat_poly_eq包装ggpmisc:

library(ggpmisc)
formula <- y ~ x
ggplot(df, aes(x= new_price, y= carat, color = cut)) +
  geom_point(alpha = 0.3) +
  facet_wrap(~clarity, scales = "free_y") +
  geom_smooth(method = "lm", formula = formula, se = F) +
  stat_poly_eq(aes(label = paste(..eq.label.., ..rr.label.., sep = "~~~")), 
               label.x.npc = "right", label.y.npc = 0.15,
               formula = formula, parse = TRUE, size = 3)

回报

有关?stat_poly_eq控制输出的其他选项,请参阅.