visreg provides a number of plotting functions for visualizing fitted regression models: regression functions, confidence bands, partial residuals, interactions, and more.
visreg is compatible with virtually all formula-based models in R that provide a
randomForest and many more.
The basic usage is that you fit a model, for example:
fit <- lm(Ozone ~ Solar.R + Wind + Temp, data=airquality)
and then you pass it to
A more complex example, using the
airquality$Heat <- cut(airquality$Temp, 3, labels=c("Cool", "Mild", "Hot")) fit <- gam(Ozone ~ s(Wind, by=Heat, sp=0.1), data=airquality) visreg(fit, "Wind", "Heat", gg=TRUE, ylab="Ozone")
For details on
visreg syntax and how to use it, see:
The website focuses more on syntax, options, and user interface, while the paper goes into more depth regarding the statistical details.
If you have a question or feature request, please submit an issue.