model_output: Multiple Regression Output

In alishinski/AutoModel: Automated Hierarchical Multiple Regression with Assumptions Checking

Description

Multiple Regression Output

Usage

model_output(models, data, checkList = NULL, formulas, outliers)

Arguments

models	A list of lm model objects. A set of model objects created by create_model_object.
data	The dataframe from which the model was built.
checkList	a list object created by assumptions_check used to create output.
formulas	Formula list produced by create_formula_objects, used for summary table.
outliers	Outlier option, select the number of observations to examine for outliers.

Details

Creates plots and text output to summarize models and check assumptions via objects created by assumptions_check. Uses full model with all predictors.

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)
freeny_model <- freeny_models[[length(freeny_models)]]
checks <- assumptions_check(freeny_model)
model_output(freeny_models, freeny, checks, freeny_model_formulas,
outliers = "significant")

alishinski/AutoModel documentation built on May 12, 2019, 5:37 a.m.