process: process

In DataScienceSalon/mdb: Movie Rating Model and Predictor

Description

process Prepares the data for the bivariate analysis stage. Filters out non-essential data, outliers and splits the data set into a set of dependent variables and set with the response variable.

Usage

process(data, stage = "a", y, outliers = NULL)

Arguments

data	Data frame containing movie rating data
stage	Character indicating the stage for which the data is prepared a - used for the exploratory data analysis m - used for modeling stage
y	Character string containing the name of the response variable
outliers	Vector of observations to remove

Value

List with two data frames, independent variables and the dependent variable.

Author(s)

John James, [e-mail]

See Also

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

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