I'm trying to treat a continuous variable as discrete for plotting multiple regression lines in a scatterplot as a function of the level on the moderating variable. In the example below, there is only one regression line plotted to the whole data. I would like a separate regression line for each discrete level of the moderator. The moderator is continuous, so I'd like to treat it as discrete for plotting the regression lines.
Here's an example (I would like 7 regression lines corresponding to the discrete levels of the moderator, as displayed in the legend, instead of just 1 regression line): ########################### library(ggplot2) set.seed(1234) predictor <- rnorm(1000, 3) outcome <- rnorm(1000, 10) moderator <- rnorm(1000) mydata <- data.frame(predictor, outcome, moderator) ggplot(mydata, aes(x=predictor, y=outcome, color=moderator)) + geom_point() + scale_colour_gradient2(low="blue", high="red") + stat_smooth(method=lm, se=TRUE, fullrange=T) ########################### Also, how can I set how many discrete levels to plot (e.g., 3 instead of 7)? Thanks in advance! ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
