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How to create a scatterplot with regression line using ggplot2 with 0 intercept and slope equals to 1 in R?
To create a regression line with 0 intercept and slope equals to 1 using ggplot2, we can use geom_abline function but we need to pass the appropriate limits for the x axis and y axis values. For example, if we have two columns x and y in a data frame df and both have ranges starting from -1 to 1 then the scatterplot with regression line with 0 intercept and slope equals to 1 can be created as −
ggplot(df,aes(x,y))+geom_point()+geom_abline()+lims(x=c(-1,1),y=c(-1,1))
Example
Consider the below data frame −
x<-rnorm(20,5,1.12) y<-rnorm(20,1,0.035) df<-data.frame(x,y) df
Output
x y 1 4.553620 1.0369370 2 4.969202 1.0302152 3 2.794787 0.9859984 4 4.811202 1.0151066 5 2.834154 1.0035345 6 4.811507 1.0662929 7 4.542179 1.0820936 8 5.752000 0.9822227 9 6.396348 1.0068282 10 4.213624 1.0193361 11 7.096180 1.0021550 12 4.909697 1.0823344 13 4.205709 1.0407263 14 4.462543 0.9380729 15 6.103617 0.9695582 16 5.154046 0.9623501 17 4.913657 0.9750284 18 4.924041 1.0226467 19 6.230603 0.9971666 20 6.889095 1.0211787
Loading ggplot2 package and creating scatterplot with regression line having 0 intercept and slope equals to 1 −
Example
library(ggplot2) ggplot(df,aes(x,y))+geom_point()+geom_abline()+lims(x=c(0,9),y=c(0,2))
Output
Updated on 07-Dec-2020 06:08:44
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