glance.mlm: Glance at an mlm object

In heplots: Visualizing Hypothesis Tests in Multivariate Linear Models

Glance at an mlm object

Description

This function takes an "mlm" object, fit by lm with a multivariate response. The goal is to return something analogous to glance.lm for a univariate response linear model.

Usage

## S3 method for class 'mlm'
glance(x, ...)

Arguments

x	An mlm object created by lm, i.e., with a multivariate response.
...	Additional arguments. Not used.

Details

In the multivariate case, it returns a tibble with one row for each response variable, containing goodness of fit measures, F-tests and p-values.

Value

A tibble with one row for each response variable and the columns:

r.squared

R squared statistic, or the percent of variation explained by the model.

adj.r.squared

Adjusted R squared statistic, which is like the R squared statistic except taking degrees of freedom into account.

sigma

Estimated standard error of the residuals

fstatitic

Overall F statistic for the model

numdf

Numerator degrees of freedom for the overall test

dendf

Denominator degrees of freedom for the overall test

p.value

P-value corresponding to the F statistic

nobs

Number of observations used

Examples

iris.mod <- lm(cbind(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width) ~ Species, data=iris)
glance(iris.mod)

heplots documentation built on May 29, 2024, 9:24 a.m.