plot_qdis.lmvar: Plot of the distribution of quantiles for an object of class...

In lmvar: Linear Regression with Non-Constant Variances

Description

Function produces plot of the distribution of quantiles for an object of class 'lmvar' and, optionally, for another object of class 'lm' or 'lmvar'.

Usage

## S3 method for class 'lmvar'
plot_qdis(object_1, object_2 = NULL, ...)

Arguments

object_1	Object of class 'lmvar'
object_2	Object of class 'lm' or class 'lmvar'
...	for compatibility with plot_qdis generic.

Details

If object_2 is specified, a plot for object_1 and one for object_2 will be combined in the same plot.

If object_2 is of class 'lm', it must contain the response vector y. I.e., one must run lm with argument y = TRUE.

See Also

plot_qdis

Examples

if (interactive()){

library(lmvar)

# create a 'lmvar' model using the 'iris' data set
X = model.matrix(~ Species - 1, data = iris)
fit_lmvar = lmvar(iris$Petal.Length, X, X)

plot_qdis(fit_lmvar)

# compare 'lmvar' model with linear model
fit_lm = lm( Petal.Length ~ Species, data = iris, y = TRUE)

plot_qdis(fit_lmvar, fit_lm)

# check whether inclustion of petal in model improves distribution of quantiles
X = model.matrix(~ Species + Petal.Width - 1, data = iris)
fit_lmvar_width = lmvar(iris$Petal.Length, X, X)

plot_qdis(fit_lmvar, fit_lmvar_width)

}

lmvar documentation built on May 16, 2019, 5:06 p.m.