r - ggpmisc::stat_poly_eq 是否重新计算趋势线数学以获取标签？

Question

library(ggplot2)
library(dplyr)
x <- 1:100
y <- (x + x^2 + x^3) + rnorm(length(x), mean = 0, sd = mean(x^3) / 4)
my.data <- data.frame(x = x, y = y,
                      group = c("A", "B"),
                      facet = c("C", "D", "E", "F", "G"),
                      y2 = y * c(0.5,2),
                      w = sqrt(x))

formula <- y ~ poly(x, 3, raw = TRUE)
ggplot(my.data %>% group_by(facet, group) %>% mutate(n = n()), aes(x, y, n = n, color = facet)) +
  geom_point() +
  geom_smooth(method = "lm", formula = formula) +
  facet_grid(vars(group)) + 
  ggpmisc::stat_poly_eq(aes(label = paste(stat(rr.label), paste("N ~`=`~", n), sep = "*\", \"*")), 
                        formula = formula, parse=T)

geom_smooth将计算一次数学以绘制趋势线。如果我再添加ggpmisc::stat_poly_eq，它会重新计算第二次数学以获得标签吗？

Answer 1

是的，他们会适合它两次。我不知道有一种方法可以在“ggplot2”中避免这种情况而不依赖于编写一对新的 stat + geom。我认为可以做到这一点，实际上这将是对软件包的一个很好的增强。