Hierarchical regression: Coefficient table output

Description

Hierarchical regression: Coefficient table output

Usage

model_coefficient_table(models)

Arguments

Details

Creates table output to summarize model coefficients 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_coefficient_table(freeny_models)

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_coefficient_table.Rd_%03d_medium.png", width=480, height=480)
> ### Name: model_coefficient_table
> ### Title: Hierarchical regression: Coefficient table output
> ### Aliases: model_coefficient_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_coefficient_table(freeny_models)
   Model                  term estimate std.error statistic p.value sig
 Model 1           (Intercept)  0.04169   0.10138    0.4112  0.6833    
 Model 1 lag.quarterly.revenue  0.99827   0.01092   91.4351  0.0000 ***
 Model 2           (Intercept)  2.18577   1.47236    1.4845  0.1464    
 Model 2 lag.quarterly.revenue  0.89122   0.07412   12.0240  0.0000 ***
 Model 2           price.index -0.25592   0.17534   -1.4596  0.1531    
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>