10/14/2020 · You can use the R visualization library ggplot2 to plot a fitted linear regression model using the following basic syntax: ggplot(data,aes(x, y)) + geom_point() + geom_smooth(method=’ lm ‘) The following example shows how to use this syntax in practice. Example: Plot a Linear Regression Line in ggplot2, Add regression line equation and R^2 to a ggplot. Regression model is fitted using the function lm. stat_regline_equation ( mapping = NULL , data = NULL , formula = y ~ x , label.x.npc = left , label.y.npc = top , label.x = NULL , label.y = NULL , output.type = expression , geom = text , position = identity , na.rm = FALSE , show.legend …
1/26/2021 · ggplot (mtcars, aes (qsec, hp)) + geom_point + geom_smooth (method = lm, formula = y ~ poly (x, 2)) Now it’s your turn! Start a new R session, load some data, and create a ggplot with a linear regression line.
p <- ggplot(data = df, aes(x = x, y = y)) + geom_smooth(method = lm, se=FALSE, formula = my.formula) + stat_poly_eq(formula = my.formula, aes(label = paste(..eq.label....rr.label..,.How to Plot a Linear Regression Line in ggplot2 (With ...Add Regression Line Equation and R-Square to a GGPLOT ...A quick and easy function to plot lm() results with ...How to Plot a Linear Regression Line in ggplot2 (With ...
