prediction.variable.balance: prediction.variable.balance

In PROMiDAT/traineR: Predictive (Classification and Regression) Models Homologator

prediction.variable.balance

Description

Function that graphs the balance of the different categories of a column of a data frame.

Usage

prediction.variable.balance(
  data,
  predict.variable,
  ylab = "Number of individuals",
  xlab = "",
  main = paste("Variable Distribution", predict.variable),
  col = NA
)

Arguments

data	A data frame.
predict.variable	Character type. The name of the variable to predict. This name must be part of the columns of the data frame.
ylab	A character string that describes the y-axis on the graph.
xlab	A character string that describes the x-axis on the graph.
main	Character type. The main title of the chart.
col	A vector that specifies the colors of the categories represented by bars within the chart.

Value

A ggplot object.

Note

With this function we can identify if the data is balanced or not, according to the variable to be predicted.

See Also

ggplot

Examples

prediction.variable.balance(iris,"Species")

PROMiDAT/traineR documentation built on Nov. 13, 2023, 3:21 a.m.