Hierarchical regression: model summary output

Description

Hierarchical regression: model summary output

Usage

model_summary_table(models, formulas)

Arguments

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)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(AutoModel)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/AutoModel/model_summary_table.Rd_%03d_medium.png", width=480, height=480)
> ### Name: model_summary_table
> ### Title: Hierarchical regression: model summary output
> ### Aliases: model_summary_table
> 
> ### ** 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)
             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 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>