model_summary_table: Hierarchical regression: model summary output

In AutoModel: Automated Hierarchical Multiple Regression with Assumptions Checking

Description

Hierarchical regression: model summary output

Usage

model_summary_table(models, formulas)

Arguments

models	A list of lm model objects. A set of model objects created by create_model_object.
formulas	Formula list produced by create_formula_objects.

Details

Creates table output to summarize model statistics for all models in a hierarchical regression analysis.

Examples

freeny_model_formulas <- create_formula_objects("y",
c("lag.quarterly.revenue"), c("price.index"))
freeny_models <- create_model_objects(freeny_model_formulas,
dataset = freeny)
model_summary_table(freeny_models, freeny_model_formulas)

Example output

             R    R^2 Adj R^2 SE Est. Delta R^2  F Change df1 df2  p Fch Sig
Model 1 0.9978 0.9956  0.9955  0.0212    0.9956 8360.3793   1  37      0 ***
Model 2 0.9979 0.9958  0.9956  0.0209     2e-04    2.1304   1  36 0.1531    
Model 1 : y ~ lag.quarterly.revenue 
Model 2 : y ~ lag.quarterly.revenue + price.index 

AutoModel documentation built on May 1, 2019, 9:14 p.m.