transformation: Relationship between the response variables and predictors

In corkscrew: Preprocessor for Data Modeling

Description

Transformation is used to study the relationship between the two variables. The relationships that are studied include linear, power, log and arctangent.

Usage

transformation(x, y, data)

Arguments

x	Predictor variables in the dataframe that are to be transformed.
y	Response variable in the dataframe.
data	Name of the dataframe.

Details

Applies only when both the response variable and the predictor variables are continuous.

Value

Returns a list

[[1]]	Summary of the predictor variables' best transformation, correlation and influence studied against the y variable
[[2]]	Summary of the predictor variables' correlation and influence for all the transformations studied against the y variable

Author(s)

Navin Loganathan

Examples

data(airquality)
transformation(names(airquality)[2:4],"Ozone",airquality)

corkscrew documentation built on May 1, 2019, 8:23 p.m.