Description
Conditional Visualization for Statistical Models.
Description
Exploring fitted models by interactively taking 2-D and 3-D sections in data space.
README.md
condvis: Conditional Visualisation for Statistical Models
Interactively exploring fitted models
Interactively take 2-D and 3-D sections in data space, showing where fitted
models intersect the section, and observed data near the section according to
a distance measure. See package website for examples.
Works on Windows, Mac OS and Linux.
Requirements:
- Windows: the standard graphics device is sufficient.
- Mac OS: XQuartz device, website
- Linux: X11, included in some distributions.
Installation:
install.packages("condvis")
Example to get started:
library(condvis)
data(mtcars)
m <- lm(mpg ~ wt + hp, data = mtcars)
ceplot(data = mtcars, model = m, sectionvars = "hp")