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How to display regression intercept using model in a plot created by ggplot2 in R?
To display regression intercept using model in a plot created by ggplot2, we can follow the below steps −
- First of all, create the data frame.
- Use annotate function of ggplot2 to create the scatterplot with regression intercept displayed on the plot.
- Check the regression intercept.
Create the data frame
Let's create a data frame as shown below −
x<-sample(1:100,25) y<-sample(1:100,25) df<-data.frame(x,y) df
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
x y 1 55 8 2 8 22 3 87 66 4 95 49 5 68 57 6 66 31 7 21 13 8 27 77 9 45 25 10 94 46 11 77 7 12 93 50 13 7 58 14 13 82 15 83 88 16 17 39 17 43 23 18 11 35 19 39 24 20 50 40 21 37 99 22 18 78 23 30 42 24 86 17 25 71 16
Create the scatterplot with regression intercept
Creating the scatterplot with regression line and intercept of the model displayed on the plot −
x<-sample(1:100,25)
y<-sample(1:100,25)
df<-data.frame(x,y)
library(ggplot2)
ggplot(df,aes(x,y))+geom_point()+stat_smooth(method="lm",se=F)+annotate("text",x=2
0,y=95,label=(paste0("Intercept==",coef(lm(df$y~df$x))[1])),parse=TRUE)
`geom_smooth()` using formula 'y ~ x'Output
Check intercept of the model
Use coeff function to find the intercept of the model and check if it matches with the one displayed in the plot −
x<-sample(1:100,25) y<-sample(1:100,25) df<-data.frame(x,y) coef(lm(df$y~df$x))[1]
Output
(Intercept) 47.29387
Updated on: 13-Aug-2021
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