getSplitData for ML models

Usage

getSplitData(
  data = NULL,
  depVar = "Cab",
  inputs = NULL,
  data.trans = NULL,
  method.preProcess = NULL,
  depVar.trans = NULL,
  prop.split = NULL
)

Arguments

data: A dataframe with inputs and variable to predic
depVar: name of the variable to predict
inputs: the a vector with variables names for training and testing the model
data.trans: a data.transformation method, options are: 'PCA','preProcess',
method.preProcess: the data.transformation method for preProcess, data.transformation are: 'Normalize', 'YeoJohnson','BoxCox', Standarize', 'Center','Scale', and 'PCA'
depVar.trans: a boolean variable for applying data transformation in Y variable, options are: TRUE or FALSE.
prop.split: a vector with proportion for spliting the dataset. prop.split =c(0.8,02) will be used as default.

Value

the training and testing dataset with plot and scalers