Description Usage Arguments Value Examples
Takes in a data frame which contains only Quantitative varables in columns. Standadize the variables. Discretize quantitative variables and returns discretized quantitative variables. Discretization was performed by equal width bining algorithm.
1 | discretizeQuant(myDataQuant, noice = TRUE)
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myDataQuant |
A data frame which includes quantitative variables in columns. |
noice |
Noice indicator. If noice = TRUE data standerdization is done by deviding the difference between data point and median of the variable by the range of the variable. If noice = FALSE data standerdization is done by deviding the difference between data point and mean of the variable by the standard deviation of the variable. |
A data frame consists of discretized quantitative variables.
1 2 | QuantVars <- data.frame(Qnvar1 = c(1.5,3.2,4.9,5), Qnvar2 = c(4.8,2,1.1,5.8))
Discretized <- discretizeQuant(QuantVars)
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