#'
#' @name getFormula
#'
#' @title Custom Random Forest.
#' @description Gets formula required by rpart function, based on dataFrame & classes' column's name.
#' Helpful function in mowRandomForest.R
#'
#' @param dataFrame data frame to be used in function mowRandomForest
#' @param dataFrameName name of the data frame (variable name)
#' @param classesColumnName name of the column (attribute) in data frame treated as resulting class
#'
#' @return auto-generated formula in char.
#' @export
getFormula <- function (
dataFrame,
dataFrameName,
classesColumnName
)
{
attributesColumnName <- vector()
classesName <- NA
# iterate through all column names in dataFrame and put it into a vector
# apart from classesColumnName
for (column in colnames(dataFrame))
{
if (column == classesColumnName)
{
classesName <- classesColumnName
next
}
attributesColumnName <- c(attributesColumnName, column)
}
# return if given classesColumnName does not match dataFrame
if(is.na(classesName))
return(NA)
if (classesName != classesColumnName)
return(NA)
dfName <- dataFrameName
# generate formula
userFormula <- paste(dfName, "$", classesName, " ~ ", sep = "")
for(col in attributesColumnName)
{
userFormula <- paste(userFormula, dfName, "$", col, " + ", sep = "")
}
userFormula <- substr(userFormula, 1, nchar(userFormula) - 3)
return(userFormula)
}
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