evalForwardModel: evalForwardModel

Description Usage Arguments Value Author(s) See Also

Description

evalForwardModel Evaluates linear models for all remaining predictors, one at a time, then returns the variable and adjusted R2 score for the best model.

Usage

1
evalForwardModel(data, model, y, remaining)

Arguments

data

Data frame containing the full model

model,

Data frame containing the variables and adjusted R2 values for the best model as of..

y

Character string containing the name of the response variable

remaining

Vector containing column names for the remaining predictors

Value

Single row data frame containing the variable and adjusted R2 for the best model evaluated

Author(s)

John James, jjames@datasciencesalon.org

See Also

Other movies functions: associate, backwardElimination, back, challenger, comparePredictions, correlate, createDependent, forward, prediction, preprocess, process, regressionAnalysis, univariateQual, univariateQuant, univariate


DataScienceSalon/mdb documentation built on May 28, 2019, 12:23 p.m.