calcCondProb: Calculate Conditional Probabilities.

In DisimForMixed: Calculate Dissimilarity Matrix for Dataset with Mixed Attributes

Description

Takes in a data frame which contains only qualitative variables. Discretized quantitative variables , a mixture of qualitative variables and discretized quantitative variables are also accepted. Calculates conditional probabilities for each pair of attribute values in the data frame. Returns a data frame consists of J, A, B and C in columns where Pr(A|B) = C and J is the column number in the input data frame corresponding to the values in A.

Usage

calcCondProb(myDataAll)

Arguments

myDataAll

A data frame which includes qualitative variables OR discretized quantitative variables OR a mixture of qualitative variables and discretized quantitative variables in columns.

Value

A data frame with four columns J, A, B and C in columns where Pr(A|B) = C and J is the column number in the input data frame corresponding to the values in A.

Examples

QualiVars <- data.frame(Qlvar1 = c("A","B","A","C"), Qlvar2 = c("Q","Q","R","Q"))
CalcForQuali <- calcCondProb(QualiVars)
QuantVars <- data.frame(Qnvar1 = c(1.5,3.2,4.9,5), Qnvar2 = c(4.8,2,1.1,5.8))
Discretized <- discretizeQuant(QuantVars)
CalcForQuant <- calcCondProb(Discretized)
AllQualQuant <- data.frame(QualiVars, Discretized)
CalcForAll <- calcCondProb(AllQualQuant)

Example output

DisimForMixed documentation built on May 1, 2019, 9:25 p.m.