Two regression lines in one plot?

Question

I have two cor.test I would like to visualize in a plot using geom_smooth. So far I have a working code with one regression line but I don't know how to add a second regressions line to the same plot. This is my code so far:

cor(opg6wave1$godimportant, opg6wave1$aj, use = 'complete.obs')#-0.309117
cor(opg6wave6$godimportant, opg6wave6$aj, use = 'complete.obs') ##=-0.4321519

ggplot(opg6wave1, aes(x= godimportant, y= aj))+ 
geom_smooth()+ 
labs(title = "Religion og abort over tid", x='Religiøsitet', y= 'Holdning til abort')+
theme_classic()

Thank y'all:)

It's easier to help you if you provide a [reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) with sample input and desired output that can be used to test and verify possible solutions. — MrFlick, May 24 '22 at 13:49

score 2 · Answer 1 · answered May 24 '22 at 13:47

I don't have access to your dataset, you might want to share it? I'm using the diamonds dataset from tidyverse. By putting the dataset in the ggplot(...) command you then have it transfer to any underlying geom_.... You want to specify the data for each regression line separately. We can have two geom_smooth() by specifying the data for each of them separately.

library(tidyverse)

ggplot()+ 
  geom_smooth(diamonds %>% filter(color=="E"), 
              mapping=aes(x=depth, y=price))+
  geom_smooth(diamonds %>% filter(color=="J"), 
              mapping=aes(x=depth, y=price)) +
  theme_classic()

The above for linear model smooth:

ggplot()+ 
  geom_smooth(diamonds %>% filter(color=="E"), 
              mapping=aes(x=depth, y=price),
              method=lm)+
  geom_smooth(diamonds %>% filter(color=="J"), 
              mapping=aes(x=depth, y=price),
              method=lm) +
  theme_classic()

Two regression lines in one plot?

1 Answers1