partialResPlot: Partial residual plot of continuous variable

In iNZightVIT/iNZightRegression: Tools for Exploring Regression Models with 'iNZight'

Partial residual plot of continuous variable

Description

This function draws partial residual plots for a continuous explanatory variables in a given model.

Usage

partialResPlot(
  fit,
  varname,
  showBootstraps = nrow(fit$model) >= 30 & nrow(fit$model) < 4000,
  use.inzightplots = FALSE,
  env = parent.frame()
)

allPartialResPlots(fit, ...)

Arguments

fit	an lm, glm or svyglm object.
varname	character, the name of an explanatory variable in the model
showBootstraps	logical, if TRUE, bootstrap smoothers will overlay the graph. By default this is TRUE if there are between 30 and 4000 observations in the model, otherwise it is FALSE.
use.inzightplots	logical, if TRUE, the iNZightPlots package will be used for plotting.
env	environment where the data is stored for bootstrapping
...	additional arguments passed to 'partialResPlot'

Value

No return value, called for side-effect of producing a plot.

Functions

• allPartialResPlots(): Cycle through all partial residual plots

Author(s)

David Banks, Tom Elliott.

Examples

m <- lm(Sepal.Length ~ Sepal.Width + Petal.Width, data = iris)
partialResPlot(m, "Sepal.Width")


allPartialResPlots(lm(Sepal.Length ~ Sepal.Width + Petal.Width, data = iris))

iNZightVIT/iNZightRegression documentation built on April 8, 2024, 10:25 a.m.