AWS Fundamentals by Amazon Web Services.Epidemiology in Public Health Practice by Johns Hopkins University.Google IT Automation with Python by Google.Specialization: Genomic Data Science by Johns Hopkins University.Specialization: Software Development in R by Johns Hopkins University.Specialization: Statistics with R by Duke University.Specialization: Master Machine Learning Fundamentals by University of Washington.Courses: Build Skills for a Top Job in any Industry by Coursera.Specialization: Python for Everybody by University of Michigan.Specialization: Data Science by Johns Hopkins University.Course: Machine Learning: Master the Fundamentals by Stanford.Geom_smooth(aes(color = cyl), method = lm, se = FALSE, fullrange = TRUE) +Ĭoursera - Online Courses and Specialization Data science Geom_smooth(aes(color = cyl, fill = cyl), method = lm) + # Add regression lineī + geom_point() + geom_smooth(method = lm)Ĭhange point color and shapes by groups: # Change color and shape by groups (cyl)ī + geom_point(aes(color = cyl, shape=cyl)) + To add a regression line on a scatter plot, the function geom_smooth() is used in combination with the argument method = lm. level : level of confidence interval to use.If TRUE, the fit spans the full range of the plot If TRUE, confidence interval is displayed around smooth. Note that, it’s also possible to indicate the formula as formula = y ~ poly(x, 3) to specify a degree 3 polynomial. You can read more about loess using the R code ?loess. method = “loess”: This is the default value for small number of observations.Possible values are lm, glm, gam, loess, rlm.

Ggplot2 scatter plot with labels