Conditional Visualization for Statistical Models

Exploring fitted models by interactively taking 2-D and 3-D sections in data space.

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")