ggplot2：绘制具有不同截距但具有相同斜率的回归线

Question

我想绘制截距不同但斜率相同的回归线。

使用以下 ggplot2 代码，我可以绘制具有不同截距和不同斜率的回归线。但是想不出如何绘制具有不同截距但相同斜率的回归线。

library(ggplot2)
    ggplot(data=df3, mapping=aes(x=Income, y=Consumption, color=Gender)) + geom_point() + 
    geom_smooth(data=df3, method = "lm", se=FALSE, mapping=aes(x=Income, y=Consumption))

Consumption <- c(51, 52, 53, 54, 56, 57, 55, 56, 58, 59, 62, 63)
Gender <- gl(n = 2, k = 6, length = 2*6, labels = c("Male", "Female"), ordered = FALSE)
Income <- rep(x=c(80, 90, 100), each=2)
df3 <- data.frame(Consumption, Gender, Income)
df3

# Regression with same slope but different intercepts for each Gender
fm1 <- lm(formula=Consumption~Gender+Income, data=df3)
summary(fm1)

Call:
lm(formula = Consumption ~ Gender + Income, data = df3)

Residuals:
    Min      1Q  Median      3Q     Max 
-0.8333 -0.8333  0.1667  0.1667  1.1667 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept)  26.83333    2.54557   10.54 2.30e-06 ***
GenderFemale  5.00000    0.45812   10.91 1.72e-06 ***
Income        0.30000    0.02805   10.69 2.04e-06 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.7935 on 9 degrees of freedom
Multiple R-squared:  0.9629,    Adjusted R-squared:  0.9546 
F-statistic: 116.7 on 2 and 9 DF,  p-value: 3.657e-07

Answer 1

为什么不用 lm 的结果在 ggplot 之外计算回归：

# Regression with same slope but different intercepts for each Gender
fm1 <- lm(formula=Consumption~Gender+Income, data=df3)
df3 = cbind(df3, pred = predict(fm1))

ggplot(data=df3, mapping=aes(x=Income, y=Consumption, color=Gender)) + geom_point() + 
  geom_line(mapping=aes(y=pred))

产生相同的斜率和不同的截距：

从技术上讲，正如您在模型中看到的那样，没有两个不同的截距，而是对虚拟变量 GenderFemale 的额外偏移。

编辑：包括 predict 以简化，感谢@aosmith 的建议。

ggplot2：绘制具有不同截距但具有相同斜率的回归线

ggplot2: Plotting regression lines with different intercepts but with same slope

statistics

regression

r

linear-regression

ggplot2