AverageByCategoricalVariable: Average of one or more numerical features by a categorical...

In masem-research/masemDataUnderstanding: Data Understanding: Helpful basic functions

Average of one or more numerical features by a categorical (target) variable and the single 'CategoricalVariable'

Description

Average of one or more numerical features by a categorical (target) variable and the single 'CategoricalVariable'

Usage

AverageByCategoricalVariable(
  NumericalVariables,
  CategoricalVariable,
  DataFrame,
  dropNA = FALSE
)

Arguments

NumericalVariables	character. Vector of names of numerical variables.
CategoricalVariable	character. Name of single categorical (target) variable.
DataFrame	data.frame. Input data.frame. Has to contain the 'NumericalVariables'
dropNA	boolean. Drop NA values prior to analysis in numerical variable? Default is 'FALSE'

Examples

# a few numerical features
AverageByCategoricalVariable(NumericalVariables = c("Sepal.Length", "Sepal.Width"),
                             CategoricalVariable = c("Species"),
                             DataFrame = iris,
                             dropNA = TRUE)
# a single numerical feature
AverageByCategoricalVariable(NumericalVariables = c("mpg"),
                             CategoricalVariable = c("am"),
                             DataFrame = mtcars,
                             dropNA = TRUE)
# Example with NA values
AverageByCategoricalVariable(NumericalVariables = c("Ozone"),
                             CategoricalVariable = c("Month"),
                             DataFrame = airquality,
                             dropNA = FALSE)
# Drop NA values
AverageByCategoricalVariable(NumericalVariables = c("Ozone"),
                             CategoricalVariable = c("Month"),
                             DataFrame = airquality,
                             dropNA = TRUE)

masem-research/masemDataUnderstanding documentation built on May 5, 2022, 12:40 a.m.