本文介绍了在图上添加回归直线方程和R2的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我想知道如何在 ggplot
上添加回归直线方程和R ^ 2。我的代码是
I wonder how to add regression line equation and R^2 on the ggplot
. My code is
library(ggplot2)
df <- data.frame(x = c(1:100))
df$y <- 2 + 3 * df$x + rnorm(100, sd = 40)
p <- ggplot(data = df, aes(x = x, y = y)) +
geom_smooth(method = "lm", se=FALSE, color="black", formula = y ~ x) +
geom_point()
p
任何帮助都将得到高度评价。
Any help will be highly appreciated.
推荐答案
以下是一个解决方案
Here is one solution
# GET EQUATION AND R-SQUARED AS STRING
# SOURCE: http://goo.gl/K4yh
lm_eqn <- function(df){
m <- lm(y ~ x, df);
eq <- substitute(italic(y) == a + b %.% italic(x)*","~~italic(r)^2~"="~r2,
list(a = format(coef(m)[1], digits = 2),
b = format(coef(m)[2], digits = 2),
r2 = format(summary(m)$r.squared, digits = 3)))
as.character(as.expression(eq));
}
p1 <- p + geom_text(x = 25, y = 300, label = lm_eqn(df), parse = TRUE)
编辑。我想出了我选择这个代码的来源。以下是到ggplot2 google群组中的原始帖子。
EDIT. I figured out the source from where I picked this code. Here is the link to the original post in the ggplot2 google groups
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