MEAL (version 1.2.3)

explainedVariance: Calculate R2 for different variables

Description

Using a data.frame as input, calculates the R2 between a dependent variable and some independent variables. Base adjusting by covariates can also be used.

Usage

explainedVariance(data, num_mainvar = 1, num_covariates = 0, variable_label = NULL)

Arguments

data

Data.frame containing the dependent variable in the first column.

num_mainvar

Numerical with the number of variables that should be grouped. They should be at the beggining.

num_covariates

Numerical with the number of variables that should be considered as covariates. Covariates variables must be at the end.

variable_label

Character with the name of the main variable in the results.

Value

Numeric vector with the R2 explained by each of the variables.

Details

explainedVariance computes R2 via linear models. The first column is considered to be the dependent variable. Therefore, a lineal model will be constructed for each of the remaining variables. In case that covariates were included, they will be included in all the models and, in addition, a model containing only the covariates will be returned.

Some variables can be grouped in the models to assess their effect together.

Examples

data(mtcars)
R2 <- explainedVariance(mtcars)
R2