Create Quantile Regression Plot with Larger Line Widths using ggplot2 in R

To create quantile regression plot with larger width of lines using ggplot2 in R, we can follow the below steps −

• First of all, create a data frame.

• Then, use stat_quantile function with size argument and geom_point function of ggplot2 package to create quantile regression plot.

Example

Create the data frame

Let’s create a data frame as shown below −

x<-rpois(25,2)
y<-rpois(25,5)
df<-data.frame(x,y)
df

Output

On executing, the above script generates the below output(this output will vary on your system due to randomization) −

   x y
1  1 6
2  1 1
3  3 4
4  4 9
5  4 7
6  2 5
7  1 7
8  1 4
9  2 7
10 3 3
11 4 3
12 2 5
13 4 7
14 2 7
15 0 8
16 5 0
17 3 4
18 0 2
19 3 0
20 0 5
21 2 5
22 2 5
23 6 7
24 2 2
25 0 3

Create quantile regression plot with larger width of lines

Using stat_quantile function with size argument and geom_point function of ggplot2 package to create quantile regression plot for the data stored in data frame df −

x<-rpois(25,2)
y<-rpois(25,5)
df<-data.frame(x,y)
library(ggplot2)

ggplot(df,aes(x,y))+geom_point()+stat_quantile(formula=y~x,quantiles=c(0.25,0.50,0.75
))

Output

Create quantile regression plot with larger width of lines

Using stat_quantile function with size argument and geom_point function of ggplot2 package to create quantile regression plot with larger width of lines for the data stored in data frame df −

x<-rpois(25,2)
y<-rpois(25,5)
df<-data.frame(x,y)
library(ggplot2)
ggplot(df,aes(x,y))+geom_point()+stat_quantile(formula=y~x,quantiles=c(0.25,0.50,0.75
),size=2)

Output